Semantic Web Languages – Towards an Institutional Perspective

Lucanu, Dorel, Li, Yuan Fang and Dong, Jin Song (2006) Semantic Web Languages – Towards an Institutional Perspective. Lecture Notes in Computer Science, 4060 99-123. doi:10.1007/11780274

Author Lucanu, Dorel
Li, Yuan Fang
Dong, Jin Song
Title Semantic Web Languages – Towards an Institutional Perspective
Journal name Lecture Notes in Computer Science   Check publisher's open access policy
ISSN 0302-9743
ISBN 9783540354628
Publication date 2006-06-21
Sub-type Article (original research)
DOI 10.1007/11780274
Open Access Status
Volume 4060
Start page 99
End page 123
Total pages 25
Place of publication Berlin / Heidelberg
Publisher Springer
Language eng
Subject 170203 Knowledge Representation and Machine Learning
010103 Category Theory, K Theory, Homological Algebra
080505 Web Technologies (excl. Web Search)
Abstract Abstract. The Semantic Web (SW) is viewed as the next generation of the Web that enables intelligent software agents to process and aggregate data autonomously. Ontology languages provide basic vocabularies to semantically markup data on the SW.We have witnessed an increase of numbers of SWlanguages in the last years. These languages, such as RDF, RDF Schema (RDFS), the OWL suite of languages, the OWL− suite, SWRL, are based on different semantics, such as the RDFS-based, description logic-based, Datalog-based semantics. The relationship among the various semantics poses a challenge for the SW community for making the languages interoperable. Institutions provide a means of reasoning about software specifications regardless of the logical system. This makes it an ideal candidate to represent and reason about the various languages in the Semantic Web. In this paper, we construct institutions for the SW languages and use institution morphisms to relate them. We show that RDF framework together with the RDF serializations of SW languages form an indexed institution. This allows the use of Grothendieck institutions to combine Web ontologies described in various languages.
Q-Index Code CX

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 5 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 9 times in Scopus Article | Citations
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