2 Search Results for "Vembu, Shankar"

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DOI: 10.4230/TGDK.2.1.3
Semantic Web: Past, Present, and Future

Authors: Ansgar Scherp, Gerd Groener, Petr Škoda, Katja Hose, and Maria-Esther Vidal

Published in: TGDK, Volume 2, Issue 1 (2024): Special Issue on Trends in Graph Data and Knowledge - Part 2. Transactions on Graph Data and Knowledge, Volume 2, Issue 1

Abstract
Ever since the vision was formulated, the Semantic Web has inspired many generations of innovations. Semantic technologies have been used to share vast amounts of information on the Web, enhance them with semantics to give them meaning, and enable inference and reasoning on them. Throughout the years, semantic technologies, and in particular knowledge graphs, have been used in search engines, data integration, enterprise settings, and machine learning. In this paper, we recap the classical concepts and foundations of the Semantic Web as well as modern and recent concepts and applications, building upon these foundations. The classical topics we cover include knowledge representation, creating and validating knowledge on the Web, reasoning and linking, and distributed querying. We enhance this classical view of the so-called "Semantic Web Layer Cake" with an update of recent concepts that include provenance, security and trust, as well as a discussion of practical impacts from industry-led contributions. We conclude with an outlook on the future directions of the Semantic Web. This is a living document. If you like to contribute, please contact the first author and visit: https://github.com/ascherp/semantic-web-primer
Cite as

Ansgar Scherp, Gerd Groener, Petr Škoda, Katja Hose, and Maria-Esther Vidal. Semantic Web: Past, Present, and Future. In Special Issue on Trends in Graph Data and Knowledge - Part 2. Transactions on Graph Data and Knowledge (TGDK), Volume 2, Issue 1, pp. 3:1-3:37, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{scherp_et_al:TGDK.2.1.3,
  author =	{Scherp, Ansgar and Groener, Gerd and \v{S}koda, Petr and Hose, Katja and Vidal, Maria-Esther},
  title =	{{Semantic Web: Past, Present, and Future}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{3:1--3:37},
  ISSN =	{2942-7517},
  year =	{2024},
  volume =	{2},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.2.1.3},
  URN =		{urn:nbn:de:0030-drops-198607},
  doi =		{10.4230/TGDK.2.1.3},
  annote =	{Keywords: Linked Open Data, Semantic Web Graphs, Knowledge Graphs}
}
Document
DOI: 10.4230/DagSemProc.06171.5
Are we Ready to Embrace the Semantic Web?

Authors: Shankar Vembu and Stephan Baumann

Published in: Dagstuhl Seminar Proceedings, Volume 6171, Content-Based Retrieval (2006)

Abstract
The aim of the semantic web is to describe resources available on the web using metadata elements that can be processed or interpreted by machines. MPEG-7 is the result of a standardisation effort to annotate multimedia documents, and it offers a rich suite of metadata descriptors for describing these documents at various levels of abstraction from low-level features to high-level semantics. Owing to the proliferation of multimedia content in the internet, there is now a lot of interest in the semantic web community in multimedia metadata standards in general, and MPEG-7 in particular. Despite the fact that the semantic web initiatives could benefit a lot from MPEG-7 for the annotation of multimedia documents, recent studies have underlined the limitations of MPEG-7 in describing the semantics of highly structured domains like sports or medicine. This has led to an upsurge of interest in adopting an integrated approach to the design of multimedia ontologies. In our work, we describe a systematic approach to the design of multimedia ontologies in which we use MPEG-7 to model only the structural and the low-level aspects of multimedia documents. High-level semantics are described using domain-specific vocabularies. A retrieval engine based on this framework will then be able to process high-level text-based semantic queries. Whilst a lot of research has been done in the design of multimedia ontologies, a plaguing issue is the automatic annotation of multimedia content at a semantic level. It is possible to derive low-level descriptors using state-of-the-art techniques in multimedia content analysis, but the same does not hold true when it comes to analysing multimedia content at a high level of abstraction. We discuss various approaches that have been recently proposed to accomplish this task. An interesting line of discussion is the automatic population and enrichment of multimedia ontologies that offers a lot of challenges and stresses the need for efficient approaches for the semantic analysis of multimedia documents.
Cite as

Shankar Vembu and Stephan Baumann. Are we Ready to Embrace the Semantic Web?. In Content-Based Retrieval. Dagstuhl Seminar Proceedings, Volume 6171, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)

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@InProceedings{vembu_et_al:DagSemProc.06171.5,
  author =	{Vembu, Shankar and Baumann, Stephan},
  title =	{{Are we Ready to Embrace the Semantic Web?}},
  booktitle =	{Content-Based Retrieval},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{6171},
  editor =	{Tim Crawford and Remco C. Veltkamp},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.06171.5},
  URN =		{urn:nbn:de:0030-drops-6559},
  doi =		{10.4230/DagSemProc.06171.5},
  annote =	{Keywords: Semantic analysis, Multimedia ontologies, Semantic web}
}
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