Open AccessManaging Uncertainty and Vagueness in Description Logics, Logic Programs and Description Logic Programs
Author(s) -
Umberto Straccia
Publication year - 2008
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/978-3-540-85658-0_2
Subject(s) - vagueness , computer science , description logic , semantic web , ontology language , knowledge representation and reasoning , ontology , natural language processing , semantic web rule language , fuzzy logic , web ontology language , t norm fuzzy logics , representation (politics) , artificial intelligence , programming language , fuzzy set , social semantic web , epistemology , semantic analytics , fuzzy number , philosophy , politics , political science , law
Managing uncertainty and/or vagueness is starting to play an important role in Semantic Web representation languages. Our aim is to overview basic concepts on representing uncertain and vague knowledge in current Semantic Web ontology and rule languages (and their combination).
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