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https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2003 . Peer-reviewed
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Semantic Processing of the Semantic Web

Authors: Kunal Patel; Gopal Gupta;

Semantic Processing of the Semantic Web

Abstract

We develop a semantics based approach to process information on the semantic web. We show how Horn logic can be used to denotationally capture the semantics of mark-up languages designed for describing resources on the semantic web (such as RDF). The same approach can also be used to specify the semantics of query languages for the semantic web. The semantics of both the resource description languages and the query languages are executable and when put together can be used to compute answers to semantic web queries. The main advantage of this semantic-based approach to processing the semantic web is that these executable semantics can be developed extremely quickly. Thus, as the semantic web mark-up languages evolve rapidly, their implementations can be developed at the same pace. In this paper, we present our approach based on denotational semantics and Horn logic. Our approach is quite general, and applicable to any description format (XML, RDF, DAML, etc.), though in this paper we illustrate it via RDF (Resource Description Framework).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Top 10%
Average
bronze