Semantic data. Medical search. Frequent questions

To fully realize the potential benefits of XBRL, we have to develop technologies to reconcile semantic heterogeneity and enable interoperability of various parts of the supply chain. (ssrn.com)
Data integration plays a crucial role in enabling effective knowledge sharing and interoperability across different systems and applications. (iswc07.org)
The Semantic Interoperability Work Group focuses on new and emerging technology trends converging with each other and leading to new business models and system designs. (opengroup.org)
Semantic interoperability is needed to enable integration of independently-developed solutions. (opengroup.org)
This is a crucial aspect of The Semantic Interoperability Work Group, which is part of The Open Group and open to all members. (opengroup.org)
Currently, semantic interoperability problems are solved on a bilateral basis, and typically require substantial human intervention. (opengroup.org)
The Semantic Interoperability Work Group's vision is that they are best solved on a multi-lateral basis, and with people taken out of the equation. (opengroup.org)
The use of this mapping guide will reduce inaccuracies, improve the harmonization of laboratory codes between healthcare systems, and strengthen semantic interoperability for laboratory reporting. (cdc.gov)
Continuing the journey toward semantic interoperability in clinical care and biomedical and health research. (bvsalud.org)

New article on semantic modelling of archaeological excavation data! (lu.se)

The introduced approach enables data integration, leading to vast opportunities for information exchange, analysis on combined datasets, simplicity to create mashups, and exploration of innovative ways to use these data creatively. (kit.edu)
As well as central government's National Information Infrastructure and Data.gov.uk , several local authorities have launched open initiatives, some creating dashboards sharing metrics generated from open datasets (look at the London Datastore , Open Glasgow , Leeds Data Mill , Bath:Hacked and Open Data Bristol , for example). (extranetevolution.com)
Large amounts of RDF data are now available either as stand-alone datasets or as metadata over semi-structured documents, typically XML. (inria.fr)
Our model is general enough to describe pure XML or RDF datasets, as well as RDF-annotated XML data, where any XML node can act as a resource. (inria.fr)
In the domain of Semantic Web conferences, data integration becomes particularly significant as it involves merging heterogeneous datasets from various sources to create a unified view that can be utilized for comprehensive analysis and decision-making. (iswc07.org)
The candidate is expected to develop new formalisms, tools and methods to manage and publish datasets as Linked Open Data. (lu.se)
The focus of the Semantic Computing Group will be on developing novel approaches for indexing RDF datasets according to linguistic principles as a basis to develop novel and advanced NLP services that support querying and accessing data that is published on the Web following Semantic Web standards. (lu.se)

Ontology-Based Data Access is a problem aiming at answering conjunctive queries over facts enriched by ontological information. (semantic-web-journal.net)
We address these problems and propose an overall approach, in which raw statistical data independently gathered from the different government institutions are formally and semantically represented, based on an ontology that we present in this paper. (kit.edu)
The transformation from Metadata4Ing ontology to the Semantic MediaWiki data structure is central to this approach, enabling a dynamic model that allows a formal, semantic representation of research steps, parameters and gathered data, while also providing flexibility in the generation of protocol templates and individual experiments through the reuse of semantic building blocks. (semantic-mediawiki.org)

Although typical solutions abstract from this heterogeneity with a layer of data services, the development of such systems remains tedious in this context. (easychair.org)

This keynote will describe a number of projects being undertaken at the University of Queensland eResearch Lab that are pushing Semantic Web technologies to their limit to help solve grand challenges in the environmental, cultural and medical domains. (videolectures.net)

We have released pretrained models for semantic foggy image segmentation, corresponding to our ECCV 2018 paper experiments. (ethz.ch)
We provide semantic segmentation annotations for a diverse test subset Foggy Zurich-test with 40 scenes containing dense fog, which serves as a first benchmark for the challenging domain of dense foggy weather. (ethz.ch)
We provide below the central trained models for semantic segmentation in dense fog corresponding to the experimental results of our ECCV 2018 paper , which follow the RefineNet architecture. (ethz.ch)
As a key step in this direction, we propose a novel deep semi-supervised semantic segmentation method that efficient- ly uses a small amount of manually annotated data by com- bining it with a large amount of readily available unannotated data in the learning process. (nr.no)
Extending semantic segmentation methods to adverse weather conditions like fog is crucially important for outdoor applications such as self-driving cars. (arxiv.org)

I'm sure there's more data since then, but I'm also pretty sure that the growth of ontologies and RDF Schemas has continued at a much faster pace than the growth of instance data. (w3.org)
Ontologies describe the meaning of the combined data, and mapping rules enable the declarative definition of the transformation and integration processes. (semantic-web-journal.net)
Lastly, the role of controlled vocabularies and ontologies in health data management is discussed and their impact on transparent knowledge extraction and analytics. (semantic-web-journal.net)
This article explores the concept of data integration within the context of the Semantic Web conference domain, with a specific focus on ontologies. (iswc07.org)
By employing data integration techniques based on ontologies, researchers can harmonize these dispersed resources into a consolidated knowledge graph. (iswc07.org)
In summary, this article delves into the significance of data integration within the Semantic Web conference domain by focusing on ontologies. (iswc07.org)
the natural protected areas as thematic data are fully or partly represented by the geometry elements on a base map, and the data are structured in RDF according to predefined ontologies. (lu.se)

That is, techniques to define the meaning of data within the context of its interrelationships with other data, as illustrated in the figure. (wikipedia.org)
I would argue that linked data is more of an ethos than a standard, focused on providing context, assisting in disambiguation, and increasing serendipity within the user experience. (oreilly.com)
Unfortunately, what isn't as obvious to many netizens, is the fact that each of the activities above results in the creation of data that is put into some context by you the user. (openlinksw.com)
In his excellent presentation he discribed how the scan-to-BIM process can be realised in a Semantic Web context and how Linked Data technologies allow to address problems from integrating heterogeneous data sources as well as allow to keep track of assumptions and uncertainties in the process. (w3.org)
We also propose a technical solution that incorporates schema matching and context mediation techniques to improve the efficiency of the production and consumption of XBRL data. (ssrn.com)
For any node in the knowledge graph, we have a 360 degree view of the data about the node and its context. (semanticarts.com)
This allows preserving the context of data generation (provenance) and makes the data machine-readable and interpretable. (semantic-mediawiki.org)

By repurposing Karma, a software utility originally created by USC for the scientific community, the Smithsonian American Art Museum has been able to prepare its 44,000 collection records and offer content formatted through SPARQL points as Linked Open Data for the semantic web. (mcn.edu)
Since the beginning of the Semantic Web, RDF and SPARQL have become the standard data model and query language to describe resources on the Web. (inria.fr)

Explore the practical application of "Generic Protocols" within Semantic MediaWiki to simplify and standardize research documentation in engineering sciences. (semantic-mediawiki.org)
To meet these requirements, we have designed a RDMS (Research Data Management System) that is deeply integrated with Semantic MediaWiki. (semantic-mediawiki.org)

Nowadays, with the increasing number of data sources, especially in environmental domain, earth observation programs face major challenges for environmental data exploitation, mainly due to data sources heterogeneity of different types such as access techniques, used protocols, languages, data formats, etc. (easychair.org)
Semantic heterogeneity exists in these taxonomies, the corresponding instances, and the internal systems that store the original data. (ssrn.com)

Best of all, while solving specific business challenges, building semantic data products lays the foundation for future enterprise metadata management initiatives such as a semantic data catalog . (topquadrant.com)
Metadata for metadata's sake can be useful, but the percentage of people who define metadata as 'data about data' and then have no data for their metadata to be about is frustratingly high. (w3.org)
Because different tools can contribute different results, and if you use a common language and idiom, they all can work with the same data and metadata. (w3.org)
The ability to apply RDF annotations over XML data emphasizes the need to represent and query data and metadata simultaneously. (inria.fr)

In this contribution, we discuss the current state and future directions of the field of semantic representation of archaeological excavation data and consider several issues that constrain the applicability of existing solutions. (lu.se)

Semantic search with knowledge graphs is the answer. (topquadrant.com)
Search for data via Google (of course! (openlinksw.com)
Sign-up for a free cluster at → https://mdb.link/free-1ZIYVNvRVsY ✅ Get help on our Community Forums → https://mdb.link/community-1ZIYVNvRVsY Welcome to this comprehensive guide on Vector Search, a revolutionary technique that allows you to search data based on meaning rather than just keywords. (mongodb.com)
Understand the machine learning models behind Vector Search and how they transform text, audio, images, or other types of data into high-dimensional vectors. (mongodb.com)
Benefits of Vector Search: Discover why semantic understanding, scalability, and flexibility make Vector Search a must-have feature for modern databases. (mongodb.com)
Archaeological data repositories usually manage excavation data collections as project-level entities with restricted capacities to facilitate search or aggregation of excavation data at the sub-collection level (trenches, finds, season reports or excavation diaries etc. (lu.se)

Cell phone call location data has been utilized for the study of travel patterns, but the underlying activities that originate the movement are still at a less explored stage. (intechopen.com)
This paper presents a survey of patterns and best practices to publish Multilingual Linked Data and identifies some issues that should be taken into account. (semantic-web-journal.net)
This paper describes several patterns for publishing multilingual linked data, and is generally well-written and would serve as a good introduction to people who are not familiar with linked data. (semantic-web-journal.net)
This paper presents a survey of patterns to publish Multilingual Linked Data (MLD) on the Web. (semantic-web-journal.net)
By integrating data, researchers can extract valuable insights, discover hidden patterns, and make informed decisions based on comprehensive information. (iswc07.org)
We identify five key enabling technologies or research areas (Conceptual models and semantic data structures, Conceptual modelling patterns, Data mapping workflows and tools, Learning technologies and Semantic queries) and assign readiness levels to assess their level of technological maturity. (lu.se)
Currently, because of gaps and ambiguities in the data, it is also difficult to apply computational methods and machine learning techniques to analyze, interpret, and recognize patterns in data that are high dimensional in nature, and also to relate variations in nanomaterial properties to variations in their chemical composition, synthesis, characterization protocols, and so on. (cdc.gov)

This report documents the presentations and discussions which took place on 15 June 2022 at the "Virtual Workshop on Semantic mapping of excavation data" on Zoom. (lu.se)

PEDAL, the Personal Data Access Language, defines a vocabulary for composing policies that describe characteristics of clients who are allowed or denied access to the personal information a policy governs. (w3.org)
The Semantic Web offers an opportunity for access control policies to fully describe their access policies instead of resorting to usernames and groups, which rely on some pre-agreed contractual understanding that one individual or organization corresponds to some local username. (w3.org)
We describe techniques to automatically infer a (partial) semantic model for information in tables using both table headings, if available, and the values stored in table cells and to export the data the table represents as linked data. (umbc.edu)
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data. (videolectures.net)
While this presents immense benefits for increasing transparency, the problem is that the data are frequently offered in heterogeneous formats, missing clear semantics that clarify what the data describe. (kit.edu)

In this paper, we propose an approach based on Model-Driven Engineering (MDE) combined with semantic annotations, to automate data service development on top of data sources. (easychair.org)
An RDF-based knowledge graph is the ideal, open-standards approach to bring multiple data assets together, and to share data between users, systems and applications. (topquadrant.com)
This provides a simple and efficient approach for analytics engineers and data scientists to manage large metrics stores, avoiding time-intensive, manual updates. (tmcnet.com)
This flexibility allows organizations to choose the best approach for their teams, bringing the broadest set of personas into the data modeling process, maximizing resource efficiency and accelerating analytics innovation. (tmcnet.com)
It would be very interesting if somebody else would try to solve the task above using a reasoned-based approach and we could then compare the number of authors and publications identified as well as the duration of the data integration process. (w3.org)
We further introduce the approach deployed in publishing these data in alignment with Linked Data principles, as well as present the methods implemented to query single or combined dataset and visualize the results in understandable ways. (kit.edu)
This study proposes and uses a new positioning approach for geospatial data - relative positioning approach than absolute positioning, the most traditional and intuitive way of locating geospatial data. (lu.se)
We developed a series of tools for realizing the approach, including a data creation tool, a data assembly server and a data visualization client. (lu.se)

While OpenGraph avoids, or outright ignores, many of the problematic issues surrounding semantic annotation (see Alex Iskold's excellent commentary on OpenGraph here on Radar ), criticism focusing only on its technical purity is missing half of the equation. (oreilly.com)
However, it is highly challenging for the echosounder data to obtain the class annotation for each backscattering intensity pixel because this relies on the manual annotation process, which is expensive and error-prone. (nr.no)
Structuring and semantically annotation of data and the documentation of its creation is essential to gain knowledge and fully leverage its potential. (semantic-mediawiki.org)

Our work contributes to the development of integrated service-based architectures driven by automatic service generation, data integration from existing environmental systems and automatic service annotations. (easychair.org)
What is Linked Data Integration? (hakia.com)
Linked Data Integration refers to the process of merging and combining data from various sources to create a unified and. (hakia.com)
The experimental results demonstrate the potential to annotate call locations based on the integration between machine learning algorithms and the characteristics of underlying activity and travel behaviour, contributing towards the semantic interpretation and application of the massive data. (intechopen.com)
Linked Data Integration Framework V0.1 released. (w3.org)
Re: ANN: LDIF - Linked Data Integration Framework V0.1 released. (w3.org)
The paper presents a knowledge-driven data ecosystem of health data for lung cancer, named DE4LungCancer, which enables the integration of heterogeneous biomedical data sources (e.g., clinical records, scientific publications, and pharmacologic data) and provides a knowledge graph that enables various data analytical methods. (semantic-web-journal.net)
To illustrate the importance of data integration in this realm, consider a hypothetical scenario where multiple research papers related to topics discussed in Semantic Web conferences are scattered across diverse repositories. (iswc07.org)
Through exploring real-world challenges faced in managing distributed research papers , the article emphasizes the need for data integration to overcome these challenges and create a unified view of research findings. (iswc07.org)
Data integration is a critical process in the field of Semantic Web, aiming to combine and unify diverse sets of data from various sources into a coherent and meaningful whole. (iswc07.org)
In summary, effective data integration plays an essential role in the Semantic Web domain. (iswc07.org)
The subsequent section will delve into the concept of "Semantic Web" and explore how it complements data integration efforts seamlessly. (iswc07.org)
Data integration plays a crucial role in the Semantic Web, enabling the seamless exchange and combination of information from different sources. (iswc07.org)
Microsoft has open sourced Semantic Kernel (SK), a lightweight SDK enabling the integration of large language models (LLMs) with conventional programs which can leverage prompt templating, vectorized memory, intelligent planning, and other capabilities. (infoq.com)
It supports automation of data integration, and enables better communication at all levels of the business. (opengroup.org)
The next steps involve consolidating relevant semantic structures, improving modelling implementation guidance, adhering to consistent workflows, developing engaging curricula, and documenting real-case examples to demonstrate the benefits and results of semantic data integration. (lu.se)
the final reason is that the emerging Semantic Web technologies provide a technical framework that could be utilised for the relative positioning and the integration of geospatial data on the web. (lu.se)

2001) of a distributed collaborative application suite called OpenLink Data Spaces (ODS). (openlinksw.com)
Interdisciplinary collaborative research among researchers from various sciences requires a robust framework to manage large amounts of data produced. (semantic-mediawiki.org)

Semantic Web technologies have immense potential to transform the Internet into a distributed reasoning machine that will not only execute extremely precise searches, but will also have the ability to analyze the data it finds to create new knowledge. (firstmonday.org)
This paper examines the state of Semantic Web (also known as Linked Data) tools and infrastructure, to determine whether semantic technologies are sufficiently mature for non-expert use, and to identify some of the obstacles to global Linked Data implementation. (firstmonday.org)
This brings us to the importance of understanding the Semantic Web and Linked Data concepts - transformative technologies designed. (hakia.com)
Through evaluation of the methods and assessment of the achievements associated with the OzTrack, eReef, Skeletome and Twentieth Century in Paint projects, I will highlight those Semantic Web technologies that have worked for us and our user communities, those that haven't and those that need improvement. (videolectures.net)
All rights are reserved, including those for text and data mining, AI training, and similar technologies. (ssrn.com)
I work on web technologies for managing data and am based in Dublin, Ireland. (cyganiak.de)
Semantic web' technologies potentially expand the richness of data made available to built asset decision-makers. (extranetevolution.com)
The Semantic Web is a vision, an idea, a base-set of technologies. (devx.com)
A great example of Semantic Web technologies at work is the calendar on the 2008 Semantic Technology Conference site. (devx.com)
which compliments the many aspects of Semantic Web technologies. (devx.com)

A semantic data model (SDM) is a high-level semantics-based database description and structuring formalism (database model) for databases. (wikipedia.org)
It is a conceptual data model that includes the capability to express and exchange information which enables parties to interpret meaning (semantics) from the instances, without the need to know the meta-model. (wikipedia.org)
We present a data model capturing the structural aspects of XML data and the semantics of RDF. (inria.fr)
XRQ not only allows querying the structure of documents and the semantics of their annotations, but also producing annotated semi-structured data on-the-fly. (inria.fr)
We'll use semantics to establish simple common terminology, show how a knowledge graph can provide 360 degree views, and explain how to classify data without writing code. (semanticarts.com)

Tim Berners-Lee describes the Semantic Web Tim Berners-Lee, James Hendler and Ora Lassila, 'The Semantic Web', Scientific American, May 2001, p. 29-37. (slideserve.com)

Echoing the Association for Geographical Information's recent Foresight report ( post ), Ordnance Survey's Paul Griffiths described geospatial data as the 'glue' connecting data about built assets to other data about the environment and about social aspects of the areas around those built assets . (extranetevolution.com)
in February 2015, OS launched OpenMap, a new digital map bringing open geospatial data to mobile and web platforms. (extranetevolution.com)

The ability to include meaning in semantic databases facilitates building distributed databases that enable applications to interpret the meaning from the content. (wikipedia.org)
Some linked data enthusiasts long for the day when all content is annotated so that it can be understood equally well by machines and humans. (oreilly.com)
Expand upon the building blocks of controlled vocabularies and create data products that enable content-centric workflows and lifecycle governance of sensitive information. (topquadrant.com)
The use of content-negotiation for language is very useful for HTML documents but seems questionable for a linked data site, where users are not expected to view the data directly (but likely use a HTML interface). (semantic-web-journal.net)
As such, the main argument for using any dereferencing seems to be saving network overhead, which seems weak and the costs could easily be offset even on mobile devices by specialized APIs, rather than bothering data providers with extra content-negotiation issues. (semantic-web-journal.net)
More granular access to excavation data collections would enable layered querying across their informational content. (lu.se)
These data are large in volume, diverse in content, and are beset with gaps and ambiguities in the description and characterization of nanomaterial s. (cdc.gov)

This means that the second kind of semantic data models enables that the instances express facts that include their own meanings. (wikipedia.org)
With support for both visual and code-based modeling, AtScale enables collaboration among analytics engineers, BI teams, and data scientists in the data modeling process. (tmcnet.com)
What enables such Web of Data? (slideserve.com)

In a green-field scenario, the model and the data are seamlessly linked in a knowledge graph and we can answer many different questions about our customers. (semanticarts.com)
This system connects seamlessly with the CKAN research data repository and an electronic lab notebook, providing a comprehensive suite for data management that maintains a consistent semantic structure. (semantic-mediawiki.org)

Finally, I will discuss what I believe will be the major outstanding research challenges facing Semantic Big Data in the next 5 years and those research areas with the greatest potential for impact. (videolectures.net)
The use of DBpedia as a use case seems apt, as DBpedia has already met many of the challenges of multilingual linked data covered in this paper. (semantic-web-journal.net)
Quality assessment of Semantic Web Assets (data, services and systems), in particular, presents new challenges that were not handled before in other research areas. (wikimedia.org)
These challenges are related to the openness of the Semantic Web, the diversity of the information and the unbounded, dynamic set of autonomous data sources, publishers and consumers (legal and software agents). (wikimedia.org)
Moreover, noise in one data set, or missing links between different data sets, propagates throughout the Web of Data, and imposes great challenges on the data value chain. (wikimedia.org)

Facts are typically expressed by binary relations between data elements, whereas higher order relations are expressed as collections of binary relations. (wikipedia.org)
Therefore, semantic data models typically standardize such relation types. (wikipedia.org)
The quality planning phase in the Semantic Web typically involves the design of procedures, strategies and policies to support the management of the assets. (wikimedia.org)
However, this customer data is typically scattered across hundreds of applications, its meaning is embedded in code written years ago, and much of its value is locked away in silos. (semanticarts.com)

In many similarities among them, these systems are highly comple- countries where public health infrastructure is rudimentary, mentary because they monitor different data types, rely deteriorating, or nonexistent, efforts to improve the abil- on varying levels of automation and human analysis, and ity to conduct electronic disease surveillance include more distribute distinct information. (cdc.gov)

A semantic data model in software engineering has various meanings: It is a conceptual data model in which semantic information is included. (wikipedia.org)
The logical data structure of a database management system (DBMS), whether hierarchical, network, or relational, cannot totally satisfy the requirements for a conceptual definition of data, because it is limited in scope and biased toward the implementation strategy employed by the DBMS. (wikipedia.org)
Therefore, the need to define data from a conceptual view has led to the development of semantic data modeling techniques. (wikipedia.org)
As part of the ARIADNEplus project, several CIDOC CRM developers and domain experts have collaborated to undertake conceptual mapping exercises, to address the practicalities of bringing excavation data descriptions together and to link these to our overall aspirations in terms of excavation data discoverability and reusability. (lu.se)

We also discuss the Hybrid Query Language which combines the Data and Information Retrieval techniques to provide a convenient and uniform way to retrieve data and documents from the Unified Web. (springer.com)
Mayfield, J., Finin, T.: Information retrieval on the semantic web: Integrating inference and retrieval. (springer.com)
however, this was more pronounced in posterior-dorsal parts of BA 45 for low-performing subjects and was only apparent in anterior-dorsal parts of BA 45 under high demands on controlled semantic retrieval. (jneurosci.org)

According to Klas and Schrefl (1995), the "overall goal of semantic data models is to capture more meaning of data by integrating relational concepts with more powerful abstraction concepts known from the Artificial Intelligence field. (wikipedia.org)
In each of these use cases, we are integrating multi-modal data streams across space, time, disciplines, formats and agencies to infer and expose new knowledge through rich multi-layered and interactive visualizations. (videolectures.net)
Integrating data from multiple sources increases the coverage and completeness of the resulting dataset. (iswc07.org)

This data federation allows us to write queries using the simple, standard semantic model and get results that include the existing data. (semanticarts.com)
These results support the hypothesis according to which semantic processing of living items is performed faster and more accurately than that of non-living items. (bvsalud.org)

PEDAL, the Personal Data Access Language, offers an access control vocabulary for protecting personal information using the expressive power and reasoning available in the Semantic Web framework. (w3.org)
These new capabilities tightly integrate with AtScale's existing no-code visual modeling framework and provide flexibility to build and manage data models and metric definitions within the semantic layer using code-based modeling frameworks. (tmcnet.com)
The Work Group is developing the Open Data Element Framework (O-DEF), an authoritative common classification framework for business information that provides a standard way of mapping data between systems. (opengroup.org)

A CRM-based model has been developed to store and retrieve the data in a semantically meaningful way. (mpg.de)
Our research demonstrates that while the existing models and domain-specific extensions are deemed adequate, there is a need for more user-friendly methods and tools to structure data in meaningful and interoperable ways. (lu.se)

Our solution, applied to the detection of natural disasters, provides 1) appropriate modelling of data sources and services to apply model-to-text (M2T) transformations, 2) automatic generation of Representational State Transfer (REST) data service code template, 3) automatic generation of semantically annotated Hypermedia-based descriptors of these services. (easychair.org)
As the ultimate knowledge graph creation and curation tool, TopBraid EDG has the power you need to create data hubs, data mesh or a data ecosystems semantically. (topquadrant.com)

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. (arxiv.org)

So far as BIM is concerned, the UK government's 2011 insistence on BIM processes generating "open shareable asset information" is often assumed simply to be about ensuring data is interoperable: capable of being shared between different applications, operating systems and IT hardware. (extranetevolution.com)
Each presentation was followed by a Q&A, while a discussion at the end of each session allowed participants to engage in conversation and contribute their experiences and ideas with a view to making excavation data FAIR (Findable, Accessible, Interoperable and Reusable). (lu.se)

As an argument to stress the importance of the Semantic Web and as example data to evaluate tools it would be nice to have a library of real world RDF-S/OWL instance data available. (w3.org)

Neither is it implicitly an access point to Data, Information, or Knowledge (the perception is purely determined through the experiences of the user agents interacting with the Data Space. (openlinksw.com)
this is achieved by embedding data into a knowledge graph that connects internal and external resources. (mpg.de)
Built on the concept of knowledge-driven ecosystems, we devise DE4LungCancer, a data ecosystem of health data sources for lung cancer. (semantic-web-journal.net)
When we load data into our knowledge graph, we link each item to its class and we relate the items to each other with object properties. (semanticarts.com)
To unlock existing customer data, we have to first understand its meaning and then we can link it into the knowledge graph by using the R2RML data mapping language. (semanticarts.com)
If our Contract Administration group wants a simple way to identify all the customers who have a contract, we can create a Class named ContractCustomer and populate it automatically from the data in our knowledge graph. (semanticarts.com)
In SK, embeddings are used to create a semantic memory , which mimics how the human brain stores and retrieves knowledge about the world based on the distance existing between concepts. (infoq.com)

Learn how government agencies can establish a Zero-Trust model while complying with open data requirements in this white paper. (topquadrant.com)
Her current research interests include Linked Data and the Semantic Web, Digital Libraries, Open Access, and Scholarly Communications. (firstmonday.org)
This page is a translated version of the page Open Semantic Data Association and the translation is 100% complete. (semantic-mediawiki.org)
As an open standard for electronic communication of business and financial data, XBRL has the potential of improving the efficiency of the business data supply chain. (ssrn.com)
Initiatives of making government data open are continuously gaining interest recently. (kit.edu)
but few BIM events look at how some BIM and other built environment data might be connected to other data or even made more widely available, perhaps as open data . (extranetevolution.com)
The government's open data push is being realised both centrally and locally, and is predicated on a belief in greater transparency, in 'Government as a Platform', giving tax-payers access to their data and other information derived from government investment in public services and assets . (extranetevolution.com)
and I have led conversations in the Chartered Institute of Public Relations about the need for communicators to be more data-literate, more aware of open data issues and opportunities. (extranetevolution.com)
Goal of the Sematic Web "The goal of the Semantic Web is to move from a Web of Documents to an open inter-connected Web of Data. (slideserve.com)
another important reason is the trend of open data in which the national base maps are becoming open. (lu.se)
The questionnaire contained data on socio-professional characterization and an open question. (bvsalud.org)

Our current LDIF in-memory implementation is not capable of doing this as 2 billion triples are too much data for it. (w3.org)
It's an implementation of the version number format specified by the Semantic Versioning 2.0.0 Specification . (pgxn.org)
During our talk, we will showcase how these semantic building blocks have been instrumental in the RDMS of CRC 1368, focusing on the practicalities of their implementation and use, and their impact on documentation efficiency. (semantic-mediawiki.org)

Then, using examples drawn from Thames Water projects undertaken using the 'Semantic BIM' platform provided by SaaS vendor GroupBC (formerly better known as Business Collaborator), Griffiths showed how data about existing building types and heights, flood risks, crime, employment and education could be used to augment existing decision-making tools ( "project design need no longer happen in splendid isolation" ). (extranetevolution.com)

This blog explores code-first data modeling in more detail. (tmcnet.com)
The AtScale semantic layer platform delivers a comprehensive data modeling solution that empowers organizations to achieve greater efficiency and productivity for their resource-constrained data teams. (tmcnet.com)

This playbook describes the business case for the data mesh and the semantic layer, as well as plays for getting started. (tdwi.org)

Analytics engineers and other code-first data modelers need the flexibility of a markup language and automation scripts to build and maintain the sophisticated data models underlying a robust semantic layer," said Dave Mariani, founder and CTO for AtScale. (tmcnet.com)

Such a semantic data model is an abstraction that defines how the stored symbols (the instance data) relate to the real world. (wikipedia.org)
It isn't inherently bound to a specific Data Model ( Concept Oriented , Relational , Hierarchical etc. (openlinksw.com)
This is the best-performing model in our ECCV 2018 experiments (see Tables 3 and 4 therein) and it has been adapted to fog in two adaptation steps, using both synthetic foggy data from our Foggy Cityscapes-DBF dataset and real foggy data from our Foggy Zurich dataset. (ethz.ch)
This model has been adapted to fog in one adaptation step, using only synthetic foggy data from our Foggy Cityscapes-DBF dataset. (ethz.ch)
The fully supervised approaches achieve good performance provided that high-quality training data and an appropriate choice for the prediction model are assured. (nr.no)
To provide access to the resources of the Institute, a data model for the digital assets of the Institute has been developed by the Institute's library. (mpg.de)

The second kind of semantic data models are usually meant to create semantic databases. (wikipedia.org)
If you are interested in trying out Microsoft Semantic Kernel, a good place to start is any of the sample apps that it includes as well as the official Getting Started notebook that will introduce you to the basic syntax to create semantic functions, embeddings, and so on. (infoq.com)

Future development should robust data collection methods and enhanced analysis ca- focus on linking these systems more closely to public health pability ( 6 , 7 ). (cdc.gov)

AtScale , the leading provider of semantic layer solutions for modern business intelligence and data science teams, today announced new capabilities within its semantic layer platform to support code-first data modelers including developers, analytics engineers, and data scientists. (tmcnet.com)
AtScale is a universal semantic layer platform built to support enterprise data teams in optimizing analytics experience and delivering self-service analytics to their users. (tmcnet.com)

Thus, adopting existing approaches for data quality assessment is not a straightforward solution. (wikimedia.org)
Our contributions are threefold, 1) we created a purely synthetic, high-quality foggy dataset of 25,000 unique outdoor scenes, that we call Foggy Synscapes and plan to release publicly 2) we show that with this data we outperform previous approaches on real-world foggy test data 3) we show that a combination of our data and previously used data can even further improve the performance on real-world foggy data. (arxiv.org)

Data Spaces on the Web that provide granular access to RDF Data. (openlinksw.com)

Please indicate in the cover letter that it is for the Special Issue on Quality Management of Semantic Web Assets (Data, Services and Systems). (wikimedia.org)
We have developed an XR platform on top of well-known data management systems for XML and RDF. (inria.fr)
In this respect, we present a technique to support RDFS-entailments in RDF (and by extension XR) data management systems. (inria.fr)
To improve public health surveillance and, ultimately, efforts have built on indicator-based public health surveil- interventions, we examined 3 primary systems that process lance, and monitoring of clinically relevant data sources event-based outbreak information: Global Public Health In- telligence Network, HealthMap, and EpiSPIDER. (cdc.gov)
All of these studies apply some augmentation of their data, however, there is a lack of evaluation of different methods and their impact on this crucial part of the AI systems. (lu.se)
As a specific objective the group intends to develop new tools for the generation and publication of grammars-as-a-service (GAAS) which can support the configuration, virtualization and deployment of Question Answering Systems over RDF data. (lu.se)

Although gathering, processing and publishing data is a step towards further adoption of Semantic Web, quality does not yet play a central role in these assets (e.g., data lifecycle, system/service development). (wikimedia.org)
Eventually, quality improvement methods are used to further enhance the value of the Semantic Web Assets. (wikimedia.org)

Foggy Cityscapes-DBF derives from the Cityscapes dataset and constitutes a collection of synthetic foggy images that automatically inherit the semantic annotations of their real, clear counterparts. (ethz.ch)
Foggy Cityscapes-DBF constitutes the successor of the Foggy Cityscapes dataset which was presented in our previous work and it contains synthetic foggy images with better adherence to semantic boundaries in the scene than the latter dataset. (ethz.ch)
So an idea with my Semantic Web Challenge hat on: Why not take the Billion Triples 2011 data set ( http://challenge.semanticweb.org/ ) which consists of 2 billion triples that have been recently crawled from the Web and try to find all data in the dataset about authors and their publications, map this data to a single target schema and merge all duplicates. (w3.org)
A standard method in deep learning to increase the variation of the training data is dataset augmentation. (lu.se)

In this paper, we propose a novel method, which uses purely synthetic data to improve the performance on unseen real-world foggy scenes captured in the streets of Zurich and its surroundings. (arxiv.org)

Moreover, DE4LungCancer is assessed in terms of the methods followed for data quality assessment and curation. (semantic-web-journal.net)
METHODS: Using data collected during 2010-2018 from base regions (population-based surveillance studies in western Kenya and the Kilifi Health and Demographic Surveillance Study), we estimated age-specific rates of acute respiratory illness (ARI), severe acute respiratory illness (SARI-defined as hospitalization with cough or difficulty breathing with onset within the past 10days), and SARI-associated deaths. (cdc.gov)

This work addresses the problem of semantic scene understanding under foggy road conditions. (arxiv.org)
Although marked progress has been made in semantic scene understanding over the recent years, it is mainly concentrated on clear weather outdoor scenes. (arxiv.org)

A number of jurisdictions have developed different XBRL taxonomies as their data standards. (ssrn.com)

AtScale can now "read" dbt Metric definitions directly from Git project files, establish the connections to dbt Models implemented on cloud data platforms, and serve dbt Metrics to AtScale-supported analytics tools including Excel, Power BI, Tableau, Qlik and Looker, as well as through Python and REST APIs. (tmcnet.com)

Interoperability9

Modelling of archaeological excavation data1

Datasets7

Ontology3

Abstract1

Pushing Semantic Web technologies1

Segmentation5

Ontologies7

Context7

SPARQL2

MediaWiki2

Heterogeneity2

Metadata4

Representation1

Search6

Patterns7

20221

Describe5

Approach8

Annotation3

Integration17

Collaborative2

Technologies10

Semantics5

20011

Geospatial data2

Content7

Enables3

Seamlessly2

Challenges5

Typically4

Infrastructure1

Conceptual4

Retrieval3

Integrating3

Results2

Framework3

Meaningful2

Semantically2

Openness1

Interoperable2

Importance1

Knowledge7

Open11

Implementation3

Examples1

Modeling2

Mesh1

Markup1

Model6

Create2

Robust1

Layer2

Approaches2

Granular access1

Systems6

Assets2

Dataset4

Propose a novel1

Methods2

Understanding2

Taxonomies1

Connections1