DocumentCode
1956780
Title
Softer concepts mean smarter queries
Author
Martin, T.P.
Author_Institution
Artificial Intelligence Group, Univ. of Bristol, UK
fYear
2002
fDate
2002
Firstpage
152
Lastpage
157
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American
Print_ISBN
0-7803-7461-4
Type
conf
DOI
10.1109/NAFIPS.2002.1018046
Filename
1018046
Link To Document