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http://dx.doi.org/10.17662/ksdim.2021.17.4.103

Constructing Ontology based on Korean Parts of Speech and Applying to Vehicle Services  

Cha, Si-Ho (청운대학교 멀티미디어학과)
Ryu, Minwoo (현대자동차 자동차부분 연구개발본부)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.17, no.4, 2021 , pp. 103-108 More about this Journal
Abstract
Knowledge graph is a technology that improves search results by using semantic information based on various resources. Therefore, due to these advantages, the knowledge graph is being defined as one of the core research technologies to provide AI-based services recently. However, in the case of the knowledge graph, since the form of knowledge collected from various service domains is defined as plain text, it is very important to be able to analyze the text and understand its meaning. Recently, various lexical dictionaries have been proposed together with the knowledge graph, but since most lexical dictionaries are defined in a language other than Korean, there is a problem in that the corresponding language dictionary cannot be used when providing a Korean knowledge service. To solve this problem, this paper proposes an ontology based on the parts of speech of Korean. The proposed ontology uses 9 parts of speech in Korean to enable the interpretation of words and their semantic meaning through a semantic connection between word class and word class. We also studied various scenarios to apply the proposed ontology to vehicle services.
Keywords
Knowledge Graph; Lexical Dictionary; Ontology; Semantics; Vehicle Service;
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