Ontology and rule based inferring on project teams

Authors:
Vili Podgorelec
Affiliations:
FERI, Institute of Informatics, University of Maribor, Maribor, Slovenia
Venue:
ADNTIIC'11 Proceedings of the Second international conference on Advances in New Technologies, Interactive Interfaces and Communicability
Year:
2011

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Abstract

A task of automatic identification of potential project team members based on project requirements and personal competence profiles is a complex one. It requires a good knowledge base together with an adequate knowledge processing engine, capable of inferring on the knowledge available. In this paper, we study and present an approach to implement a knowledge management system with the use of semantic web technologies in combination with a declarative production rule-based system. We used ontologies to represent the needed knowledge and rule-based expert system to infer on the knowledge and to provide the requested results. In this manner we developed a prototype system that should assist in project team building activities.