Kim Young Tae, Kim Chi Su

KIPS Transactions on Software and Data Engineering, Vol. 7, No. 8, pp. 281-286, Aug. 2018
10.3745/KTSDE.2018.7.8.281,   PDF Download:
Keywords: Ontology, Terms, Relationship, Extraction, Join-Set, pattern
Abstract

With recent increase in complexity and variety of information and massively available information, interest in and necessity of ontology has been on the rise as a method of extracting a meaningful search result from massive data. Although there have been proposed many methods of extracting the ontology from a given text of a natural language, the extraction based on most of the current methods is not consistent with the structure of the ontology. In this paper, we propose a method of automatically creating ontology by distinguishing a term needed for establishing the ontology from a text given in a specific domain and extracting various relationships between the terms based on the pattern-based method. To extract the relationship between the terms, there is proposed a method of reducing the size of a searching space by taking a matching set of patterns into account and connecting a join-set concept and a pattern array. The result is that this method reduces the size of the search space by 50-95% without removing any useful patterns from the search space.

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