Building a Pragmatic Semantic Web
TLDR
A practical approach to adopting semantic Web technologies enables large organizations to share data while achieving clear private as well as public reuse benefits.Abstract:
Many real-world tasks require the acquisition and integration of information from a distributed set of heterogeneous sources. Hence, there's no shortage of opportunities for applications using Semantic Web (SW) technologies. The power of publishing and linking data in a way that machines can automatically interpret through ontologies is beginning to materialize. However, market penetration level is relatively low, and it's still no routine matter for an enterprise, organization, governmental agency, or business with large distributed databases to add them to the Web of linked and semantically enriched data. In part, they may suspect that they're expected to pioneer an approach in which quick wins are few. Moreover, cost and privacy issues arise when ever-increasing amounts of information are linked into the Web. A practical approach to adopting semantic Web technologies enables large organizations to share data while achieving clear private as well as public reuse benefits.read more
Citations
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Knowledge Practices, Epistemic Technologies, and Pragmatic Web.
TL;DR: It is argued that, beyond knowledge acquisition and social participation, technology-mediated learning environments based on a semantic and pragmatic web have the potential for facilitating creation and advancement of knowledge.
Proceedings Article
Semantic Interoperability for e-Business in the ISP Service Domain.
Jane Hall,Stefanos Koukoulas +1 more
TL;DR: The work being undertaken in the European IST project VISP (IST-FP6-027178) to meet the requirement for cooperating enterprises to have a precise understanding of the information that they exchange with each other is described.
Book ChapterDOI
Enhancing the Quality of Open Data
TL;DR: It is argued that opening data to scrutiny can improve quality by building feedback into the data production process, although much depends on the context of publication.
Proceedings ArticleDOI
Augmenting Lightweight Domain Ontologies with Social Evidence Sources
TL;DR: This paper presents an approach to augment corpus-based ontology learning by considering terms from collaborative tagging systems, social networking platforms, and micro-blogging services, and the proposed framework collects information on the domain's terminology from domain documents and a seed ontology in a triple store.
Dissertation
Applying Wikipedia to Interactive Information Retrieval
TL;DR: Wikipedia can be applied effectively to open-domain information retrieval with minimal natural language processing or information extraction, and a large thesaurus-like structure can be obtained directly from Wikipedia, and accurate measures of semantic relatedness can be efficiently mined from it.
References
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Journal ArticleDOI
The Semantic Web Revisited
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How to Publish Linked Data on the Web - Proposal for a Half-day Tutorial at ISWC2008
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Book
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Journal ArticleDOI
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TL;DR: In this paper, the authors argue that the Web has been transformational and we need to understand it, we need anticipate future developments and identify opportunities and threats, and that we need a new discipline: Web Science.