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.
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Podgorelec, V. (2012). Ontology and Rule Based Inferring on Project Teams. In: Cipolla-Ficarra, F., Veltman, K., Verber, D., Cipolla-Ficarra, M., Kammüller, F. (eds) Advances in New Technologies, Interactive Interfaces and Communicability. ADNTIIC 2011. Lecture Notes in Computer Science, vol 7547. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34010-9_5
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DOI: https://doi.org/10.1007/978-3-642-34010-9_5
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