The Development of Research Recommendation System for Southern Thailand Development

Abstract

The research was to identify needs on design and development of a research recommendation system for 14 southern province Thailand development. The system employs semantic search function, research system structure and scope of knowledge during January 2008 to December 2017. 3,873 entries had been gathered from Thai Library Integrated System (ThaiLIS), Thai National Research Repository (TNRR), and Southern universities research database by employing textual analysis and knowledge organization focusing on Classification Approach and categorization which main topics are sorted and categorized. To develop ontology, it applies knowledge engineering concept and using Protege Ontology Editor version 3.5 beta and version 5.5 beta to process the data for the accurate system development according to user-centered design concept. The study findings were the developed system is able to support information exchange, information retrieval, and research search and to decrease research redundancy and unnecessary budgeting. Moreover, the system could possible enhance conducting more innovations, confirming experts in the area, showing research trends, and showing research results on related fields, strategies, and problems which leads to the Southern developments extensively. After the implementation, the users’ overall opinions and satisfaction was at a high level (X= 4.14, S.D = 0.14) and information retrieval efficiency of system was at a good level (overall = 0.70-0.88) with 0.70 accuracy, 0.78 recall, 0.88 precision, and 0.82 F-measure.