ICCCI 2010: Computational Collective Intelligence. Technologies and Applications pp 413-420 | Cite as
Development of an Engineering Knowledge Extraction Framework
Abstract
In this paper, an engineering knowledge extraction framework was developed based on the ontology technologies. The engineering knowledge could be extracted from unstructured engineering documents. The ontology models of the target engineering knowledge are constructed by domain experts or automatic constructed with formal concept analysis in the first stage. The engineering document is then processed to mark the relevant semantic annotations with natural language process tool and domain dictionary. These annotations will be used to populate the ontology models with the concepts and properties in the ontology models. The populated ontology models can be then used for reasoning or other tasks requiring engineering knowledge.
Keywords
Engineering Knowledge Knowledge Extraction Natural Language Processing OntologyPreview
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References
- 1.McMahon, C., Lowe, A., Culley, S.: Knowledge Management in Engineering Design: Personalization and Codification. Journal of Engineering Design 15(4), 307–325 (2004)CrossRefGoogle Scholar
- 2.Sun, W., Ma, Q.-Y., Gao, T.-Y.: An ontology-based manufacturing design system. Information Technology Journal 8(5), 643–656 (2009)CrossRefGoogle Scholar
- 3.May, P., Ehrlich, H.C., Steinke, T.: ZIB Structure Prediction Pipeline: Composing a Complex Biological Workflow through Web Services. In: Nagel, W.E., Walter, W.V., Lehner, W. (eds.) Euro-Par 2006. LNCS, vol. 4128, pp. 1148–1158. Springer, Heidelberg (2006)CrossRefGoogle Scholar
- 4.Foster, I., Kesselman, C.: The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, San Francisco (1999)Google Scholar
- 5.Czajkowski, K., Fitzgerald, S., Foster, I., Kesselman, C.: Grid Information Services for Distributed Resource Sharing. In: 10th IEEE International Symposium on High Performance Distributed Computing, pp. 181–184. IEEE Press, New York (2001)CrossRefGoogle Scholar
- 6.Foster, I., Kesselman, C., Nick, J., Tuecke, S.: The Physiology of the Grid: an Open Grid Services Architecture for Distributed Systems Integration. Technical report, Global Grid Forum (2002)Google Scholar
- 7.Priss, U.: Formal concept analysis in information science. In: Annual Review of Information Science and Technology, vol. 40, pp. 521–543 (2006)Google Scholar
- 8.Tilley, T.: Tool Support for FCA. In: Eklund, P. (ed.) ICFCA 2004. LNCS (LNAI), vol. 2961, pp. 104–111. Springer, Heidelberg (2004)CrossRefGoogle Scholar
- 9.Haarslev, V., Müller, R.: RACER System Description. In: Goré, R.P., Leitsch, A., Nipkow, T. (eds.) IJCAR 2001. LNCS (LNAI), vol. 2083, pp. 701–705. Springer, Heidelberg (2001)Google Scholar
- 10.Cunningham, H., Maynard, D., Tablan, V., Ursu, C., Bontcheva, K.: Developing language processing components with GATE (2002), www.gate.ac.uk