Title :
Semantic Heterogeneity Issues on the Web
Author :
Gracia, Jorge ; Mena, Eduardo
Author_Institution :
Artificial Intell. Dept., Univ. Politec. de Madrid, Madrid, Spain
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;
Journal_Title :
Internet Computing, IEEE
DOI :
10.1109/MIC.2012.116