Restructuring the keywords interface to enhance CAPE knowledge acquisition via an intelligent agent

Batzias, FA; Marcoulaki, EC

dc.contributor.author	Batzias, FA	en
dc.contributor.author	Marcoulaki, EC	en
dc.date.accessioned	2014-03-01T01:51:59Z
dc.date.available	2014-03-01T01:51:59Z
dc.date.issued	2002	en
dc.identifier.issn	15707946	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/26520
dc.title	Restructuring the keywords interface to enhance CAPE knowledge acquisition via an intelligent agent	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S1570-7946(02)80166-3	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S1570-7946(02)80166-3	en
heal.publicationDate	2002	en
heal.abstract	This work proposes an improved KeyWord Interface (KWI) to enhance the efficiency of information retrieval when using an advanced search engine, as an intelligent agent. This can be achieved by restructuring the KWI into a new hierarchical structure based on an {n domains} by {3 levels} arrangement of keywords (n×3 KWI), forming a loose/adaptive semantic network. The hierarchical levels used in the suggested implementation are set of species, logical category, and holistic entity. As an illustration, the method is applied to an example of literature survey concerning a well-documented process engineering field. The results of the proposed technology are compared with the outcome of general-purpose search-engines built in common academic publication databases. The comparison reveals the advantage of intelligent searching in creating a local base according to the orders/interests of the researcher. © 2002 Elsevier B.V. All rights reserved.	en
heal.journalName	Computer Aided Chemical Engineering	en
dc.identifier.doi	10.1016/S1570-7946(02)80166-3	en
dc.identifier.volume	10	en
dc.identifier.issue	C	en
dc.identifier.spage	829	en
dc.identifier.epage	834	en