KNOWLEDGE REPRESENTATION WITH ATTRIBUTE GRAMMARS.

Papakonstantinou, G; Kontos, J

dc.contributor.author	Papakonstantinou, G	en
dc.contributor.author	Kontos, J	en
dc.date.accessioned	2014-03-01T01:06:37Z
dc.date.available	2014-03-01T01:06:37Z
dc.date.issued	1986	en
dc.identifier.issn	0010-4620	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/9509
dc.subject	Attribute Grammar	en
dc.subject	Knowledge Representation	en
dc.subject.classification	Computer Science, Hardware & Architecture	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.other	ARTIFICIAL INTELLIGENCE - Expert Systems	en
dc.subject.other	ATTRIBUTE GRAMMARS	en
dc.subject.other	PARSING MECHANISM	en
dc.subject.other	SEMANTIC NOTATION	en
dc.subject.other	AUTOMATA THEORY	en
dc.title	KNOWLEDGE REPRESENTATION WITH ATTRIBUTE GRAMMARS.	en
heal.type	journalArticle	en
heal.identifier.primary	10.1093/comjnl/29.3.241	en
heal.identifier.secondary	http://dx.doi.org/10.1093/comjnl/29.3.241	en
heal.language	English	en
heal.publicationDate	1986	en
heal.abstract	The use of attribute grammars for knowledge representation is examined in the present paper. It is shown how data knowledge and knowledge-base knowledge can be represented using syntactic and semantic notation. Control knowledge is represented by the parsing mechanism of the interpreter used. It is proposed that attribute grammar evaluators may prove to be useful knowledge engineering tools.	en
heal.publisher	CAMBRIDGE UNIV PRESS	en
heal.journalName	Computer Journal	en
dc.identifier.doi	10.1093/comjnl/29.3.241	en
dc.identifier.isi	ISI:A1986C970800007	en
dc.identifier.volume	29	en
dc.identifier.issue	3	en
dc.identifier.spage	241	en
dc.identifier.epage	245	en