Semantic Relation Modeling and Representation for Problem-Solving Ontology-based Linguistic Resources: Issues and Proposals

Francisco Alvarez, Antonio Vaquero, Fernando Sáenz, Manuel de Buenaga

2007

Abstract

Semantic relations are an important element in the construction of ontologies and models of problem domains. Nevertheless, they remain under-specified. This is a pervasive problem in Software Engineering and Artificial Intelligence. Consequently, we find semantic links that can have multiple interpretations in ontologies that support information systems, semantic data models with abstractions that are not enough to capture the relation richness of problem domains, and improperly structured taxonomies. However, if provided with precise semantics, some of these problems can be avoided, and meaningful operations can be performed on them. In this paper we present some insightful issues about the modeling and representation of semantic relations that include the available taxonomy structuring methodologies as well as the initiatives aiming to provide relations with precise semantics. Furthermore, we explain and propose the notion of control and verification of relations as a means to properly structure ontologies.

References

  1. Buenaga, M. et al. The SINAMED and ISIS Projects: Applying Text Mining Techniques to Improve Access to a Medical Digital Library. LNCS 4172, pp. 548-551, 2006.
  2. Vaquero, A. et al. Conceptual Design for Domain and Task Specific Ontology-Based Linguistic Resources. LNCS 4275, pp. 658-668. 2006.
  3. Vaquero, A. et al. Thinking Precedes Action: Using Software Engineering for the Development of a Terminology Database to Improve Access to Biomedical Documentation. LNCS 4345, pp. 207-218. 2006.
  4. Vaquero, A. Álvarez, F. and Sáenz, F. A Review of Common Problems in Linguistic Resources and a New Way to Represent Ontological Relationships. Electronic Journal of the Argentine Society for Informatics and Operations Research, Vol. 7(1), ISSN 1514 - 6774, pp. 1-11. 2007.
  5. Yoo, J., Catanio, J. and Ravi, P. Relationship Analysis in Requirements Engineering. Requirements Engineering, Vol. 9(4), pp. 238-247. 2004.
  6. Chen, P. The Entity-Relationship Model - Toward a Unified View of Data. ACM Transactions on Database Systems 1(1). 1976.
  7. Booch, G. Object-Oriented Development. IEEE Transactions on Software Engineering 12(12). 1986.
  8. Rumbaugh, J. 1991. Object-Oriented Modeling and Design. Prentice-Hall, New Jersey.
  9. Steimann, F., Gößner, J. and Mück, T. On the Key Role of Composition in Object-Oriented Model-ing. LNCS 2863, pp. 106-120, 2003.
  10. Booch, G., Rumbaugh, J & Jacobson, I. The Unified Modeling Language User Guide. Addison Wesley. 1999.
  11. Kashyap, V. and Borgida, A. Representing the UMLS® Semantic Network using OWL. LNCS 2870, pp. 1-16. 2003.
  12. Schulz et al. From Knowledge Import to Knowl-edge Finishing: Automatic Acquisition and Semiau-tomatic Refinement of Medical Knowledge. In Proc. of the 12th Banff Knowledge Acquisition for Knowl-edge-Based Systems Workshop - KAW'99. 1999.
  13. Nirenburg, S. et al. Ontological Semantic Text Processing in the Biomedical Domain. Working Pa-per #03-05, Institute for Language and Information Technologies, University of Maryland. 2005.
  14. Hirst G. Ontology and the Lexicon. In Staab & Studer (eds), Handbook on Ontologies, Springer-Verlag, pp. 209-230. 2004.
  15. Welty, C. & Guarino, N. Supporting Ontological Analysis of Taxonomic Relationships. Data and Knowledge Engineering, Vol. 39(1) Elsevier. 2001.
  16. Bachimont, B., Isaac, A., Troncy, R. Semantic Commitment for Designing Ontologies: A Proposal. LNCS 2473, pp. 114-119. 2002.
  17. Barrett, H.C. On the Functional Origins of Essentialism. Mind and Society 3(2), pp. 1-30. 2001.
  18. Medin, D. & Ortony, A. Psychological Essentialism. In S. Vosniadou & A. Ortony (eds.) Similarity and Analogical Reasoning. Cambridge University Press, pp. 179-195. 1989.
  19. Machery, E. et al. Semantics Cross-Cultural Style. Cognition 92, pp.B1-B12. 2004.
  20. Rastier, F., Cavazza, M., Abeillé, A. Sémantique pour l'analyse. De la linguistique à l'informatique, Masson. 1994.
  21. Russomanno, D. A Plausible Inference Prototype for the Semantic Web. Journal of Intelligent Informa-tion Systems, Vol. 26(3), pp.227-246. 2006.
  22. Hahn, U., Schulz, S., Romacker, M. 1999. Part-whole Reasoning: A Case Study in Medical Ontology Engi-neering. Intelligent Systems and their applications, Vol. 14(5), pp.59-67, IEEE Computer Society.
  23. Hicks, R.C. 2003. Knowledge-Based Management Sys-tem-Tools for Creating Verified Intelligent Systems. Knowledge Based Systems 16, pp. 165-171.
  24. Moreno, A. and Pérez, C. 2000. Reusing the Mikrokos-mos Ontology for Concept-Based Multilingual Ter-minology Databases. In Proc. of the 2nd LREC, pp. 1061-1067.
  25. Viegas, E. et al. 1999. Semantics in Action. In P. Saint-Dizier (ed.), Predicative Forms in Natural Language and in Lexical Knowledge Bases, Kluwer, pp. 1-33.
Download


Paper Citation


in Harvard Style

Alvarez F., Vaquero A., Sáenz F. and de Buenaga M. (2007). Semantic Relation Modeling and Representation for Problem-Solving Ontology-based Linguistic Resources: Issues and Proposals . In Proceedings of the 4th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2007) ISBN 978-972-8865-97-9, pages 59-70. DOI: 10.5220/0002422700590070


in Bibtex Style

@conference{nlpcs07,
author={Francisco Alvarez and Antonio Vaquero and Fernando Sáenz and Manuel de Buenaga},
title={Semantic Relation Modeling and Representation for Problem-Solving Ontology-based Linguistic Resources: Issues and Proposals},
booktitle={Proceedings of the 4th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2007)},
year={2007},
pages={59-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002422700590070},
isbn={978-972-8865-97-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2007)
TI - Semantic Relation Modeling and Representation for Problem-Solving Ontology-based Linguistic Resources: Issues and Proposals
SN - 978-972-8865-97-9
AU - Alvarez F.
AU - Vaquero A.
AU - Sáenz F.
AU - de Buenaga M.
PY - 2007
SP - 59
EP - 70
DO - 10.5220/0002422700590070