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An Ontology-Based Method for Project and Domain Expert Matching

  • Jiangning Wu
  • Guangfei Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3614)

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 Protégé 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.

Keywords

Semantic Similarity Domain Expert Document Formalization Domain Ontology Concept Tree 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jiangning Wu
    • 1
  • Guangfei Yang
    • 1
  1. 1.Institute of Systems EngineeringDalian University of TechnologyDalianChina

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