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Uncertainty and description logic programs: A proposal . . . (2004)
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| Venue: | FUZZY LOGIC AND THE SEMANTIC WEB, CAPTURING INTELLIGENCE, CHAPTER 7 |
| Citations: | 25 - 8 self |
BibTeX
@TECHREPORT{Straccia04uncertaintyand,
author = {Umberto Straccia},
title = {Uncertainty and description logic programs: A proposal . . . },
institution = {FUZZY LOGIC AND THE SEMANTIC WEB, CAPTURING INTELLIGENCE, CHAPTER 7},
year = {2004}
}
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Abstract
Rule-based and object-oriented techniques are rapidly making their way into the infrastructure for representing and reasoning about the Semantic Web and combining these two paradigms emerges as an important objective. We present a new family of representation languages, which extents existing language families for the Semantic Web: namely Description Logic Programs (DLPs) and DLPs with uncertainty (µDLPs). The former combine the expressive power of description logics (which capture the meaning of the most popular features of structured representation of knowledge) and disjunctive logic programs (powerful rule-based representation languages). The latter are DLPs in which the management of uncertainty is considered as well. We show that µDLPs may be applied in the context of distributed information search in the Semantic Web, where the representation of the inherent uncertainty of the relationships among resource ontologies, to which an automated agent has access to, is required.
Keyphrases
description logic program semantic web structured representation paradigm emerges language family disjunctive logic program representation language former combine resource ontology important objective new family object-oriented technique description logic popular feature inherent uncertainty distributed information search powerful rule-based representation language expressive power
