<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">T. Mészáros</style></author><author><style face="normal" font="default" size="100%">Zs. Barczikai</style></author><author><style face="normal" font="default" size="100%">F. Bodon</style></author><author><style face="normal" font="default" size="100%">T.P. Dobrowiecki</style></author><author><style face="normal" font="default" size="100%">G. Strausz</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Building an Information and Knowledge Fusion System</style></title><secondary-title><style face="normal" font="default" size="100%">Engineering of Intelligent Systems</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Lecture Notes in Computer Science</style></tertiary-title></titles><dates><year><style  face="normal" font="default" size="100%">2001</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://dx.doi.org/10.1007/3-540-45517-5_10</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer Berlin / Heidelberg</style></publisher><pub-location><style face="normal" font="default" size="100%">Budapest, Hungary</style></pub-location><volume><style face="normal" font="default" size="100%">2070</style></volume><pages><style face="normal" font="default" size="100%">82–91</style></pages><isbn><style face="normal" font="default" size="100%">978-3-540-42219-8</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">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.</style></abstract></record></records></xml>