Title :
Softer concepts mean smarter queries
Author_Institution :
Artificial Intelligence Group, Univ. of Bristol, UK
Abstract :
The vision of a semantic Web incorporates many aspects which require flexible knowledge representation, learning and reasoning. These include: the mismatch between crisp hierarchical structures and the \´fuzzier" real world in which objects may have partial membership in classes; notions of approximate equality in data, and semantic equivalence of syntactically different structures; and robustness against inconsistent, missing, partial or incorrect data. In this paper we outline a system which uses concept hierarchies to focus queries. We concentrate on the need to avoid rigid definitions and allow uncertainty in the concept hierarchy, in order to combine diverse data sources.
Keywords :
inference mechanisms; information resources; information retrieval; knowledge representation; learning (artificial intelligence); uncertainty handling; approximate equality; concept hierarchies; crisp hierarchical structures; diverse data sources; inconsistent data; incorrect data; knowledge representation; learning; missing data; partial class membership; partial data; query focussing; reasoning; semantic Web; semantic equivalence; syntactically different structures; uncertainty; Artificial intelligence; Humans; Information retrieval; Knowledge representation; Learning; Resource description framework; Robustness; Search engines; Semantic Web; Uncertainty;
Conference_Titel :
Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American
Print_ISBN :
0-7803-7461-4
DOI :
10.1109/NAFIPS.2002.1018046