DocumentCode
1304237
Title
Semantic Heterogeneity Issues on the Web
Author
Gracia, Jorge ; Mena, Eduardo
Author_Institution
Artificial Intell. Dept., Univ. Politec. de Madrid, Madrid, Spain
Volume
16
Issue
5
fYear
2012
Firstpage
60
Lastpage
67
Abstract
To operate effectively, the Semantic Web must be able to make explicit the semantics of Web resources via ontologies, which software agents use to automatically process these resources. The Web´s natural semantic heterogeneity presents problems, however - namely, redundancy and ambiguity. The authors´ ontology matching, clustering, and disambiguation techniques aim to bridge the gap between syntax and semantics for Semantic Web construction. Their approach discovers and represents the intended meaning of words in Web applications in a nonredundant way, while considering the context in which those words appear.
Keywords
ontologies (artificial intelligence); pattern clustering; semantic Web; software agents; Semantic Web; Web applications; Web resources; ambiguity; clustering techniques; disambiguation techniques; natural semantic heterogeneity issue; ontologies; ontology matching; redundancy; software agents; Contect awareness; Information analysis; Ontologies; Semantic Web; Semantics; Semantic Web; disambiguation; ontology matching; semantic heterogeneity;
fLanguage
English
Journal_Title
Internet Computing, IEEE
Publisher
ieee
ISSN
1089-7801
Type
jour
DOI
10.1109/MIC.2012.116
Filename
6319296
Link To Document