UMBC ebiquity

Using Explicit Information To Map Between Two Ontologies

Authors: Sushama Prasad, Yun Peng, and Tim Finin

Book Title: AAMAS 2002 Workshop on Ontologies and Agent Systems

Date: July 07, 2002

Abstract: Understanding the meaning of messages exchanged between software agents has long been recognized as one of the key problems in realizing multi-agent systems. Forcing all agents to use a common vocabulary defined in a shared ontology is an oversimplified solution, especially when these agents are designed and deployed independently of each other. An alternative, and more realistic, solution would be to provide mapping services between different ontologies. In this paper we present our work along this direction. This work combines the recently emerging semantic markup language DAML+OIL (for ontology specification), information retrieval techniques (for similarity information collection), and Bayesian reasoning (for similarity synthesis and final mapping selection) to provide an ontology mapping between two classification hierachies.

Type: InProceedings

Address: Bologna, Italy

Publisher: CEUR Workshop Proceedings

Volume: 66

Tags: semantic web, ontology, ontology mapping

Google Scholar: f-op6vUS21AJ

Number of Google Scholar citations: 19 [show citations]

Number of downloads: 2604


Available for download as

size: 552309 bytes

Related Projects:

Past Project

 UMBC OntoMapper: A Tool For Mapping Between Two Ontologies.