Abstract
Many researchers in knowledge management point out that the first step toward knowledge management is the management of documents. However, the complexity imbedded in some documents could present great difficulty for most methodologies to deal with. The knowledge content for building an excellent quality management system that complies with ISO 9001 falls into this category; this knowledge is characterized by multi-dimensionality and knowledge embedment through various procedures and forms. We applied Ontology, which is a new approach in AI for better presenting knowledge structure of a domain, to develop a system structure that will facilitate the development of a knowledge-based ISO 9001 quality management system. We use the real case of a Taiwanese chemical company that has a total of 175 ISO manuals to refer to when needed. This system is built with Protégé 2000 as the knowledge platform, and we follow the development process recommended by Ontology Engineering of Toronto Virtual Enterprise. One main feature of the system is its capability of understanding the semantic of documents, which is a vital part of the inference mechanism in answering user's queries.
| Original language | English |
|---|---|
| Title of host publication | ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems |
| Editors | I. Seruca, J. Filipe, S. Hammoudi, J. Cordeiro |
| Pages | 262-268 |
| Number of pages | 7 |
| Publication status | Published - 2004 Nov 23 |
| Event | ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems - Porto, Portugal Duration: 2004 Apr 14 → 2004 Apr 17 |
Publication series
| Name | ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems |
|---|
Other
| Other | ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems |
|---|---|
| Country | Portugal |
| City | Porto |
| Period | 04-04-14 → 04-04-17 |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
Cite this
}
The development of a knowledge system for ISO 9001 quality management. / Shue, Li Yen; Li, Sheng-Tun; Hu, Hsun Cheng.
ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems. ed. / I. Seruca; J. Filipe; S. Hammoudi; J. Cordeiro. 2004. p. 262-268 (ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - The development of a knowledge system for ISO 9001 quality management
AU - Shue, Li Yen
AU - Li, Sheng-Tun
AU - Hu, Hsun Cheng
PY - 2004/11/23
Y1 - 2004/11/23
N2 - Many researchers in knowledge management point out that the first step toward knowledge management is the management of documents. However, the complexity imbedded in some documents could present great difficulty for most methodologies to deal with. The knowledge content for building an excellent quality management system that complies with ISO 9001 falls into this category; this knowledge is characterized by multi-dimensionality and knowledge embedment through various procedures and forms. We applied Ontology, which is a new approach in AI for better presenting knowledge structure of a domain, to develop a system structure that will facilitate the development of a knowledge-based ISO 9001 quality management system. We use the real case of a Taiwanese chemical company that has a total of 175 ISO manuals to refer to when needed. This system is built with Protégé 2000 as the knowledge platform, and we follow the development process recommended by Ontology Engineering of Toronto Virtual Enterprise. One main feature of the system is its capability of understanding the semantic of documents, which is a vital part of the inference mechanism in answering user's queries.
AB - Many researchers in knowledge management point out that the first step toward knowledge management is the management of documents. However, the complexity imbedded in some documents could present great difficulty for most methodologies to deal with. The knowledge content for building an excellent quality management system that complies with ISO 9001 falls into this category; this knowledge is characterized by multi-dimensionality and knowledge embedment through various procedures and forms. We applied Ontology, which is a new approach in AI for better presenting knowledge structure of a domain, to develop a system structure that will facilitate the development of a knowledge-based ISO 9001 quality management system. We use the real case of a Taiwanese chemical company that has a total of 175 ISO manuals to refer to when needed. This system is built with Protégé 2000 as the knowledge platform, and we follow the development process recommended by Ontology Engineering of Toronto Virtual Enterprise. One main feature of the system is its capability of understanding the semantic of documents, which is a vital part of the inference mechanism in answering user's queries.
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UR - http://www.scopus.com/inward/citedby.url?scp=8444241519&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:8444241519
SN - 9728865007
T3 - ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems
SP - 262
EP - 268
BT - ICEIS 2004 - Proceedings of the Sixth International Conference on Enterprise Information Systems
A2 - Seruca, I.
A2 - Filipe, J.
A2 - Hammoudi, S.
A2 - Cordeiro, J.
ER -