UNSUPERVISED ALGORITHM FOR THE CONCEPT DISAMBIGUATION IN ONTOLOGIES - Semantic Rules and Voting System to Determine Suitable Senses

Isaac Lera, Carlos Juiz, Ramon Puigjaner

2010

Abstract

We present a new unsupervised algorithm which uses external resources and does not require any training to determine the sense more suitable of an ontology concept. We try to find out lexical coincidences among terms of both resources: ontology and WordNet. Through a voting system, we give weight each sense according to measurable parameters and logic rules, in function of semantic role of each correspondence element.

References

  1. Banek, M., Vrdoljak, B., and Tjoa, A. M. (2008). Word Sense Disambiguation as the Primary Step of Ontology Integration. In Proceedings of the 19th international conference on Database and Expert Systems Applications, pages 65-72. Springer-Verlag.
  2. Castano, S., Ferrara, A., and Montanelli, S. (2003). Hmatch: an algorithm for dynamically matching ontologies in peer-based systems. In In Proc. of the 1st Int. Workshop on Semantic Web and Databases (SWDB) at VLDB 2003, pages 231-250.
  3. Khelif, K., Gandon, F., Corby, O., and Dieng-Kuntz, R. (2008). Using the Intension of Classes and Properties Definition in Ontologies for Word Sense Disambiguation. In Proceedings of the 16th international conference on Knowledge Engineering, pages 188-197, Berlin, Heidelberg. Springer-Verlag.
  4. Kilgarriff, A. (1998). SENSEVAL: An Exercise in Evaluating Word Sense Disambiguation Programs. In Proceedings of the First International Conference on Language Resources and Evaluation, pages 581-588.
  5. Lera, I., Juiz, C., and Puigjaner, R. (2008). Quick Ontology Mapping Algorithm for distributed environments. In Semantic Web and Web Services, volume 1, pages 107-113. CSREA Press.
  6. Liu, S., Yu, C., and Meng, W. (2005). Word Sense Disambiguation in Queries. In Proceedings of the 14th ACM international conference on Information and knowledge management, pages 525-532. ACM.
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Paper Citation


in Harvard Style

Lera I., Juiz C. and Puigjaner R. (2010). UNSUPERVISED ALGORITHM FOR THE CONCEPT DISAMBIGUATION IN ONTOLOGIES - Semantic Rules and Voting System to Determine Suitable Senses . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010) ISBN 978-989-8425-29-4, pages 388-391. DOI: 10.5220/0003094403880391


in Bibtex Style

@conference{keod10,
author={Isaac Lera and Carlos Juiz and Ramon Puigjaner},
title={UNSUPERVISED ALGORITHM FOR THE CONCEPT DISAMBIGUATION IN ONTOLOGIES - Semantic Rules and Voting System to Determine Suitable Senses},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)},
year={2010},
pages={388-391},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003094403880391},
isbn={978-989-8425-29-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)
TI - UNSUPERVISED ALGORITHM FOR THE CONCEPT DISAMBIGUATION IN ONTOLOGIES - Semantic Rules and Voting System to Determine Suitable Senses
SN - 978-989-8425-29-4
AU - Lera I.
AU - Juiz C.
AU - Puigjaner R.
PY - 2010
SP - 388
EP - 391
DO - 10.5220/0003094403880391