Abstract
Ontology as an important knowledge representation tool is widely used in many fields. Constructing domain ontology is a lengthy, costly task. Rapid, accurate construction of ontology has thus become an important topic. In this paper, a method that automates construction of the ontology is proposed. The method integrates text analysis, TF/IDF calculation, association rules extraction, pattern rules matching and RDF technologies. The ontology construction method does not require expenditure of time to select keywords and to define the relations by human edit or expert assistance. The method facilitates user understanding of the content of data and its relevancy, and is able to suggest content that is highly relevant. Experimental results show that the proposed approach can effectively construct Chinese domain ontology from text documents.
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Zheng, Y., Dou, W., Wu, G., Li, X. (2007). Automated Chinese Domain Ontology Construction from Text Documents. In: Li, K., Fei, M., Irwin, G.W., Ma, S. (eds) Bio-Inspired Computational Intelligence and Applications. LSMS 2007. Lecture Notes in Computer Science, vol 4688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74769-7_68
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DOI: https://doi.org/10.1007/978-3-540-74769-7_68
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