SEMANTICS-BASED SIMILARITY DECISIONS FOR ONTOLOGIES

Dennis McLeod

Abstract

Many data representation structures, such as web site categories and domain ontologies, have been established for semantic-based information search and retrieval on the web. These structures consist of concepts and their interrelationships. Approaches to determine the similarity in semantics among concepts in data representation structures have been developed in order to facilitate information retrieval and recommendation processes. Some approaches are only suitable for similarity computations in pure tree structures. Other approaches designed for the Directed Acyclic Graph structures yield high computational complexity for online similarity decisions. In order to provide efficient similarity computations for data representation structures, we propose a geometry-based solution. Similarity computations are based on geometric properties. The similarity model is based on the proposed geometry-based solution, and the online similarity computation is performed in a constant time.

References

  1. Boehm, B.W. and Bose, P., 1994. A Collaborative Spiral Software Process Model Based on Theory W. In Proceedings of the 3rd International Conference on Software Process, IEEE Computer Society, Washington DC, 1994.
  2. Charette, R.N., 1989. Software Engineering Risk Analysis and Management, McGraw Hill, New York.
  3. Fairley, R., 1994. Risk Management of Software Projects, IEEE Software, Vol. 11, pp. 57-67.
  4. Freimut, B., Hartkopf, S., Kontio, J. and Kobitzsch, W., 2001. An Industrial Case Study of Implementing Software Risk Management, In Proceedings of the 9th ACM SIGSOFT International Symposium on Foundations of Software Engineering, Vienna, pp. 277-287.
  5. Gemmer A. and Koch, P., 2003. Rockwell Case Studies in Risk Management, Proceedings of the 3rd SEI Conference on Software Risk Management, SEI, Pittsburgh, PA.
  6. Kontio, J., 1997. The Riskit Method for Software Risk Management, Version 1.00, Technical Report, CS-TR3782/UMIACS-TR-97-38, University of Maryland, College Park, MD, USA.
  7. Yu, E, 1997. Towards Modeling and Reasoning Support for Early-Phase Requirements Engineering, Proc. of the 3rd Intl. IEEE Symp. Requirements Engineering, January 6-8, 1997, Washington D.C., pp. 226-235.
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Paper Citation


in Harvard Style

McLeod D. (2005). SEMANTICS-BASED SIMILARITY DECISIONS FOR ONTOLOGIES . In Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 972-8865-19-8, pages 288-293. DOI: 10.5220/0002554402880293


in Bibtex Style

@conference{iceis05,
author={Dennis McLeod},
title={SEMANTICS-BASED SIMILARITY DECISIONS FOR ONTOLOGIES},
booktitle={Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2005},
pages={288-293},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002554402880293},
isbn={972-8865-19-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Seventh International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - SEMANTICS-BASED SIMILARITY DECISIONS FOR ONTOLOGIES
SN - 972-8865-19-8
AU - McLeod D.
PY - 2005
SP - 288
EP - 293
DO - 10.5220/0002554402880293