Paper Info
Title
Representing fuzzy ontologies in OWL 2
Abstract
The need to deal with vague information in Semantic Web languages is rising in importance and, thus, calls for a standard way to represent such information. We may address this issue by either extending current Semantic Web languages to cope with vagueness, or by providing a procedure to represent such information within current Semantic Web languages. In this work, we follow the latter approach, by identifying the syntactic differences that a fuzzy ontology language has to cope with, and by proposing a concrete methodology to represent fuzzy ontologies using OWL 2 annotation properties.
Year
DOI
Venue
2010
10.1109/FUZZY.2010.5584661
Fuzzy Systems
Keywords
Field
DocType
fuzzy set theory,knowledge representation languages,ontologies (artificial intelligence),semantic Web,OWL 2 annotation property,fuzzy ontology language representation,semantic Web languages
Ontology (information science),Semantic Web Stack,Information retrieval,Computer science,Semantic Web,OWL-S,Artificial intelligence,Natural language processing,Social Semantic Web,Semantic Web Rule Language,Semantics,Web Ontology Language
Conference
ISSN
ISBN
Citations 
1098-7584
978-1-4244-6919-2
17
PageRank 
References 
Authors
1.04
13
2
Name
Order
Citations
PageRank
Fernando Bobillo174242.86
Umberto Straccia22731251.15