Project teaming: Knowledge-intensive design for composing team members

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题名:	Project teaming: Knowledge-intensive design for composing team members
作者:	Chi,YL;Chen,CY
贡献者:	資訊管理研究所
关键词:	SEMANTIC WEB;IMPLEMENTATION;PERFORMANCE;ONTOLOGY;WORK;RULE
日期:	2009
上传时间:	2010-06-29 20:37:50 (UTC+8)
出版者:	中央大學
摘要:	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. (C) 2008 Elsevier Ltd. All rights reserved.
關聯:	EXPERT SYSTEMS WITH APPLICATIONS
显示于类别:	[資訊管理研究所] 期刊論文

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