Knowledge Acquisition from Technical Texts using Attribute Grammars

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Abstract
The work reported in the present paper concerns the development of a computer system which can acquire an attribute grammar knowledge base from a technical text. The use of attribute grammars is explored both in the implementation of the system and in the target-knowledge representation of the text content. Knowledge-based encoding of the text knowledge content is accomplished and inferential exploitation of the resulting knowledge base is possible using the same attribute grammar interpreter as our knowledge engineering tool. The specific problems involved in using attribute grammars for representing both the knowledge content of a text and the knowledge required for extracting and formalising that content are studied, and some solutions are proposed. The techniques proposed can be applied to technical texts that deliver knowledge about the structure of objects and the functional relations of their parts. The prerequisite knowledge problem for text analysis is addressed and faced using attribute grammars. The kinds of prerequisite knowledge considered include subject-related background knowledge, linguistic knowledge and representation knowledge.

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