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TtoO: Mining a Thesaurus and Texts to Build and Update a Domain Ontology

TtoO: Mining a Thesaurus and Texts to Build and Update a Domain Ontology

Josiane Mothe, Nathalie Hernandez
Copyright: © 2008 |Pages: 22
ISBN13: 9781599046181|ISBN10: 1599046180|ISBN13 Softcover: 9781616926571|EISBN13: 9781599046204
DOI: 10.4018/978-1-59904-618-1.ch007
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MLA

Mothe, Josiane, and Nathalie Hernandez. "TtoO: Mining a Thesaurus and Texts to Build and Update a Domain Ontology." Data Mining with Ontologies: Implementations, Findings, and Frameworks, edited by Hector Oscar Nigro, et al., IGI Global, 2008, pp. 123-144. https://doi.org/10.4018/978-1-59904-618-1.ch007

APA

Mothe, J. & Hernandez, N. (2008). TtoO: Mining a Thesaurus and Texts to Build and Update a Domain Ontology. In H. Nigro, S. Gonzalez Cisaro, & D. Xodo (Eds.), Data Mining with Ontologies: Implementations, Findings, and Frameworks (pp. 123-144). IGI Global. https://doi.org/10.4018/978-1-59904-618-1.ch007

Chicago

Mothe, Josiane, and Nathalie Hernandez. "TtoO: Mining a Thesaurus and Texts to Build and Update a Domain Ontology." In Data Mining with Ontologies: Implementations, Findings, and Frameworks, edited by Hector Oscar Nigro, Sandra Elizabeth Gonzalez Cisaro, and Daniel Hugo Xodo, 123-144. Hershey, PA: IGI Global, 2008. https://doi.org/10.4018/978-1-59904-618-1.ch007

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Abstract

This chapter introduces a method re-using a thesaurus built for a given domain, in order to create new resources of a higher semantic level in the form of an ontology. Considering ontologies for data-mining tasks relies on the intuition that the meaning of textual information depends on the conceptual relations between the objects to which they refer rather than on the linguistic and statistical relations of their content. To put forward such advanced mechanisms, the first step is to build the ontologies. The originality of the method is that it is based both on the knowledge extracted from a thesaurus and on the knowledge semi-automatically extracted from a textual corpus. The whole process is semi-automated and experts’ tasks are limited to validating certain steps. In parallel, we have developed mechanisms based on the obtained ontology to accomplish a science monitoring task. An example will be given.

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