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http://dx.doi.org/10.14400/JDC.2019.17.1.209

Design and Implementation of Information Retrieval System Based on Ontology Using Semantic Web  

Seo, Woo-Jin (Dept. of Computer Information, Gangdong Univ.)
Rhyu, Kyeong-Taek (Dept. of Computer Information, Gangdong Univ.)
Publication Information
Journal of Digital Convergence / v.17, no.1, 2019 , pp. 209-217 More about this Journal
Abstract
In this paper, the purpose of this paper is to lay the foundation for the search system by using and building an online search engine suitable for the search domain and enabling search, conversion, integration and sharing of information. It is to use the ontology to infer hierarchical relationships, deduce objects based on that layer, and extract attributes to search areas that are relevant to the data that the user wants. In order to search for information in this way, the information search system was implemented by entering key words related to 'qualifications'. The implemented system arranged the meaning and relationship of each attribute online so that the general public can search information quickly, easily, and accurately. In addition, the implementation results were compared with two different search engines. Comparable search engines are Naver and Daum, the two major search engines. The search engine of this study, which was built using an ontology suitable for the search domain to perform searches using the semantic web, was evaluated to have excellent results. However, it is thought that a more formalized online location is necessary to increase the accuracy and reliability of search engines and to include more comprehensive categories of search terms.
Keywords
Ontology; Semantic web; Search system; Information retrieval system; Search engines;
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