Characterisation of knowledge bases

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

Abstract

The process of determining the principal topic of a Knowledge base (KB), and whether it conforms to a set of user-defined constraints, are important steps in the reuse of Knowledge Bases. We refer to these steps as the process of characterization of a Knowledge Base. Identify-Knowledge-Base (IKB) is a tool, which suggests the principal topic(s) addressed by the Knowledge Base. It matches concepts extracted from a particular knowledge base against some reference taxonomy, where the taxonomy can be pre-stored or extracted from ontologies which are either stored on the local machine or are assessable through the WWW. The 'most specific' super-concept subsuming these concepts is said to be the principal topic of the knowledge base. Additionally, a series of filters, which check if a KB has particular characteristics have been implemented. This paper describes both the Identify-Knowledge Base system and these filters. Some empirical studies of IKB and the filters with a range of problems are also reported.

Original languageEnglish
Title of host publicationApplications and Innovations in Intelligent Systems XI
Subtitle of host publicationProceedings of Ai2003, the Twenty-Third Sgai International Conference on Innovative Techniques and Applications of Artificial Intelligence
EditorsMax Bramer, Richard Ellis, Ann Macintosh
PublisherSpringer-Verlag
Pages235-246
Number of pages12
ISBN (Print)9781852337797, 1852337796
Publication statusPublished - 2004

Publication series

NameBCS Conference Series
PublisherSpringer

Cite this

Sleeman, D., Zhang, Y., & Vasconcelos, W. W. M. P. D. (2004). Characterisation of knowledge bases. In M. Bramer, R. Ellis, & A. Macintosh (Eds.), Applications and Innovations in Intelligent Systems XI: Proceedings of Ai2003, the Twenty-Third Sgai International Conference on Innovative Techniques and Applications of Artificial Intelligence (pp. 235-246). (BCS Conference Series). Springer-Verlag.

Characterisation of knowledge bases. / Sleeman, Derek; Zhang, Yanren; Vasconcelos, Wamberto W M P D.

Applications and Innovations in Intelligent Systems XI: Proceedings of Ai2003, the Twenty-Third Sgai International Conference on Innovative Techniques and Applications of Artificial Intelligence. ed. / Max Bramer; Richard Ellis; Ann Macintosh. Springer-Verlag, 2004. p. 235-246 (BCS Conference Series).

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

Sleeman, D, Zhang, Y & Vasconcelos, WWMPD 2004, Characterisation of knowledge bases. in M Bramer, R Ellis & A Macintosh (eds), Applications and Innovations in Intelligent Systems XI: Proceedings of Ai2003, the Twenty-Third Sgai International Conference on Innovative Techniques and Applications of Artificial Intelligence. BCS Conference Series, Springer-Verlag, pp. 235-246.
Sleeman D, Zhang Y, Vasconcelos WWMPD. Characterisation of knowledge bases. In Bramer M, Ellis R, Macintosh A, editors, Applications and Innovations in Intelligent Systems XI: Proceedings of Ai2003, the Twenty-Third Sgai International Conference on Innovative Techniques and Applications of Artificial Intelligence. Springer-Verlag. 2004. p. 235-246. (BCS Conference Series).
Sleeman, Derek ; Zhang, Yanren ; Vasconcelos, Wamberto W M P D. / Characterisation of knowledge bases. Applications and Innovations in Intelligent Systems XI: Proceedings of Ai2003, the Twenty-Third Sgai International Conference on Innovative Techniques and Applications of Artificial Intelligence. editor / Max Bramer ; Richard Ellis ; Ann Macintosh. Springer-Verlag, 2004. pp. 235-246 (BCS Conference Series).
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