AN APPLICATION OF SEMANTIC DISTANCE BETWEEN SHORT TEXTS TO INVENTIVE DESIGN

Wei Yan, Cécilia Zanni-Merk, François Rousselot

2011

Abstract

The gradual development of inventive design techniques makes that numerous knowledge sources are available for experts to solve inventive problems in different technical and non-technical fields. Real-world problems are established in terms of parameters that are inherent to the artefact being developed, but inventive design techniques use generalized engineering parameters to propose solutions to the problem. An abstraction effort needs to be provided to choose, then, the best generalized parameter. In this paper, we firstly present the inventive principles ontology we have established as a support for our approach. According to this ontology, we propose a method to calculate the semantic distance between short texts and use it to fill the semantic gap between the parameter and the generalized one, to facilitate the use of inventive design techniques.

References

  1. Agirre, E. and Rigau, G. (1996). Word sense disambiguation using conceptual density. In Proceedings of the 16th conference on Computational linguistics - Volume 1, COLING 7896, pages 16-22, Stroudsburg, PA, USA. Association for Computational Linguistics.
  2. Altsthuller, G. (1984). Creativity as an Exact Science. Gordon and Breach Scientific Publishers, New York.
  3. Altsthuller, G. (1999). TRIZ The innovation algorithm; systematic innovation and technical creativity. Technical Innovation Center Inc., Worcester, MA.
  4. Budanitsky, A. (1999). Lexical semantic relatedness and its application in natural language processing. In Natural Language Processing.
  5. Cavallucci, D. and Eltzer, T. (9 November 2007). Parameter network as a means for driving problem solving process. International Journal of Computer Applications in Technology, 30:125-136(12).
  6. Fellbaum, C., editor (1998). WordNet: An Electronic Lexical Database. MIT Press, Cambridge, MA.
  7. Jiang, J. and Conrath, D. (1997). Semantic similarity based on corpus statistics and lexical taxonomy. In Proc. of the Int'l. Conf. on Research in Computational Linguistics, pages 19-33.
  8. Lin, D. (1998). An information-theoretic definition of similarity. In Proceedings of the Fifteenth International Conference on Machine Learning, ICML 7898, pages 296-304, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc.
  9. Rada, R., Mili, H., Bicknell, E., and Blettner, M. (1989). Development and application of a metric on semantic nets. IEEE Transactions on Systems, Man and Cybernetics, 19(1):17-30.
  10. Rahm, E. and Bernstein, P. (2001). A survey of approaches to automatic schema matching. In The International Journal on Very Large Data Bases (VLDB).
  11. Resnik, P. (1995). Using information content to evaluate semantic similarity in a taxonomy. In Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1, pages 448-453, San Francisco, CA, USA. Morgan Kaufmann Publishers Inc.
  12. Sussna, M. (1993). Word sense disambiguation for freetext indexing using a massive semantic network. In Proceedings of the second international conference on Information and knowledge management, CIKM 7893, pages 67-74, New York, NY, USA. ACM.
  13. Tennant, G. (2003). Pocket TRIZ for Six Sigma. Mulbury Consulting Limited, Bristol, England.
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Paper Citation


in Harvard Style

Yan W., Zanni-Merk C. and Rousselot F. (2011). AN APPLICATION OF SEMANTIC DISTANCE BETWEEN SHORT TEXTS TO INVENTIVE DESIGN . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011) ISBN 978-989-8425-80-5, pages 261-266. DOI: 10.5220/0003660702610266


in Bibtex Style

@conference{keod11,
author={Wei Yan and Cécilia Zanni-Merk and François Rousselot},
title={AN APPLICATION OF SEMANTIC DISTANCE BETWEEN SHORT TEXTS TO INVENTIVE DESIGN},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)},
year={2011},
pages={261-266},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003660702610266},
isbn={978-989-8425-80-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2011)
TI - AN APPLICATION OF SEMANTIC DISTANCE BETWEEN SHORT TEXTS TO INVENTIVE DESIGN
SN - 978-989-8425-80-5
AU - Yan W.
AU - Zanni-Merk C.
AU - Rousselot F.
PY - 2011
SP - 261
EP - 266
DO - 10.5220/0003660702610266