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Autoria: • Lucas Drumond
• Rosario Girardi
Título: An Experiment Using Markov Logic Network to Extract Ontology Concepts from Text
Complemento: Proceedings of the II International Workshop on Web and Text Intelligence (WTI 2009)
Resumo: Since ontology development is currently an error prone, time consuming and expensive task, ontology based systems suffer from the so called knowledge acquisition bottleneck. One approach for this problem is to provide automatic or semi-automatic support for ontology construction. This field of research is known as ontology learning. Many techniques for learning ontologies from text have been proposed, most of them based on statistical learning and natural language processing methods. This work presents an approach for extracting ontology concepts from text that combines both ideas through statistical relational learning. A Markov Logic Network as been developed for this task and is described here.
Palavras-chave: Ontology Learning; Knowledge Acquisition; Statistical Relational Learning
Catalogação: ISSN 2175-6201
Páginas: 1-10
Local: São Carlos, SP, Brasil
Data: 07 a 11 de setembro de 2009
Meio: Anais de eventos
Vínculo: www.labic.icmc.usp.br/wti2009/
Arquivo: artigo_wti.zip


Atualizado em 03/11/2016
UNIVERSIDADE FEDERAL DO MARANHÃO
CENTRO DE CIÊNCIAS EXATAS E TECNOLOGIA
DEPARTAMENTO DE INFORMÁTICA