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Vol.35 No.1
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Generating and Controlling an Interlinking Network of Technical Terms to Enhance Data Utilization

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2018, v.35 no.1, pp.157-182
https://doi.org/10.3743/KOSIM.2018.35.1.157

(2018). Generating and Controlling an Interlinking Network of Technical Terms to Enhance Data Utilization. Journal of the Korean Society for Information Management, 35(1), 157-182, https://doi.org/10.3743/KOSIM.2018.35.1.157
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Abstract

As data management and processing techniques have been developed rapidly in the era of big data, nowadays a lot of business companies and researchers have been interested in long tail data which were ignored in the past. This study proposes methods for generating and controlling a network of technical terms based on text mining technique to enhance data utilization in the distribution of long tail theory. Especially, an edit distance technique of text mining has given us efficient methods to automatically create an interlinking network of technical terms in the scholarly field. We have also used linked open data system to gather experimental data to improve data utilization and proposed effective methods to use data of LOD systems and algorithm to recognize patterns of terms. Finally, the performance evaluation test of the network of technical terms has shown that the proposed methods were useful to enhance the rate of data utilization.

keywords
롱테일 법칙, 개방형 연결 데이터, 언어 자원, DBLP, 편집 거리 알고리즘, long tail theory, linked open data, language resources, DBLP, edit distance algorithm

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