Proceedings of the 23rd International Academic Conference, Venice

BUILDING NATIONAL R&D TREND KNOWLEDGE MAP USING TOPIC ANALYSIS.

EUNJI YU, YOUNGEUN KWON

Abstract:

Recently, big data collection, storage, analysis and visualization technologies have emerged in IT industry. As a result, there have been attempts to discover issues in diverse domains such as politics, society, economy and culture and utilize the results in making a decision. For example, a trend knowledge map and issue tracking designed to extract issues and glimpse at issue change patterns have drawn an attention. This study has proposed a method to construct a visualized national R&D trend knowledge map after analyzing user query data on national R&D information in the National Science & Technology Information Service (NTIS) which has collected and provided the national R&D information. It is expected that the proposed national R&D trend knowledge map would help national R&D researchers plan and implement national R&D projects and programs.

Keywords: Text Mining, Topic Analysis, Issue Tracking, Visualization, Social Network Analysis

DOI: 10.20472/IAC.2016.023.101

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