An Ontological Knowledge-base System for Composing Project Team Members

Yu-Liang Chi

2012

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.

References

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Paper Citation


in Harvard Style

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


in Bibtex Style

@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},
}


in EndNote Style

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