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An Ontological Knowledge-base System for Composing Project Team Members

In teamwork-based projects, human play a critical role in achieving project success. This study utilizes ontological approaches to build project teaming models into ontology. It helps to develop a set of logic rules for identifying semantic relationships between individuals. By following a knowledge base creation process, the factual data of project, workers, and teaming factors can be inserted into ontological knowledge base. Based on knowledge inference, reliable knowledge bases are established for selecting project team members in runtime. A case study is presented to demonstrate the effectiveness of the proposed design.