Abstract
In this paper we have proposed a system that performs both ontology-based text information extraction and ontology update using the extracted information. The system employs text-mining techniques to mine information from text documents guided by an underlying ontology. It also enhances the existing ontology with new concepts and their descriptors which may be precise and/ or imprecise, mined from the text. All extracted information related to concepts and concept descriptors are also stored in a structured knowledge base.
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Abulaish, M., Dey, L. (2005). Knowledge Enhancement Through Ontology-Guided Text Mining. In: Pal, S.K., Bandyopadhyay, S., Biswas, S. (eds) Pattern Recognition and Machine Intelligence. PReMI 2005. Lecture Notes in Computer Science, vol 3776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590316_95
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DOI: https://doi.org/10.1007/11590316_95
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30506-4
Online ISBN: 978-3-540-32420-1
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