Case-Based Reasoning (CBR) and semantic web are intelligent methods or techniques that have been used in number of critical fields. Both methods have unique strengths and immense potential in problem solving in a wide range of domains. The main aim of this paper is to highlight an overview of the current efforts by researchers to integrate the capabilities of both techniques of CBR and semantic web. Through an analysis on the current literature involving 21 related articles, a taxonomy was developed indicating there were three stands of research focus. First, 38% (n = 8) of the articles involved studies of new methods that combined both techniques. Second, 33.3% (n = 7) of the articles dealt with the development of working frameworks or new approaches. Third, 28.6% (n = 6) of the articles focused on efforts to develop systems that integrated both techniques. In particular, the analysis showed that the medical field was the dominant field in which the integrated technique was widely used in solving medical-related problems. In light of this emerging potential, both techniques can also be applied to help provide efficient and effective problem-solving solutions for other important fields.
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In-Text Citation: (Shaharin, Saad, Hashim, & Ubaidullah, 2019)
To Cite this Article: Shaharin, S., Saad, A., Hashim, M., & Ubaidullah, N. H. (2019). Current Trends in the Integration of Case-Based Reasoning and Semantic Web. International Journal of Academic Research in Business and Social Sciences, 9(14), 107–120.
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