Terminology-based knowledge acquisition.

Al-Jabir, Shaikha. (1999) Terminology-based knowledge acquisition. Doctoral thesis, University of Surrey (United Kingdom)..

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Abstract

A methodology for knowledge acquisition from terminology databases is presented. The methodology outlines how the content of a terminology database can be mapped onto a knowledge base with a minimum of human intervention. Typically, terms are defined and elaborated by terminologists by using sentences that have a common syntactic and semantic structure. It has been argued that in defining terms, terminologists use a local grammar and that this local grammar can be used to parse the definitions. The methodology has been implemented in a program called DEARSys (Definition Analysis and Representation System), that reads definition sentences and extracts new concepts and conceptual relations about the defined terms. The linguistic component of the system is a parser for the sublanguage of terminology definitions that analyses a definition into its logical form, which in turn is mapped onto a frame-based representation. The logical form is based on first-order logic (FOL) extended with untyped lambda calculus. Our approach is data-driven and domain independent; it has been applied to definitions of various domains. Experiments were conducted with human subjects to evaluate the information acquired by the system. The results of the preliminary evaluation were encouraging.

Item Type:	Thesis (Doctoral)
Divisions :	Theses
Authors :	Name Email ORCID Al-Jabir, Shaikha.
Date :	1999
Contributors :	Contribution Name Email ORCID http://www.loc.gov/loc.terms/relators/THS
Depositing User :	EPrints Services
Date Deposited :	09 Nov 2017 12:14
Last Modified :	15 Mar 2018 22:18
URI:	http://epubs.surrey.ac.uk/id/eprint/843300

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