Building an Information and Knowledge Fusion System

Authors:
Tamás Mészáros;Zsolt Barczikay;Ferenc Bodon;Tadeusz P. Dobrowiecki;György Strausz
Affiliations:
-;-;-;-;-
Venue:
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Year:
2001

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Abstract

In this paper authors present a system for information and knowledge fusion that provides an integrated management of information in a particular task domain. The proposed system uses structured (database and XML-based) and unstructured (information retrieval) data acquisition techniques, various knowledge representation schemes to integrate retrieved information, and customisable reports generated based on profiles supplied by the end user. This paper concentrates on modelling the problem domain, information and knowledge fusion methods, and technology fields used in the proposed system.