Characterisation of Knowledge Bases

Sleeman, Prof. Derek and Zhang, Mr. Yi and Vasconcelos, Dr. Wamberto (2003) Characterisation of Knowledge Bases. In Bramer, Max and Ellis, Richard and Macintosh, Ann L., Eds. Proceedings AI-2003, pages pp. 235-246, Cambridge, UK.

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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.

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