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Author: Robertas Damaševičius

Affiliation: Kaunas University of Technology Studentų 50, Lithuania

Keyword(s): Taxonomy learning, Web mining, Data mining, Machine learning, Support Vector Machine.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Ontology and the Semantic Web ; Soft Computing ; Symbolic Systems ; Web Information Systems and Technologies ; Web Interfaces and Applications ; Web Mining

Abstract: Ontologies and concept taxonomies are essential parts of the Semantic Web infrastructure. Since manual construction of taxonomies requires considerable efforts, automated methods for taxonomy construction should be considered. In this paper, an approach for automatic derivation of concept taxonomies from web search results is presented. The method is based on generating derivative features from web search data and applying the machine learning techniques. The Support Vector Machine (SVM) classifier is trained with known concept hyponym-hypernym pairs and the obtained classification model is used to predict new hyponymy (is-a) relations. Prediction results are used to generate concept taxonomies in OWL. The results of the application of the approach for constructing colour taxonomy are presented.

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Paper citation in several formats:
Damaševičius, R. (2009). AUTOMATIC GENERATION OF CONCEPT TAXONOMIES FROM WEB SEARCH DATA USING SUPPORT VECTOR MACHINE. In Proceedings of the Fifth International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-8111-81-4; ISSN 2184-3252, SciTePress, pages 666-673. DOI: 10.5220/0001842206660673

@conference{webist09,
author={Robertas Damaševičius.},
title={AUTOMATIC GENERATION OF CONCEPT TAXONOMIES FROM WEB SEARCH DATA USING SUPPORT VECTOR MACHINE},
booktitle={Proceedings of the Fifth International Conference on Web Information Systems and Technologies - WEBIST},
year={2009},
pages={666-673},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001842206660673},
isbn={978-989-8111-81-4},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the Fifth International Conference on Web Information Systems and Technologies - WEBIST
TI - AUTOMATIC GENERATION OF CONCEPT TAXONOMIES FROM WEB SEARCH DATA USING SUPPORT VECTOR MACHINE
SN - 978-989-8111-81-4
IS - 2184-3252
AU - Damaševičius, R.
PY - 2009
SP - 666
EP - 673
DO - 10.5220/0001842206660673
PB - SciTePress

- Science and Technology Publications, Lda.
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