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Title: Knowledge elicitation, semantics and inference
Author: Martin Pittock, A. G. T.
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 1993
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The elicitation of knowledge from experts for the purpose of building expert systems has been automated with varying degrees of sophistication. The extent of which a human being or a machine can comprehend verbalised expertise depends in part on knowledge of the basic or non-technical words of the language and the domain-independent inferences that it is possible to make from them concerning the technical words of the discourse. Lexical entailments have traditionally been characterised in terms of selectional restrictions. These tend to proscribe all metaphorical language from the most abstruse and poetic to the most ubiquitous and prosaic. A principled method of semantic inference and disambiguation is needed. The Introduction gives an account of the history of the research and its provenance. Chapter 1 surveys existing knowledge elicitation techniques and Chapters 2 and 3 give an account of philosophical and linguistic approaches to the problem of word meaning. Chapters 4 to 7 outline a principled method of lexical inference and disambiguation characterised by the Principles of Prediction and Coercion and Chapter 8 discusses semantic inference in general, from strong uncancellable logical entailments to weak connotative suggestion. Appendix 1 contains the Principles of Prediction and Coercion in a tabular form and Appendix 2 implements these Principles in a program.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available