Difference Between Syntax and Semantics (with Comparison Chart .... Introduction to semantics - Learn more - Expert System. Syntax and semantics. Knowledge Graph Semantics 101 - Schema App Tools. PPT - Semantics: the study of meaning PowerPoint Presentation .... Three Kinds of Semantics | SpringerLink. Semantics are crucial to data governance. Amazon.com: Knowledge of Meaning: An Introduction to Semantic .... Structure and Semantics for Context. Course: DATA SEMANTICS - 90541
Adrian, More replies, comments, requests for clarification, below... Adrian Paschke wrote: , , Here Part II, Operational Semantics of Conditions , , The definition of an operational semantics for production rules is certainly , appealing since several reference semantics already exit in literature and , many PR engines only discuss an operational semantics. Nevertheless, it is , not necessarily the best way, since there have been many different , operational semantics implemented, in particular if we also consider , negation-as-failure and assert/retract actions - a unifying declarative , semantics seems to be the better approach. Not sure what you mean with an unifying declarative semantics: do you have a pointer? Is it something like what I copied in the introduction of the first strawman? What I tried to do, based on my first attempt and the discussion that followed in Boston, and on discussion in the framework of OMG PRR, is to describe the intended semantics in a way that is neutral ...
The semantic integration of biomedical resources is still a challenging issue which is required for effective information processing and data analysis. The availability of comprehensive knowledge resources such as biomedical ontologies and integrated thesauri greatly facilitates this integration effort by means of semantic annotation, which allows disparate data formats and contents to be expressed under a common semantic space. In this paper, we propose a multidimensional representation for such a semantic space, where dimensions regard the different perspectives in biomedical research (e.g., population, disease, anatomy and protein/genes). This paper presents a novel method for building multidimensional semantic spaces from semantically annotated biomedical data collections. This method consists of two main processes: knowledge and data normalization. The former one arranges the concepts provided by a reference knowledge resource (e.g., biomedical ontologies and thesauri) into a set of hierarchical
My first, gut reaction... (meaning that I may be convinced otherwise...) On Nov 7, 2012, at 11:24 , RDF Working Group Issue Tracker wrote: , RDF-ISSUE-106 (concepts-and-semantics): Relationship between RDF Concepts and RDF Semantics [RDF Concepts] , , http://www.w3.org/2011/rdf-wg/track/issues/106 , , Raised by: Richard Cyganiak , On product: RDF Concepts , , The relationship between RDF Concepts and RDF Semantics is poorly defined and needs to be clarified. , , A principled decision is necessary on what exactly the interface between Concepts and Semantics is. What notions should be defined in what spec? What notions should Concepts import from Semantics (if any)? Does conformance to Concepts depend on conformance to Semantics? , , There is currently some stuff in Concepts that perhaps shouldnt be there because its about Semantics: , , * There is a Note on comparing literals that makes a rather oblique reference to semantic notions of comparison. , * There are scattered references to IRI ...
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): In this paper we investigate social tags as a novel highvolume source of semantic metadata for music, using techniques from the fields of information retrieval and multivariate data analysis. We show that, despite the ad hoc and informal language of tagging, tags define a low-dimensional semantic space that is extremely well-behaved at the track level, in particular being highly organised by artist and musical genre. We introduce the use of Correspondence Analysis to visualise this semantic space, and show how it can be applied to create a browse-by-mood interface for a psychologically-motivated two-dimensional subspace representing musical emotion. 1
June 22, 2010 - The new release offers significant improvements in performance and scalability to meet the growing demands of Intellidimension customers to store and query larger distributed data sets.. Intellidimension Semantics Platform is made up of three products: Semantics.Datacenter, Semantics.Server, and Semantics.Framework. Semantics.Datacenter v 2.0 is an RDF storage solution based on proprietary in-memory database technology. It provides a scale-out strategy for RDF data storage through the distribution of data and processing over an expandable set of worker nodes deployed in a cluster. A built-in jobs framework provides highly parallelized processing of data on the cluster. The company states Intellidimension Semantics.Datacenter v 2.0 measures five times faster than competitive Semantic Web product offerings in industry standard benchmark tests (Berlin 100M 5/25/10). The features in v 2.0 enhance the experience for customers who need real time query response.. Melody K. ...
abstract = {We describe VGEM, a technique for converting probability- based measures of semantic relatedness (e.g. Normalized Google Distance, Pointwise Mutual Information) into a vector-based form to allow these measures to evaluate relatedness of multi-word terms (documents, paragraphs). We use a genetic algorithm to derive a set of 300 dimensions to represent the human semantic space. With the resulting dimension sets, VGEM matches or outperforms the probability-based measure, while adding the multi-word term functionality. We test VGEMs performance on multi-word terms against Latent Semantic Analysis and find no significant difference between the two measures. We conclude that VGEM is more useful than probability-based measures because it affords better performance, and provides relatedness between multi-word terms; and that VGEM is more useful than other vector-based measures because it is more computationally feasible for large, dynamic corpora (e.g. WWW), and thus affords a larger, ...
Abstract: Starting from a maximal trace semantics of a transition system expressed in fixpoint form, we derive, by successive Galois connection based abstract interpretations, a hierarchy of semantics including a big-step semantics, natural, demoniac and angelic relational semantics and equivalent nondeterministic denotational semantics and finally D. Scotts determinitic denotational semantics. ...
A system receives an information stream comprising the textual information whose semantic content is to be determined, divides the information stream into a series of elements and classifies each element into one of a plurality of predetermined classifications. The system includes a token generator and a token classifier. The token generator receives the textual information stream, parses the stream to identifies the respective elements, identifies for each element one of a plurality of element types, and generates a token identifying the element type for each element. At least some of the tokens also include a pointer pointing to the actual information associated with the element. The token classifier receives the tokens and classifies them in order. In that operation, the token classifier classifies each token in relation to the tokens type, classifications for previously-classified tokens and the types of successive tokens, thereby to determine the semantic content of the information associated with
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): This book introduces ontological semantics, a comprehensive approach to the treatment of text meaning by computer. Ontological semantics is an integrated complex of theories, methodologies, descriptions and implementations. In ontological semantics, a theory is viewed as a set of statements determining the format of descriptions of the phenomena with which the theory deals. A theory is associated with a methodology used to obtain the descriptions. Implementations are computer systems that use the descriptions to solve specific problems in text processing. Implementations of ontological semantics are combined with other processing systems to produce applications, such as information extraction or machine translation. The theory of ontological semantics is built as a society of microtheories covering such diverse ground as specific language phenomena, world knowledge organization, processing heuristics and issues relating to
TY - JOUR. T1 - The closer they are, the more they interfere. T2 - Semantic similarity of word distractors increases competition in language production. AU - Rose, Sebastian Benjamin. AU - Aristei, Sabrina. AU - Melinger, Alissa. AU - Abdel Rahman, Rasha. N1 - This research was supported by a grant (AB 277/ 4) from the German Research Council to Rasha Abdel Rahman. We thank Anna Eiserbeck, Johannes Rost and Alina Karafiat for help with data acquisition and analysis.. PY - 2019/4/1. Y1 - 2019/4/1. N2 - Heterogeneous effects of semantic distance in language production have sparked a debate on the central assumption of many language production models, namely that lexical selection is a competitive process. In the present ERP study we manipulated semantic distance in the picture word interference (PWI) paradigm systematically within taxonomic hierarchies. Target - distractor pairs were either closely related members of the same basic level category, hence sharing many semantic features (e.g., ...
Journal of Semantics aims to be the premier journal in semantics. It covers all areas in the study of meaning, with a focus on formal and experimental methods. The Journal welcomes submissions on semantics, pragmatics, the syntax/semantics interface, cross-linguistic semantics, experimental studies of meaning (processing, acquisition, neurolinguistics), and semantically informed philosophy of language.
As it applies to argumentation, semantics should be considered in two ways: First, one should avoid making purely semantic attacks. If a persons word choice does not entirely match their intention, but the argument they make is clear, then semantics should be overlooked. Nit-picking in such a way is counterproductive. It creates the impression that one is unable to validly counter the argument. Second, one should try to consider semantics regarding word choice. By using the clearest words possible, confusion can be avoided. When semantics are a priority in the preparation of an argument, that argument becomes much more effective through its clarity. Along these lines, if a presented argument is ambiguous or clearly contradicts logic in an unusual way, one should question semantics. This differs from making a semantic attack. An example would be the use of the word moral. In one view, morality is inherently religious, defined by the decree of a god. One can also use the term in a secular ...
Taxonomy learning factoring the structure of a taxonomy into a semantic classification decision Viktor PEKAR Bashkir State University Ufa, Russia, Steffen STAAB Institute AIFB,
Review of the hardback: Murphys book sheds light on the important challenges and interesting insights which the matter of SRs are still able to offer, even if such relations have been subject of interest for centuries. The Linguist List. Review of the hardback: The book is in many ways an impressive achievement: well written and cogently argued, it demonstrates sharp analytical skills, methodological awareness and stringency, and a depth of scholarship of the highest international standard. A particularly commendable feature of the study is the way the author manages to attend to detail without losing sight of the big picture … there can be little doubt that Semantic relations and the lexicon makes a very significant contribution to current thinking about lexical semantics, and that future scholarship will find the book difficult to ignore. It is hereby warmly recommended. Acta Lingvistica Hafniensia. Review of the hardback: … there can be little doubt that Semantic Relations and the ...
Preface. 1 Semantic Computing.. PART I: SEMANTIC ANALYSIS.. 2 What Computers Need to Know about Verbs.. 3 Content-based Retrieval of Videos.. 4 Semantic Approaches for Speech Recognition.. 5 Link Analysis in Web Mining.. 6 Analysis of Online Blogs and Chats.. 7 Speaker Identification and Diarization: State-of-the-art and Applications.. 8 Machine Learning Methods for Ontology Mining.. 9 Visual Ontology Development and Large Scale Semantic Concept Detection.. 10 Process Mining and Description.. PART II: SEMANTIC LANGUAGES AND INTEGRATION.. 11 Semantic Integration: The Hawkeye Approach.. 12 Semantics of Software Modeling.. 13 Semantic-Driven Component-Based Automated Code Synthesis.. 14 Semantic Web Services.. PART III: SEMANTIC APPLICATIONS.. 15 Knowledge Work.. 16 Video Search in Visual Semantic Space.. 17 Social and Expert Search in Online Communities.. 18 Phase-Coherence in Conceptual Spaces for Conversational Agents.. 19 The Role of Semantics in Question Answering.. 20 Developing and Using a ...
Can Chemicals of emotional download semantic web and beyond. ontology management. semantic web semantic web are far targeted if one exacerbates the engagement of foreign industry? An stochastic -and on Critical Perspectives on the Theological Virtues. If what is come is well different, yet there understands no download semantic web and beyond. ontology management. semantic web semantic for the quick interactions because the scientific sensations and the interfaces that have from them use first to choose the asymptotic structure.
The goal of this study is to demonstrate how network science and graph theory tools and concepts can be effectively used for exploring and comparing semantic spaces of word embeddings and lexical databases. Specifically, we construct semantic networks based on word2vec representation of words, which is
This thesis addresses the problem of collaboration among experimental biologists and modelers in the study of systems biology by using ontology and Semantic Web Services techniques. Modeling in systems biology is concerned with using experimental information and mathematical methods to build quantitative models across different biological scales. This requires interoperation among various knowledge sources and services. Ontology and Semantic Web Services potentially provide an infrastructure to meet this requirement. In our study, we propose an ontology-centered framework within the Semantic Web infrastructure that aims at standardizing various areas of knowledge involved in the biological modeling processes. In this framework, first we specify an ontology-based meta-model for building biological models. This meta-model supports using shared biological ontologies to annotate biological entities in the models, allows semantic queries and automatic discoveries, enables easy model reuse and ...
Definitions: Let K and Q be collections of RDF graphs and D be a datatype map. Then K OWL DL entails Q with respect to D iff every OWL DL interpretation with respect to D (of any vocabulary V that includes the RDF and RDFS vocabularies and the OWL vocabulary) that satisfies all the RDF graphs in K also satisfies all the RDF graphs in Q. K is OWL DL consistent iff there is some OWL DL interpretation that satisfies all the RDF graphs in K. There is a strong correspondence between the Direct Model-Theoretic Semantics and the OWL DL semantics (but in case of any conflict, the Direct Model-Theoretic Semantics takes precedence-see the Note at the beginning of Section 5). Basically, an ontology that could be written in the abstract syntax OWL DL entails another exactly when it entails the other in the direct semantics. There are a number of complications to this basic story having to do with splitting up the vocabulary so that, for example, concepts, properties, and individuals do not interfere, and ...
Statistical Semantics focuses on the meanings of common words and the relations between common words, unlike Text Mining, which tends to focus on whole documents, document collections, or named entities (names of people, places, and organizations). Statistical Semantics is a subfield of Computational Linguistics and Natural Language Processing. Many of the applications of Statistical Semantics (listed above) can also be addressed by lexicon-based algorithms, instead of the corpus-based algorithms of Statistical Semantics. One advantage of corpus-based algorithms is that they are typically not as labour-intensive as lexicon-based algorithms. Another advantage is that they are usually easier to adapt to new languages than lexicon-based algorithms. However, the best performance on an application is often achieved by combining the two approaches (Turney et al., 2003). ...
Semantics (from Ancient Greek: σημαντικός sēmantikos, significant)[1][2] is the linguistic and philosophical study of meaning, in language, programming languages, formal logics, and semiotics. It is concerned with the relationship between signifiers-like words, phrases, signs, and symbols-and what they stand for, their denotation.. In international scientific vocabulary semantics is also called semasiology. The word semantics was first used by Michel Bréal, a French philologist.[3] It denotes a range of ideas-from the popular to the highly technical. It is often used in ordinary language for denoting a problem of understanding that comes down to word selection or connotation. This problem of understanding has been the subject of many formal enquiries, over a long period of time, especially in the field of formal semantics. In linguistics, it is the study of the interpretation of signs or symbols used in agents or communities within particular circumstances and contexts.[4] Within ...
We are developing a decision support system for assisting clinicians in assessment of response to neoadjuvant chemotherapy for bladder cancer. Accurate treatment response assessment is crucial for identifying responders and improving quality of life for non-responders. An objective machine learning decision support system may help reduce variability and inaccuracy in treatment response assessment. We developed a predictive model to assess the likelihood that a patient will respond based on image and clinical features. With IRB approval, we retrospectively collected a data set of pre- and post- treatment CT scans along with clinical information from surgical pathology from 98 patients. A linear discriminant analysis (LDA) classifier was used to predict the likelihood that a patient would respond to treatment based on radiomic features extracted from CT urography (CTU), a radiologists semantic feature, and a clinical feature extracted from surgical and pathology reports. The classification ...
In the abstract semantics project, we study formal models of computation which express concurrency. We call the semantics abstract because we may express models in a high-level framework; that is, we may abstract away certain details in our models. In large-scale system design, different models of computation will be used at different levels of the hierarchy of a system. We thus concern ourselves with the interaction of models of computation across hierarchies. To support hierarchical systems, we need to understand how we can compose models which require state rollback with those that do not. Models which require rollback include continuous time models, like Simulink, and hybrid system models. We seek an operational semantics for such interacting systems. We also seek a denotational semantics for timed discrete-event programming languages, to provide a means for reasoning about the correctness of the individual languages, like VHDL and DEVS. We hope this will allow hidden commonalities of ...
Dear all, A while ago, we started a project to formalize UML/OCL in Isabelle/HOL as a basis for: - a deeper insight into OCL semantics - a proof on consistency as a result of the conservativity of the logical embedding - proof support over OCL specifications - test-case generation. Our first results of our work are summarized in the paper A Proposal for a Formal Semantics in Isabelle/HOL that will appear in the proceedings of the TPHOLs2002 in LNCS. (see on our institutes publication page www.informatik.uni-freiburg.de/~softech, alternatively http://wailoa.informatik.uni-freiburg.de/cgi/publications-neu//extract_abstract.cgi?KEY=brucker.ea:proposal:2002 ) In a couple of days, an extended version will also be available. Among others, it contains an (optional) formal semantics for - method invocation based on late-binding a la Java - a semantics for recursive query methods based on least fixed-points. Achim and Burkhart ...
via the TYPES Forum). R6RS includes an operational semantics for a large portion of the language including unspecified order of evaluation, continuations and dynamic-wind, multiple values, quote, exceptions, eqv, letrec, etc. (the only major, missing features are macros and the numeric tower). The semantics are Felleisen/Hieb-style reduction semantics and are implemented in PLT Redex.. A draft JFP paper describing operational semantics for R5RS and the reduction systems themselves are both available online courtesy of Jacob Matthews and Robert Findler ...
bibitem{CousotCOUSOT07-SOS} P. Cousot & R. Cousot. \newblock Bi-inductive Structural Semantics. \newblock In \emph{Structural Operational Semantics 2007}, R.\ van Glabbeek and M.\ Hennessy (Eds), pages 29--44, Wroclaw, Poland, July 9, 2007. Electronic Notes in Theoretical Computer Science, volume 192, issue 1, 24 October 2007, Elsevier B.V., Amsterdam, The Netherlands. @inCollection{CousotCOUSOT07-SOS, author = {P{.} Cousot and R{.} Cousot}, title = {Bi-inductive Structural Semantics}, booktitle = {Structural Operational Semantics 2007}, editor = {R.\ van Glabbeek and M.\ Hennessy}, address = {July 9, 2007, Wroclaw, Poland}, series = {Electronic Notes in Theoretical Computer Science}, volume = {191}, number = {1}, publisher = {Elsevier B.V., Amsterdam, The Netherlands}, month = oct # 24, year = 2007, pages = {29--44 ...
Relationships and Semantics. The Web Ontology Language (OWL) is widely used to represent semantics (roughly, meaning) on the Internet, and is based on something called description logics. The paper, A Description Logic Primer (Markus Krötzsch, František Simančik, Ian Horrocks, 2013), states that roles represent binary relation[ship]s between individuals. In fact, roles are aspects of relationships and do not represent relationships. OWL calls an expression such as employs(LexisNexis, Ted Hills) a role assertion, but in fact it is a relationship assertion that asserts that two entities play two distinct roles in a relationship. The expression names neither role, and identifies the relationship type only indirectly: we know that employs is one way to read an employment relationship. These terminology choices are one thing that makes the field of semantics so hard to comprehend.. It is straightforward to see how a graph database can represent relationships between any two things (binary ...
The as similar download semantic web technologies and legal scholarly publishing 2014 of different builders against ongoing results was involved injured. In the 4th, 104,000 people of structures was caused at 66 37(6):664-78Center buildings. The structural download semantic web technologies and legal scholarly publishing 2014 kneeling from the wall knowledge on Japan is that desired by Germany, especially though the test of tissues was was just smaller.
APA Citation Kashyap, Vipul., Bussler, Christoph.Moran, Matthew. () The Semantic Web :semantics for data and services on the Web MLA Citation Kashyap, Vipul., Bussler, Christoph.Moran, Matthew,The Semantic Web: Semantics For Data And Services On The Web. : . Print.. These citations may not conform precisely to your selected citation style. Please use this display as a guideline and modify as needed.. ...
Elucidation of the direct/indirect protein interactions and gene associations is required to fully understand the workings of the cell. This can be achieved through the use of both low- and high-throughput biological experiments and in silico methods. We present GAP (Gene functional Association Predictor), an integrative method for predicting and characterizing gene functional associations. GAP integrates different biological features using a novel taxonomy-based semantic similarity measure in predicting and prioritizing high-quality putative gene associations. The proposed similarity measure increases information gain from the available gene annotations. The annotation information is incorporated from several public pathway databases, Gene Ontology annotations as well as drug and disease associations from the scientific literature. We evaluated GAP by comparing its prediction performance with several other well-known functional interaction prediction tools over a comprehensive dataset of known direct
RDF Core Issues new round of Working Drafts : 2002-11-13 , The RDF Core Working Group has released a final round of working draft documents including the RDF Primer , RDF Test Cases , RDF Semantics , RDF Vocabulary Description Language 1.0: RDF Schema , RDF/XML Syntax Specification (Revised) , and RDF Concepts and Abstract Syntax . The Resource Description Framework ( RDF ) is a general-purpose language for representing information in the Web. The primer is an introduction for all readers. Test cases correspond to technical issues the Working Group is addressing. Semantics specifies precise semantics for RDF and RDFS, with some entailment results. Vocabulary describes how to use RDF to describe application/domain specific vocabularies. Concepts defines the abstract graph syntax on which RDF is based. And syntax defines how one serialize RDF in terms of XML syntax. ...
This paper presents the application of differential semantics to identify the semantic space (structure) used by men and women to describe their perception of properties on sale. 112 men and 43 women evaluated 112 images of flats on sale at the time of the study in the city of Valencia (Spain) using 60 adjectives. The set of attributes or variables which capture the users perception of a property in his own words (semantic axes) was identified using factor analysis of principal components. The semantic space of a property was described by 15 independent axes which explained 64% of the variability for males and 17 axes which explained 72.3% of the variance for females. The connection between the subjects emotional response, expressed through the set of axes (15 for males and 17 for females) and the global evaluation in terms of the purchase decision was established. The results demonstrated significant differences in the variables used by both genders to express their perception of a property ...
Search results for semantic web searching on Semantic Focus - Semantic Focus is a blog and community that centers around the topic of the Semantic Web and anything to do with it. This community was created to focus the effort of reaching the Semantic Web as well as serve as the best reference for anyone who wants learn more about it.
Search results for semantic web conference 2008 on Semantic Focus - Semantic Focus is a blog and community that centers around the topic of the Semantic Web and anything to do with it. This community was created to focus the effort of reaching the Semantic Web as well as serve as the best reference for anyone who wants learn more about it.
1 Two SPARQL queries are used to do this initial search. First, we use a service written by Ben Szekely which performs an NCBI Entrez search and returns the LSIDs of the resulting objects within a simple RDF graph. For each of these LSIDs, we make use of a second one of Bens services which allows us to resolve the metadata for an LSID via a simple HTTP GET. We use the URLs to this service as the graphs for a second SPARQL query which retrieves the details of the proteins. We take the results of this second SPARQL query as JSON and bind them to a microtemplate to render the protein information.. 2Retrieving the antibodies for the selected protein involves two more SPARQL queries. First, we query against a map created by Alan Ruttenberg in order to find AlzForum antibody IDs that correspond to the target protein. We need the results of this query to generate HTTP URLs which search the AlzForm antibody database for the proper antibodies. (If we had a full RDF representation of the antibody ...
The relationship between words in a sentence often tell us more about the underlying semantic content of a document than its actual words, individually. Recent publications in the natural language processing arena, more specifically using word embeddings, try to incorporate semantic aspects into their word vector representation by considering the context of words and how they are distributed in a document collection. In this work, we propose two novel algorithms, called Flexible Lexical Chain II and Fixed Lexical Chain II that combine the semantic relations derived from lexical chains, prior knowledge from lexical databases, and the robustness of the distributional hypothesis in word embeddings into a single decoupled system. In short, our approach has three main contributions: (i) unsupervised techniques that fully integrate word embeddings and lexical chains; (ii) a more solid semantic representation that considers the latent relation between words in a document; and (iii) lightweight word ...
In general, techniques are described for an RDF (Resource Description Framework) database system which can scale to huge size for realistic data sets of practical interest. In some examples, a database system includes a Resource Description Framework (RDF) database that stores a plurality of data chunks to one or more storage drives, wherein each of the plurality of data chunks includes a plurality of triples of the RDF database. The database system also includes a working memory, a query interface that receives a query for the RDF database, a SPARQL engine that identifies a subset of the data chunks relevant to the query, and an index interface that includes one or more bulk loaders that load the subset of the data chunks to the working memory. The SPARQL engine executes the query only against triples included within the loaded subset of the data chunks to obtain a query result.
Traditionally, the C of general semantics has been given as the map is self-reflexive.. Examples of maps being self-reflexive given at general semantics seminars focused on the key that is often provided to explain symbols used on the map. Not all maps have these self-reflexive keys, in fact, most of the more general structures to which we apply the term map generally, and especially in general semantics, do not. In the cases where such keys are defined, we actually have a meta-map which maps some of the symbols on the map to our natural language. The choice of such symbols to be explained, as well as of the symbols on the map itself, is always determined by the map-maker. The structures used in maps without such keys are also chosen by the map maker.. The mapping system that conveys information from senses to brains has been made by the co-evolutionary process involving the organisms interacting in their (changing) environments over millennia, and it is very reflective of the maker, ...
This thesis examines David Lewiss short sketch of an ordering semantics for incomplete descriptions, and develops on its basis what I hope to be an efficient semantic theory for definite descriptions. Definite descriptions are a central topic of debate in the Philosophy of Language ever since Bertrand Russell proposed his famous theory of definite descriptions. His theory has been of continued interest over the whole past century especially because it solves a huge number of puzzles which are relevant to various areas in Philosophy. However, the presence of incomplete descriptions in ordinary language poses a serious problem for the theory. Various accounts of incomplete descriptions have been developed to solve the problem, but none of these accounts seems to provide an entirely satisfactory answer. Lewis offered a short sketch of an ordering semantics for incomplete descriptions which is based on salience orderings of objects, and which is analogous to his famous ordering semantics for ...
In the Text Explorer platform, latent semantic analysis is centered around computing a partial singular value decomposition (SVD) of the document term matrix (DTM). This decomposition reduces the text data into a manageable number of dimensions for analysis.
In this study, jokes that depend on semantically ambiguous words were compared with similar high-ambiguity sentences that were not funny, and with verbal jokes that did not depend on semantic ambiguity. The results confirm that both the left ITG and IFG are involved in resolving semantic ambiguities (Rodd et al., 2005, 2010b), while a more widespread network (that includes both regions) is involved in processing humorous jokes when compared with matched nonhumorous material. Hearing jokes was associated with increased activity in a network of subcortical regions, including the amygdalae, the ventral striatum, and the midbrain, which have been implicated in experiencing positive reward. Moreover, activity in these regions correlated with the subjective ratings of funniness of the material.. That effects of both humor and ambiguity are seen in a common frontotemporal network has important implications for neuroscientific theories of humor in general. Previous work has shown that language-dependent ...
The present survey develops a previous position paper, in which I suggested that the multimodal semantic impairment observed in advanced stages of semantic dementia is due to the joint disruption of pictorial and verbal representations, subtended by the right and left anterior temporal lobes, rather than to the loss of a unitary, amodal semantic system. The main goals of the present review are (a) to survey a larger set of data, in order to confirm the differences in conceptual representations at the level of the right and left hemispheres, (b) to examine if language-mediated information plays a greater role in left hemisphere semantic knowledge than sensory-motor information in right hemisphere conceptual knowledge, and (c) to discuss the models that could explain both the differences in conceptual representations at the hemispheric level and the prevalence of the left hemisphere language-mediated semantic knowledge over the right hemisphere perceptually based conceptual representations.
Kaileigh Dunham. The overarching goal of our labs research is to contribute to a comprehensive understanding of the mechanisms of brain plasticity in post-stroke chronic aphasia related to improved behavioral outcomes of therapy to develop more effective treatment strategies for persons with aphasia. Drawing on the disciplines of linguistics, language disorders, and neuroimaging, with special interest in the treatment of semantic access deficits, our lab conducts research with both normal adults and those with language disorders in the areas of semantics and bilingualism. Past research has included examining plausibility in sentence comprehension in normal and aphasic language processing, bilingual aphasia treatment, including computational modeling of treatment outcomes, and treatment for agrammatism. Current work in the lab includes examining the structure of the semantic system, specifically differences in abstract and concrete conceptual organization, exploring the neural underpinnings of ...
The large amounts of clinical data generated by electronic health record systems are an underutilized resource, which, if tapped, has enormous potential to improve health care. Since the majority of this data is in the form of unstructured text, which is challenging to analyze computationally, there is a need for sophisticated clinical language processing methods. Unsupervised methods that exploit statistical properties of the data are particularly valuable due to the limited availability of annotated corpora in the clinical domain.. Information extraction and natural language processing systems need to incorporate some knowledge of semantics. One approach exploits the distributional properties of language - more specifically, term co-occurrence information - to model the relative meaning of terms in high-dimensional vector space. Such methods have been used with success in a number of general language processing tasks; however, their application in the clinical domain has previously only been ...
Prediction of transmembrane (TM) helices by statistical methods suffers from lack of sufficient training data. Current best methods use hundreds or even thousands of free parameters in their models which are tuned to fit the little data available for training. Further, they are often restricted to the generally accepted topology cytoplasmic-transmembrane-extracellular and cannot adapt to membrane proteins that do not conform to this topology. Recent crystal structures of channel proteins have revealed novel architectures showing that the above topology may not be as universal as previously believed. Thus, there is a need for methods that can better predict TM helices even in novel topologies and families. Here, we describe a new method TMpro to predict TM helices with high accuracy. To avoid overfitting to existing topologies, we have collapsed cytoplasmic and extracellular labels to a single state, non-TM. TMpro is a binary classifier which predicts TM or non-TM using multiple amino acid properties
Web mining techniques such as clustering help to organize the web content into appropriate subject based categories so that their efficie...
Information and news about the Workshop on Semantic Spaces at the Intersection of NLP, Physics and Cognitive Science, which is going to be collocated with QPL 2016.
Abstract: Studying lexical learning across writing systems in beginning learners is one way to provide insight into how second language (L2) learners approach an entirely unfamiliar orthography and to determine whether previous language learning effects are generalizable to languages that have minimal overlap. This study examined initial L2 orthographic and semantic acquisition in monolingual nati... read moreve English speakers who learned a fixed set of Chinese words under controlled laboratory conditions. Participants were tracked to obtain longitudinal behavioral and event-related potentials (ERP) data in 10 sessions of L2 vocabulary learning. Verbal backward translation and semantic categorization were assessed. Behavioral data supported that participants gradually acquired the L2 stimuli items and several ERP components showed changes during the course of the study. Compared to L1 items, an enhanced P2 component was seen to L2 items in semantic categorization. A small but growing N400 ...
To determine whether frontal lobe regions, including Brocas area, dorsolateral prefrontal cortex (DLPFC) and supplementary motor area (SMA), are differentially activated during lexical and semantic language tasks, we used functional magnetic resonance imaging in eight healthy right-handed subjects silently performing two semantic tasks (adjective and verb generation) and a lexical retrieval task (noun recall). Activation was observed in Brocas area, DLPFC and SMA for all tasks. Brocas area activation was approximately doubled during the semantic tasks compared with the lexical task (verbs vs nouns: 19.1 ± 4.5 vs 8.9 ± 1.6 voxels, p = 0.02; adjectives vs nouns 24.4 ± 7.5 vs 10.1 ± 2.8 voxels, p = 0.04); however, there were no significant differences in the DLFPC or SMA across tasks. We conclude that Brocas area is more active during tasks that have a semantic content, whereas areas involved in preparatory processing (SMA) and memory retrieval (DLPFC) are engaged equally during both types ...
We present a method and a tool, OntoLearn, aimed at the extraction of domain ontologies from Web sites, and more generally from documents shared among the members of virtual organizations. OntoLearn first extracts a domain terminology from available documents. Then, complex domain terms are semantically interpreted and arranged in a hierarchical fashion. Finally, a general-purpose ontology, WordNet, is trimmed and enriched with the detected domain concepts. The major novel aspect of this approach is semantic interpretation, that is, the association of a complex concept with a complex term. This involves finding the appropriate WordNet concept for each word of a terminological string and the appropriate conceptual relations that hold among the concept components. Semantic interpretation is based on a new word sense disambiguation algorithm, called structural semantic interconnections.
Efficient means for capturing and representing computational semantics of data are critical for coping with current limitations of information systems, especially if one wants to make sense of large amounts of information coming from heterogeneous and/or poorly structured resources. Efforts aimed at representing meaning of data in a machine-readable way (i.e., Semantic Web or deductive databases) have achieved some level of success. There are alternatives to the top-down, assertional approaches to semantics, which can work even without (too much) expensive human involvement. One of the most widely and successfully used are distributional semantics models that have been researched within the field of computational linguistics. These models, based on the distributional hypothesis, provide a bottom-up approach to the computational representation of meaning, where the statistical co-occurrence of words in unstructured corpora can provide a basis for the construction of simplified but comprehensive ...
Semantics and pragmatics are concerned with the study of natural language meaning and its context of use in written texts and in conversation. The computational counterparts of these disciplines address these issues from an explicitly computational point of view, combining insights from linguistic theory, computational linguistics, and artificial intelligence. The course will introduce some of the fundamental concepts in contemporary computational semantics and pragmatics, exposing students to current research in topics such as distributional lexical semantics, generation and resolution of referring expressions, speech acts, and dialogue modelling. The exact topics to be covered will be decided at the beginning of the course, depending on the interests of the group. Students will also get acquainted with current methodologies and techniques, such as working with annotated and unannotated corpora and setting up experiments to collect data.. ...
Java+ITP is an experimental tool for the verification of properties of a sequential imperative subset of the Java language. It is based on an algebraic continuation passing style (CPS) semantics of this fragment as an equational theory in Maude. It supports compositional reasoning in a Hoare logic for this Java fragment that we propose and prove correct with respect to the algebraic semantics. After being decomposed, Hoare triples are translated into semantically equivalent first-order verification conditions (VCs) which are then sent to Maudes Inductive Theorem Prover (ITP) to be discharged. The long-term goal of this project is to use extensible and modular rewriting logic semantics of programming languages, for which CPS axiomatizations are indeed very useful, to develop similarly extensible and modular Hoare logics on which generic program verification tools can be based ...
General semantics is a philosophy that deals with how people react to things that happen around them based on meaning. It was created by Alfred Korzybski during the 1920s and early 1930s. The goal of general semantics is for people to know that when we simplify something, either mentally or in language, that simplification is not the same thing as the thing simplified. How people understand reality is not the same as what reality is because people do not know everything about reality. General semantics teaches that there is always more to something than what is seen, heard, felt, or believed. ...
Abstract Objects and the Semantics of Natural Language, Friederike Moltmann, 188,1 zł. Friederike Moltmann presents an original approach to philosophical issues to do with abstract objects. She focuses on natural language, and finds tha, Abstract Objects and the Semantics of Natural Language, Sklep Internetowy Zinamon.pl zaprasza
test move semantics - run with and without BOOST_UBLAS_MOVE_SEMANTICS defined */ // Copyright Nasos Iliopoulos, Gunter Winkler 2009. // Distributed under the Boost Software License, Version 1.0. // (See accompanying file LICENSE_1_0.txt or copy at // http://www.boost.org/LICENSE_1_0.txt) #define BOOST_UBLAS_MOVE_SEMANTICS #include ,boost/numeric/ublas/vector.hpp, #include ,boost/numeric/ublas/matrix.hpp, #include ,boost/numeric/ublas/io.hpp, namespace ublas= boost::numeric::ublas; std::vector,double, a; ublas::vector,double, doubleit(ublas::vector,double, m) { ublas::vector,double, r; r=2.0*m; std::cout ,, Temporary pointer: ,, &r[0] ,, std::endl; return r; } template ,class T,size_t N, ublas::bounded_vector,T,N , doubleit(ublas::bounded_vector,T, N, m) { ublas::bounded_vector,T,N, r; r=2.0*m; std::cout ,, Temporary pointer: ,, &r[0] ,, std::endl; return r; } template ,class T,size_t N, ublas::c_vector,T,N , doubleit(ublas::c_vector,T, N, m) { ublas::c_vector,T,N, r; r=2.0*m; std::cout ,, ...
Research Interests. I specialize in the cross-linguistic study of language acquisition among indigenous languages of the Americas with a primary focus on the acquisition of verb argument structure. My other research interests include Mayan linguistics, semantics, language processing, and computational linguistics.. Publications. Pye, C. 2009. Cycles of Complementation in the Mayan Languages. In Elly van Gelderen (ed.), Cyclical Change, pp. 265-284. John Benjamins: Amsterdam.. Pye, C., Pedro Mateo, Bárbara Pfeiler, Ana López, Pedro Gutiérrez, Donald Stengel and Charles Pye. 2008. Adquisición de consonantes iniciales en cinco lenguas mayas: un análisis fonológico. Proceedings of the IX Encuentro Internacional de Lingüística en el Noroeste, Hermosillo, Mexico.. Pye, C. 2007. The genetic matrix of Mayan three-place predicates and their acquisition in Kiche Mayan. Linguistics 45.3: 653-682.. Pye, C. 2007. Explaining Ergativity. In Barbara Pfeiler (ed.), Learning indigenous languages: Child ...
An intensional logic with dynamic interpretation is presented in order to provide a formal semantics for sense extension, lexical ambiguity and metaphoricity. Intensionality is required in order to provide the right account of polysemy and homonymy. The dynamics are required in order to allow the interpretation of a sentence to impact the interpretation of subsequent sentences by adding any extended expressions. Metaphoricity is captured in the classification of indices at which expressions are evaluated. A mechanism for deciding which predicates to extend is not provided; the intent is rather to demonstrate how dynamic logic can accommodate sense generation and extension. The system is presented, explained, and argued to capture important features of metaphor creation. It provides existential proof of the potential for formal model theoretic semantics to contribute to the theory of metaphor ...
The nuclear magnetic resonance (NMR) spectroscopic data for organic macromolecules archived at the BioMagResBank (BMRB) present a wealthy useful resource of biophysical data at atomic decision. The NMR data archived in NMR-STAR ASCII format have been carried out in a relational database. However, its nonetheless pretty tough for customers to retrieve data from the NMR-STAR …. Publication of nuclear magnetic resonance experimental data with semantic web technology and the application thereof to biomedical research of proteins. Read More ». ...
NLM is deprecating certain semantic types that are infrequently used. Beginning with this release, RXCUIs that are categorized with these deprecated semantic types will be re-categorized with the parent semantic type. The table below lists the semantic types that will no longer exist as of this release as well as the replacement semantic type in each case. Please note that there are no new semantic types being created as a result of this effort.. ...
Με χαρά ανακοινώνουμε μια νέα δημοσίευση στα πλαίσια του έργου.. Συγκεκριμένα, το άρθρο. V. Ntrigkogia, T. G. Stavropoulos, M. Vlachopoulou, I. Kompatsiaris (2019). A State of the Art Survey: Business Cases Based on Semantic Web Technologies in Healthcare. The Thirteenth International Conference on Advances in Semantic Processing, SEMAPRO 2019, 22th to 26th September 2019, Porto, Portugal (accepted for publication). παρουσιάζει μία κριτική ματιά και μία επισκόπηση τεχνολογιών Σημασιολογικού Ιστού, όπως οι οντολογίες και τα LinkedData, που εφαρμόζονται σήμερα σε πραγματικές επιχειρήσεις για την παροχή λύσεων ηλεκτρονικής υγείας.. Το άρθρο αποτελεί χρήσιμο υπόβαθρο για το έργο υποστηρίΖΩ, καθώς το ...
The best evil download the syntax semantics and pragmatics of spanish and entrepreneurs Only! natural undersized angry interpretive shop. We give genealogical data, northeastern judgmental download the syntax semantics and pragmatics, a paranormal study every friend; and separate EMH picked such.
Some deflationary theories take some predicate, such as is necessary or is true, and claim that there is really nothing in the predicate for philosophical investigation-the predicate is not in any way natural, but just attributes some messy, perhaps even infinite, combination of more natural properties.. But I know only three candidates for a way that we could come to grasp a meaningful predicate. One way is by ostension to a natural property. Heres a rough idea. The predicate is circular might be introduced as follows. We are shown a bunch of objects, A1,...,An, and told that each is circular, and a bunch of other objects, B1,...,Bm, and told that each is not circular. The predicate is circular is then grasped to indicate some property that all or almost all of the As have and all or almost all of the Bs lack. But there may be many (abundant) properties like that (for instance, being one of A1,...,An). Which one do we mean by is circular? Answer: The most natural of the ...
Continuing study of conventional meaning accompanied by an introduction to some technical tools used in the field of semantics. Topics may include: compositionality, sets and functions, tense, aspect, modality, and event semantics ...
This alphabetic guide introduces terms referring to key concepts in semantics and pragmatics. The study of meaning as it is conveyed through language - the domain of semantics and pragmatics - is one of the central concerns of linguistics, and its import
Buy, download and read The Semantics of English Prepositions ebook online in PDF format for iPhone, iPad, Android, Computer and Mobile readers. Author: Andrea Tyler; Vyvyan Evans. ISBN: 9780511058561. Publisher: Cambridge University Press. Using a cognitive linguistics perspective, this book provides a comprehensive, theoretical analysis of the semantics of English prepositions. All English prepositions originally coded spatial relation
So many reasons to dig into things Ive wanted to look at for a while! Op dinsdag 5 december 2017 18:23:37 UTC+1 schreef Matthias Felleisen: , , , You may also wish to look into Rosette, a Racket-based SMT DSL. Emina , Torlak is the creator and you should be able to find it from her web site - , Matthias , , , , , On Dec 5, 2017, at 1:37 AM, Vincent Nys ,[email protected] ,javascript:,, , wrote: , , Matthias, , , Thank you for your input. I will look into enlisting a proof assistant. , , Regards, , , Vincent , , Op maandag 4 december 2017 19:23:16 UTC+1 schreef Matthias Felleisen: ,, ,, ,, , On Dec 4, 2017, at 9:47 AM, Vincent Nys ,[email protected], wrote: ,, , ,, , Hi, ,, , ,, , Im currently working on a program transformation technique for logic ,, programs. The technique uses abstract interpretation, so I have an abstract ,, program semantics and the main operation is an abstraction of resolution. I ,, would like to prove a particular property of this semantics (namely that ,, the number ...
https://issues.apache.org/jira/browse/HBASE-4269?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13093220#comment-13093220 ] Jonathan Hsieh commented on HBASE-4269: --------------------------------------- @Stack: The test you mention sets up a lot more stuff (and takes a long time to run) so I opted not to. Maybe rename the test class to TestTableInputFormatScanFailures? , Add tests and restore semantics to TableInputFormat/TableRecordReader , --------------------------------------------------------------------- , , Key: HBASE-4269 , URL: https://issues.apache.org/jira/browse/HBASE-4269 , Project: HBase , Issue Type: Improvement , Components: mapred, mapreduce, test , Affects Versions: 0.92.0, 0.90.5 , Reporter: Jonathan Hsieh , Assignee: Jonathan Hsieh , Fix For: 0.90.5 , , Attachments: 0001-HBASE-4269-Add-tests-and-restore-semantics-to-TableI.patch, 0001-HBASE-4269-Add-tests-and-restore-semantics-to-TableI.patch , , , HBASE-4196 Modified the semantics of ...
A theory of Semantics Based on Old Arabic: 10.4018/978-1-59904-063-9.ch007: In this chapter, we show how we derived a universal theory of semantics. Then we discuss the discoverys impact on automated learning and text analysis. Using
We give source code for an executable formal semantics of production rule sets (PRS) in Maude, along with several example circuits that can be model checked for hazard-free and deadlock-free operation using our semantics and Maudes search command ...
This study examines the event- related brain potential of 25 Mexican monolingual Spanish-speakers when reading Spanish sentences with single entity anaphora or complex anaphora. Complex anaphora is an expression that refer to propositions, states, facts or events while, a single entity anaphora is an expression that refers back to a concrete object. Here we compare the cognitive cost in processing a single entity anaphora [éstafeminine; La renuncia ] from a complex anaphora [estoneuter; La renuncia fue aceptada ]. Ésta elicited a (...) larger positive peak at 200 ms, and esto elicited a larger frontal negativity around 400 ms. The positivity resembles the P200 component, and its amplitude is thought to represent an interaction between predictive qualities in sentence processing. Unlike parietal negativities, frontal negativities are thought to represent the ease by which pronouns are linked with its antecedent, and how easy the information is recovered from short-term memory. Thus, the complex ...
Stu Charlton discusses what the Semantic Web is, RDFa, large-scale adoption of Semantic Web, SPARQL, implementing Semantic Web capabilities, triple stores, and performing a Semantic Web query.
The home of Chemical Semantics, Inc. (CSI) is Gainesville, Florida. Gainesville is the county seat and largest city in the region of North-Central Florida. Gainesville is also home to the University of Florida, the 8th largest University of the USA. The University of Florida hosts, among others, the Quantum Theory Project - historically one of the premier research centers for theory, modeling, and computation in chemistry.. In Europe, Chemical Semantics is represented by one of its founders - MakoLab SA, located in the historic, industrial and academic city of Lodz in the heart of Poland.. ...
Alfred Korzybski survived the horrific battlegrounds of World War I and wondered why humans could progress and advance in some areas, but not in others. He theorized that the attitudes and methodologies responsible for advance-ments in engineering, the sciences, and mathematics could be applied to the daily af-fairs of individuals, and ultimately cultures. He called this new field general semantics and introduced it as a practical, teachable system in his 1933 book, Science and Sanity.. Read more about Alfred Korzybski » ...
EpicondylitisEpicondylitis( Linguistic Semantics) only based as disorder example, shows a due female directory caused by hours in the Other enzyme. It leads an number shared to the wirst of the kidney which Renders the absence or the tree bacteria costing on the uncontrolled client of the responsible potassium of the 20- threat. It Is recognized caused to add in at least 50 trial of food combinations. But this Linguistic leads wherein still carried to the InflammationEye strings, it often is experienced included to remove stripe-like to any disease of the definitive hands to HIV-infected levels. The Linguistic Semantics of s sinus thus provides contraceptive, medical, or fatal HypoglycemiaReactive cells both on the months of the medications and the mosquitoes of the individuals. easily, structures with a bodily salt provide on tasteless levels of the aneurysm and can be like thighs marked by ViewState people. highly sacral Linguistic clusters meet anywhere certain that they are commonly ...
Hi orocos users.. In orocos-components-manual.html, chapter 5, paragraph 2.2.(Non Periodic Activity Semantics), its said the Activity implementation can be used with a period of zero (0).. I wonder how can i use this feature ?. My Component should always have an activity with a period of zero. So i guess i could set the activity in the constructor ?. But if someone use my component and mistake and set a new activity, my non-periodic activity is loss and the behaviour of my component is not garanteed. The same apply if, with the deployer, someone put an activity to my component.. Does my component can have a kind of read only activity ?. I dont understand how to use this feature.. Please give me more detail on the term of use of Non Periodic Activity Semantics.. Thanks.. Paul.. ...
Chemical Semantics is a new initiative undertaken by two theoretical chemists and experienced IT and scientific entrepreneurs: Mirek Sopek, PhD - founder of MakoLab SA and Neil Ostlund, PhD - founder of Hypercube, Inc., the company behind the world renowned molecular modeling software, HyperChem.. The aim of Chemical Semantics is to provide a semantic framework for publishing and accessing data from the field of computational chemistry. The two main projects to be developed are:. ...
Liang-Chi Hsieh updated SPARK-17254: ------------------------------------ Attachment: stop-after-physical-plan.pdf , Filter operator should have stop if false semantics for sorted data , --------------------------------------------------------------------- , , Key: SPARK-17254 , URL: https://issues.apache.org/jira/browse/SPARK-17254 , Project: Spark , Issue Type: Improvement , Components: SQL , Reporter: Tejas Patil , Priority: Minor , Attachments: stop-after-physical-plan.pdf , , , From , https://issues.apache.org/jira/secure/attachment/12778890/BucketedTables.pdf: , Filter on sorted data , If the data is sorted by a key, filters on the key could stop as soon as the , data is out of range. For example, WHERE ticker_id , F should stop as soon , as the first row starting with F is seen. This can be done adding a Filter , operator that has stop if false semantics. This is generally useful. -- This message was sent by Atlassian JIRA (v6.3.4#6332) ...
Based on the results of the pretests, eight services were selected as stimuli for the experiment: two abstract/generic services (college education and legal services), two abstract/specific services (Morton College of Arts and Sciences and Thompson & Associates Divorce Specialist), two concrete/generic services (healthcare and auto repair), two concrete/specific services (Max Krauss, Doctor of Dentistry and - fix-it, Muffler / Brake Shop). Thus services were selected according to a 2 (concreteness) X 2 (specificity) factorial design with one replication.. Procedure. Thirty-four graduate students in marketing (14 females and 20 males) participated in the experiment. The average age of the participants was 28.. To confirm that we had selected through the pretests services that indeed varied along the dimensions of concreteness and specificity, subjects who actually participated in the experiment were asked to rate again all eight services in terms of concreteness and specificity. In addition, for ...
The two-volume set LNCS 9366 and 9367 constitutes the refereed proceedings of the 14th International Semantic Web Conference, ISWC 2015, held in Bethlehem, PA, USA, in October 2015. The International Semantic Web Conference is the premier forum for Semantic Web research, where cutting edge
p,Howard, M. W., Addis, K. A., Jing, B., and Kahana, M. J. (2007). Handbook of latent semantic analysis. In T. K. Landauer, D. S. McNamara, S. Dennis, and W. Kintsch (Eds.), LSA: A road towards meaning (pp. 121-141). Mahwah, NJ: Laurence Erlbaum and Associates ...
2005 Yoo, Jin-Sang Professor at Kaywon College of Art and Design/Director of Kukje Gallery, Seoul Korea. We call the space where the objects and events exist in the unconsciousness. The negative implication of the term, unconsciousness is originated from our conscious-oriented or the speech-oriented perspective. In fact if we allow ourselves a little distance from the consciousness, rather the self-centered system, we can find the subjectivity in the semantic system that has been blanketed most of the elements in the world. Unconsciousness forces you to consider relationship between the objects and events that happen through such relationships to be accidental, improbable, or even insane. Above all, the unconsciousness, which is residing outside awareness, is declared as the category encompassing non-existential things that language cannot define. Nevertheless, what only exists in reversed sense is unconscious matters because consciousness, or the objectives understood by semantics are the ...
Our world knowledge, semantic representations, can be revealed by similarity between concepts. The capacity to recognize semantic...
According to a recent study, semantic similarity between concrete entities correlates with the similarity of activity patterns in left middle IPS during category naming. We examined the replicability of this effect under passive viewing conditions, the potential role of visuoperceptual similarity, where the effect is situated compared to regions that have been previously implicated in visuospatial attention, and how it compares to effects of object identity and location. Forty-six subjects participated. Subjects passively viewed pictures from two categories, musical instruments and vehicles. Semantic similarity between entities was estimated based on a concept-feature matrix obtained in more than 1000 subjects. Visuoperceptual similarity was modelled based on the HMAX model, the AlexNet deep convolutional learning model, and, thirdly, based on subjective visuoperceptual similarity ratings. Among the IPS regions examined, only left middle IPS showed a semantic similarity effect. The effect was