A model of collaborating agents for content-based electronic document filtering

dc.contributor.author	Παπασπύρου, Νικόλαος Σ.	el
dc.contributor.author	Σγουροπούλου, Κλειώ Ε.	el
dc.contributor.author	Σκορδαλάκης, Εμμανουήλ Σ.	el
dc.date.accessioned	2015-05-14T17:22:25Z
dc.date.available	2015-05-14T17:22:25Z
dc.date.issued	2015-05-14
dc.identifier.uri	http://hdl.handle.net/11400/10406
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://link.springer.com/	en
dc.subject	Electronic documents
dc.subject	Multimedia
dc.subject	Office automation
dc.subject	Multi-agent model
dc.subject	Intelligent software agents
dc.subject	Computer Science
dc.subject	Content-based filtering
dc.subject	Ηλεκτρονικά έγγραφα
dc.subject	Πολυμέσα
dc.subject	Φιλτράρισμα με βάση το περιεχόμενο
dc.subject	Αυτοματισμός γραφείου
dc.subject	Μοντέλο multi-agent
dc.subject	Ευφυείς πράκτορες λογισμικού
dc.subject	Πληροφορική
dc.title	A model of collaborating agents for content-based electronic document filtering	en
heal.type	journalArticle
heal.classification	Science
heal.classification	Mathematics
heal.classification	Επιστήμες
heal.classification	Μαθηματικά
heal.classificationURI	http://zbw.eu/stw/descriptor/15685-2
heal.classificationURI	http://zbw.eu/stw/thsys/70269
heal.classificationURI	N/A-Επιστήμες
heal.classificationURI	N/A-Μαθηματικά
heal.keywordURI	http://zbw.eu/stw/thsys/73339
heal.identifier.secondary	DOI 10.1023/A:1008155903288
heal.language	en
heal.access	campus
heal.publicationDate	1999
heal.bibliographicCitation	PAPASPYROU, N.S., SGOUROPOULOU, C.E. & SKORDALAKIS, E.S. (1999). A model of collaborating agents for content-based electronic document filtering. Journal of Intelligent and Robotic Systems. [Online] 26 (2). p.199-213. Available from: http://link.springer.com/	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	Springer Verlag - Kluwer Academic Publishers	en
heal.journalName	Journal of Intelligent and Robotic Systems	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true