Project teaming: Knowledge-intensive design for composing team members

Yu Liang Chi, Chung Yang Chen

研究成果: 雜誌貢獻期刊論文同行評審

12 引文 斯高帕斯(Scopus)


Enterprises frequently use project teams to perform various tasks. In a human-centered, highly collaborative environment, the importance of teamwork exceeds that of individual skill. Appropriate team composition is crucial to the success of ad-hoc teamwork, yet optimizing team composition is challenging. This study utilizes knowledge-intensive approaches to build project teaming models into ontologies. Furthermore, it helps 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 ontologies. 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. Experimental lessons demonstrate that combining rules with ontological knowledge bases not only serves team composition needs, but also achieves knowledge base durability and system reliability.

頁(從 - 到)9479-9487
期刊Expert Systems with Applications
出版狀態已出版 - 7月 2009


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