loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Rim Zarrad ; Narjes Doggaz and Ezzeddine Zagrouba

Affiliation: University of Tunis El Manar, Tunisia

ISBN: 978-989-8565-81-5

Keyword(s): Relation Extraction, Title, Ontology, Wikipedia.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Data Engineering ; Enterprise Information Systems ; Information Systems Analysis and Specification ; Knowledge Acquisition ; Knowledge Engineering and Ontology Development ; Knowledge Representation ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Ontology Engineering ; Symbolic Systems

Abstract: With the advent of the Web and the explosion of available textual data, the field of domain ontology engineering has gained more and more importance. The last decade, several successful tools for automatically harvesting knowledge from web data have been developed, but the extraction of taxonomic and non taxonomic ontological relationships is still far from being fully solved. This paper describes a new approach which extracts ontological relations from Wikipedia. The non-taxonomic relations extraction process is performed by analyzing the titles which appear in each document of the studied corpus. This method is based on regular expressions which appear in titles and from which we can extract not only the two arguments of the relationships but also the labels which describe the relations. The resulting set of labels is used in order to retrieve new relations by analyzing the title hierarchy in each document. Other relations can be extracted from titles and subtitles containing only one term. An enrichment step is also applied by considering each term which appears as a relation argument of the extracted links in order to discover new concepts and new relations. The experiments have been performed on French Wikipedia articles related to the medical field. The precision and recall values are encouraging and seem to validate our approach. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.91.71.108

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Zarrad, R.; Doggaz, N. and Zagrouba, E. (2013). Title-based Approach to Relation Discovery from Wikipedia.In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013) ISBN 978-989-8565-81-5, pages 70-80. DOI: 10.5220/0004547400700080

@conference{keod13,
author={Rim Zarrad. and Narjes Doggaz. and Ezzeddine Zagrouba.},
title={Title-based Approach to Relation Discovery from Wikipedia},
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)},
year={2013},
pages={70-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004547400700080},
isbn={978-989-8565-81-5},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2013)
TI - Title-based Approach to Relation Discovery from Wikipedia
SN - 978-989-8565-81-5
AU - Zarrad, R.
AU - Doggaz, N.
AU - Zagrouba, E.
PY - 2013
SP - 70
EP - 80
DO - 10.5220/0004547400700080

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.