Model of collaborating agents for content-based electronic document filtering

Papaspyrou, NS; Sgouropoulou, CE; Skordalakis, ES

dc.contributor.author	Papaspyrou, NS	en
dc.contributor.author	Sgouropoulou, CE	en
dc.contributor.author	Skordalakis, ES	en
dc.date.accessioned	2014-03-01T01:14:19Z
dc.date.available	2014-03-01T01:14:19Z
dc.date.issued	1999	en
dc.identifier.issn	0921-0296	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/12996
dc.subject	electronic documents	en
dc.subject	multimedia	en
dc.subject	content-based filtering	en
dc.subject	office automation	en
dc.subject	multi-agent model	en
dc.subject	intelligent software agents	en
dc.subject.classification	Computer Science, Artificial Intelligence	en
dc.subject.classification	Robotics	en
dc.subject.other	Artificial intelligence	en
dc.subject.other	Client server computer systems	en
dc.subject.other	Computer architecture	en
dc.subject.other	Data reduction	en
dc.subject.other	Internet	en
dc.subject.other	Intranets	en
dc.subject.other	Knowledge based systems	en
dc.subject.other	Content-based electronic document filtering	en
dc.subject.other	Multimedia systems	en
dc.title	Model of collaborating agents for content-based electronic document filtering	en
heal.type	journalArticle	en
heal.identifier.primary	10.1023/A:1008155903288	en
heal.identifier.secondary	http://dx.doi.org/10.1023/A:1008155903288	en
heal.language	English	en
heal.publicationDate	1999	en
heal.abstract	The huge volume of distributed information that is nowadays available in electronic multimedia documents forces a lot of people to consume a significant percentage of their time looking for documents that contain information useful to them. The filtering of electronic documents seems hard to automate, partly because of document heterogeneity, but mainly because it is difficult to train computers to have an understanding of the contents of these documents and make decisions based on user-subjective criteria. In this paper, we suggest a model for the automation of content-based electronic document filtering, supporting multimedia documents in a wide variety of forms. The model is based on multi-agent technology and utilizes an adaptive knowledge base organized as a set of logical rules. Implementations of the model using the client-server architecture should be able to efficiently access documents distributed over an intranet or the Internet.	en
heal.publisher	Kluwer Academic Publishers, Dordrecht, Netherlands	en
heal.journalName	Journal of Intelligent and Robotic Systems: Theory and Applications	en
dc.identifier.doi	10.1023/A:1008155903288	en
dc.identifier.isi	ISI:000083282800008	en
dc.identifier.volume	26	en
dc.identifier.issue	2	en
dc.identifier.spage	199	en
dc.identifier.epage	213	en