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

Isaac Lera, Carlos Juiz, Ramon Puigjaner

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

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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