Abstract:
This article proposes a process for automatic population of ontologies from text that applies natural language processing and information extraction techniques to acquire...Show MoreMetadata
Abstract:
This article proposes a process for automatic population of ontologies from text that applies natural language processing and information extraction techniques to acquire and classify ontology instances. The work is part of HERMES, an FCT/CAPES research project looking for techniques and tools for automating the process of ontology learning and population. Two experiments using a legal and a tourism corpora were conducted in order to evaluate it. The results indicate that our approach can extract and classify instances with high effectiveness with the additional advantage of domain independence.
Published in: 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA)
Date of Conference: 27-29 November 2012
Date Added to IEEE Xplore: 24 January 2013
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