AUTOMATIC ONTOLOGY CONSTRUCTION FOR MANUFACTURING KNOWLEDGE AND INFORMATION MANAGEMENT
X. Hou, W. J. Liu, S. K. Ong, A. Y. C. Nee
2010
Abstract
Domain ontology is a natural approach for representing manufacturing domain knowledge. A large amount of manufacturing domain knowledge, entities and their properties is embodied in documents. Automatic construction of ontology from these documents is therefore essential for knowledge and information management. A graph-based approach to automate ontology construction for fixture design is presented. Each document in a collection is represented by a graph. The information contained in a term is estimated from both local and global perspectives. Methods are proposed to disambiguate terms with different meanings and group similar terms to produce concepts, and find arbitrary latent relations among them.
References
- Studer, R., Benjamins, V. R., Fensel, D., 1998. Knowledge Engineering: Principles and methods. Data & Knowledge Engineering, vol. 25, no. 1-2, pp. 161-197.
- Kjellberg, T., von Euler-Chelpin, A., Hedlind, M., Lundgren, M., Sivard, G., Chen, D., 2009. The machine tool model - A core part of the digital factory. Annals of CIRP, vol. 58, no. 1, pp. 425-428.
- Navigli, R., Velardi, P., Gangemi, A., 2003. Ontology learning and its application to automated terminology translation. Intelligent Systems, vol. 18, no. 1, pp. 22- 31.
- Weng, S. S., Tsai, H. J., Liu, S. C., Hsu, C. H., 2006. Ontology construction for information classification. Expert Systems with Applications, vol. 31, no. 1, pp. 1- 12.
- Toutanova, K., Manning, C. D., 2000. Enriching the knowledge sources used in a maximum entropy partof-speech tagger. In Proceedings of Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora, pp. 63-70.
- Chow, T. W. S., Zhang, H., Rahman, M. K. M., 2009. A new document representation using term frequency and vectorized graph connectionists with application to document retrieval. Expert Systems with Application, vol. 36, no. 1, pp. 12023-12035.
- Dongen, S. V., 2000. A Cluster Algorithm for graphs. Technical Report INS-R0010, National Research Institute for Mathematics and Computer Science in the Netherlands, Amsterdam.
- Yan, X. F., Han, J. W., 2002. gSpan: Graph-based substructure pattern mining. In Proceedings of International Conference on Data Mining, pp 721- 724.
Paper Citation
in Harvard Style
Hou X., Liu W., Ong S. and Nee A. (2010). AUTOMATIC ONTOLOGY CONSTRUCTION FOR MANUFACTURING KNOWLEDGE AND INFORMATION MANAGEMENT . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010) ISBN 978-989-8425-29-4, pages 331-334. DOI: 10.5220/0003053903310334
in Bibtex Style
@conference{keod10,
author={X. Hou and W. J. Liu and S. K. Ong and A. Y. C. Nee},
title={AUTOMATIC ONTOLOGY CONSTRUCTION FOR MANUFACTURING KNOWLEDGE AND INFORMATION MANAGEMENT},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)},
year={2010},
pages={331-334},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003053903310334},
isbn={978-989-8425-29-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)
TI - AUTOMATIC ONTOLOGY CONSTRUCTION FOR MANUFACTURING KNOWLEDGE AND INFORMATION MANAGEMENT
SN - 978-989-8425-29-4
AU - Hou X.
AU - Liu W.
AU - Ong S.
AU - Nee A.
PY - 2010
SP - 331
EP - 334
DO - 10.5220/0003053903310334