Abstract
This paper suggests a semi-automatic ontology construction method based on hub words. To do this, we define the words that are related to many other words as hub words. We determine the hub words by the statistical analysis of documents. Additionally, we discuss the base ontology construction process based on hub words and automatic ontology extension method. The proposed ontology can be used like an index file for traditional document retrieval and can offer more semantic information than simple index files.
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These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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© 2003 Springer-Verlag Berlin Heidelberg
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Koo, S.O., Lim, S.Y., Lee, S.J. (2003). Constructing an Ontology Based on Hub Words. In: Zhong, N., Raś, Z.W., Tsumoto, S., Suzuki, E. (eds) Foundations of Intelligent Systems. ISMIS 2003. Lecture Notes in Computer Science(), vol 2871. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39592-8_14
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DOI: https://doi.org/10.1007/978-3-540-39592-8_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20256-1
Online ISBN: 978-3-540-39592-8
eBook Packages: Springer Book Archive