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Author: Yu-Liang Chi

Affiliation: Chung Yuan Christian University, Taiwan

ISBN: 978-989-8565-10-5

Keyword(s): Team Member Composition, Knowledge-based System, Ontology, Semantic Rules.

Related Ontology Subjects/Areas/Topics: Applications of Expert Systems ; Artificial Intelligence and Decision Support Systems ; Enterprise Information Systems ; Industrial Applications of Artificial Intelligence

Abstract: 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.

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Paper citation in several formats:
Chi, Y. (2012). An Ontological Knowledge-base System for Composing Project Team Members.In Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8565-10-5, pages 297-300. DOI: 10.5220/0003950602970300

@conference{iceis12,
author={Yu{-}Liang Chi.},
title={An Ontological Knowledge-base System for Composing Project Team Members},
booktitle={Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2012},
pages={297-300},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003950602970300},
isbn={978-989-8565-10-5},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - An Ontological Knowledge-base System for Composing Project Team Members
SN - 978-989-8565-10-5
AU - Chi, Y.
PY - 2012
SP - 297
EP - 300
DO - 10.5220/0003950602970300

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