OntoSearch

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Reuse of knowledge bases and the semantic web are two promising areas in knowledge technologies. Given some user requirements, finding the suitable ontologies is an important task in both these areas. This paper discusses our work on OntoSearch, a kind of "ontology Google", which can help users find ontologies on the Internet. OntoSearch combines Google Web APIs with a hierarchy visualization technique. It allows the user to perform keyword searches on certain types of "ontology" files, and to visually inspect the files to check their relevance. OntoSearch system is based on Java, JSP, Jena and Moss technologies.

Original languageEnglish
Title of host publicationResearch and Development in Intelligent Systems XXI
Subtitle of host publicationProceedings of AI-2004, the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence
EditorsMax Bramer, Frans Coenen, Tony Allen
Place of PublicationLondon, England
PublisherSpringer-Verlag
Pages58-69
Number of pages12
Volume1a
ISBN (Electronic)9781846281020
ISBN (Print)9781852339074
DOIs
Publication statusPublished - 2005

Cite this

Zhang, Y., Vasconcelos, W. W. M. P. D., & Sleeman, D. (2005). OntoSearch. In M. Bramer, F. Coenen, & T. Allen (Eds.), Research and Development in Intelligent Systems XXI: Proceedings of AI-2004, the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence (Vol. 1a, pp. 58-69). Springer-Verlag. https://doi.org/10.1007/1-84628-102-4_5