Title :
Sharing ontology schema information for Web service integration
Author :
Huang, Jingshan ; Gutiérrez, Rosa Laura Zavala ; García, Benito Mendoza ; Huhns, Michael N.
Author_Institution :
Dept. of Comput. Sci. & Eng., South Carolina Univ., Columbia, SC, USA
Abstract :
In spite of many standards efforts, Web services with similar or compatible functionalities often have heterogeneous semantics. One reason is the disparate ontologies used for service descriptions. In order to compare and compose Web services, the ability to merge different ontologies is essential. This paper describes an approach to align numerous, independently designed ontologies. Our approach is a completely automated one, without the need for prior agreement on semantics. It incorporates WordNet and heuristic reasoning and infers new knowledge by self-learning. Our system provides a solid base for the seamless integration of Web services.
Keywords :
inference mechanisms; learning (artificial intelligence); ontologies (artificial intelligence); semantic Web; Web service integration; WordNet; heterogeneous semantics; heuristic reasoning; knowledge inference; ontology schema information sharing; self-learning; Automation; Communication standards; Computer science; Ontologies; Performance analysis; Simple object access protocol; Software standards; Solids; Terminology; Web services;
Conference_Titel :
Computer and Information Technology, 2005. CIT 2005. The Fifth International Conference on
Print_ISBN :
0-7695-2432-X
DOI :
10.1109/CIT.2005.168