A Constellation Graph Based Approach for Ontology Construction

Abstract:

The ontology construction methodology frameworks used so far are limited in certain domains lack of mature knowledge hierarchy and require the reference alignments to be specified manually. This paper presents a constellation graph based method to build ontologies including two critical steps: transform the property of the concepts abstracted into the corresponding data; draw a constellation graph based on the data and the classes in the same constellation part constitute a new kind of classes. This approach can facilitate ontology construction process with little human efforts and be more time-saving. A practical example is used to illustrate the performance of this approach.

• Periodical: Applied Mechanics and Materials (Volumes 397-400)
• Pages: 2540-2545
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.397-400.2540
• Online since: September 2013
• Authors: Yi Li Liu, Yang Yang
• Keywords: Classes Hierarchy, Constellation Graph, Ontology

References

[1] Anton, J.J.; Hemphill, L.; Riemenschneider, R.A.; Rockmore, A.J.: Artificial intelligence for informational problem solving. Fifteenth Asilomar Conference on Circuits, Systems & Computers, pp.232-7. (1982).

[2] Fink, P.K.; Lusth, J.C.; Duran, J.W.: A general expert system design for diagnostic problem solving. Proceedings of the IEEE Workshop on Principles of Knowledge-Based Systems (Cat. No. 84CH2104-8), pp.45-52. (1984).

[3] Yoo, Y. -D., Kwang-Ju: Guidelines for selecting expert system shells: technical issues. Proceedings of the IASTED International Conference. Artificial Intelligence, Expert Systems and Neural Networks, pp.220-2. (1996).

[4] Chung, T. Rachel: Association for Information Systems - 13th Americas Conference on Information Systems, AMCIS 2007: Reaching New Heights, v 7, pp.4826-4832 (2007), Association for Information Systems - 13th.

[5] Kouamou, Georges Edouard; Tchuente, Dieudonné: Experience with model sharing in data mining environments. Proceedings - The 3rd International Conference on Software Engineering Advances, ICSEA 2008, Includes ENTISY 2008: International Workshop on Enterprise Information Systems, pp.118-122 (2008).

DOI: 10.1109/icsea.2008.74

[6] Xu Bo-quan; Wang Heng; Shi Zhen-ming: Journal of China Academy of Electronics and Information Technology, v 4, n 1, pp.1-6, (2009).

[7] Jo´zefowska, J. : Knowledge Representation for Automated Reasoning. Agent and Multi-Agent Systems: Technologies and Applications. Proceedings 4th KES International Symposium, KES-AMSTA 2010, pp.6-11, (2010).

DOI: 10.1007/978-3-540-78582-8

[8] Harsh, O.K.: Data, information and knowledge & reuse management techniques. WCE 2007. World Congress on Engineering 2007, pp.195-200 (2007).

[9] Aguirre, A.H.; Borja, R.M.; Garcia, C.A.R. . MICAI 2009: Advances in Artificial Intelligence. 8th Mexican International Conference on Artificial Intelligence, 9-13 Nov. 2009, Guanajuato, Mexico; Publisher: Springer Verlag, Berlin, Germany.

DOI: 10.1007/978-3-642-05258-3

[10] QF Yang, YX Ceng.: Application Research of Computers. 2002(4)：5-7.

[11] ZH Deng, SW Tang, M Zhang, DQ Yang, J Chen: Acta Scicentiarum Naturalum Universitis Pekinesis. Vol 38(5): 730-739 (2002).

[12] NF Noy, DL McGuinness: Ontology Development 101: A Guid to Creating Your First Ontology[J]. www. kunal. org/scoble/archives/2004_04. html - 101k - 2004. 6. 16.

[13] XQ He: Modern Statistical Analysis Method and Application [M], Beijing: China Renmin University Press, 17-33，215-241 (1998).

[14] J Lin; Yamagishi, Hiroyuki, Oyama-Higa, Mayumi: Time-Series Representation of Biological Information Utilizing a Constellation Graph. 2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis (ISPA 2009): 321-326 (2009).

DOI: 10.1109/ispa.2009.5297729