SEMANTICS-BASED SIMILARITY DECISIONS FOR ONTOLOGIES

Anne Yun-An Chen, Dennis McLeod

2005

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. Chen, A. Y., Chung, S., Gao, S., McLeod, D., Donnellan, A., Parker, J., Fox, G., Pierce, M., Gould, M., Grant, L., & Rundle, J. (2003). Interoperability and semantics for heterogeneous earthquake science data. Published paper presented to Semantic Web Technologies for Searching and Retrieving Scientific Data Workshop, Sanibel Island, Florida.
  2. De Lazzari, C., Guerrieri, E., Pisanelli, D.M., & Murray, A. (2003). A domain ontology for mechanical circulatory support systems . Computers in Cardiology (IEEE Cat. No.03CH37504). IEEE Press. xxvii+829, 417-19.
  3. Khan, L., McLeod, D., & Hovy, E.H. (2004). Retrieval effectiveness of an ontology-based model for information selection. The VLDB Journal. 13(1), 71- 85.
  4. Philippi, S., & Kohler, J. (2004). Using XML technology for the ontology-based semantic integration of life science databases . IEEE Transactions on Information Technology in Biomedicine. (IEEE)8, no. 2, 154-60.
  5. Shekar, B., Natarajan, R. (2002). A fuzzy-graph-based approach to the determination of interestingness' of association rules. Lecture Notes in Artificial Intelligence Vol.2569. Berlin, Germany : SpringerVerlag. xiii+648, 377-88.
Download


Paper Citation


in Harvard Style

Yun-An Chen A. and 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 443-446. DOI: 10.5220/0002553604430446


in Bibtex Style

@conference{iceis05,
author={Anne Yun-An Chen and 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={443-446},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002553604430446},
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 - Yun-An Chen A.
AU - McLeod D.
PY - 2005
SP - 443
EP - 446
DO - 10.5220/0002553604430446