Professor
Supervisor of Master's Candidates
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Indexed by:会议论文
Date of Publication:2005-08-27
Included Journals:EI
Volume:3614 LNAI
Page Number:176-185
Abstract:In this paper, we present a novel method to find the right expert who matches a certain project well. The idea behind this method includes building domain ontologies to describe projects and experts and calculating similarities between projects and domain experts for matching. The developed system consists of four main components: ontology building, document formalization, similarity calculation and user interface. First, we utilize Prote´ge´ to develop the predetermined domain ontologies in which some related concepts are defined. Then, documents concerning experts and projects are formalized by means of concept trees with weights. This process can be done either automatically or manually. Finally, a new method that integrates node-based and edge-based approach is proposed to measure the semantic similarities between projects and experts with the help of the domain ontologies. The experimental results show that the developed information matching system can reach the satisfied recall and precision. © Springer-Verlag Berlin Heidelberg 2005.