Combining Structural and Instance-Based Ontology Similarities for Mapping Web Directories

Author

Todorov, Konstantin

Author_Institution

Inst. of Cognitive Sci., Univ. of Osnabruck, Osnabruck

fYear

2008

fDate

8-13 June 2008

Firstpage

596

Lastpage

601

Abstract

Ontologies are knowledge bodies describing the semantics of data and are broadly applied in supporting knowledge exchange between different parties. However, the adoption of the same ontology over a certain domain of interest by different people or organizations is unlikely, mainly due to the decentralized nature of ontology development. The paper presents a procedure for mapping hierarchical ontologies, populated with instances taken from properly classified text documents. It combines a structural and instance-based approaches in order to yield concept-to- concept mapping assertions between two input ontologies. It can be successfully applied to finding correspondences between the elements of two directories.

Keywords

Internet; ontologies (artificial intelligence); pattern classification; text analysis; Web directories mapping; concept-to- concept mapping assertions; data semantics; hierarchical ontologies mapping; instance-based ontology similarities; knowledge exchange; structural and -based ontology similarities; text document classification; Artificial intelligence; Books; Cognitive science; Humans; Machine learning; Ontologies; Semantic Web; Taxonomy; Terminology; Web and internet services; Hierarchies; Instance-based Mapping; Ontologies; Ontology Mapping; Structural Similarity; Web Directories;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet and Web Applications and Services, 2008. ICIW '08. Third International Conference on

Conference_Location

Athens

Print_ISBN

978-0-7695-3163-2

Electronic_ISBN

978-0-7695-3163-2

Type

conf

DOI

10.1109/ICIW.2008.37

Filename

4545678