Contents-Analysis Support for Better Reference to Technical Papers

Toyohide Watanabe () and Masato Aoki
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Toyohide Watanabe: Department of Systems and Social Informatics, Graduate School of Information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan
Masato Aoki: Department of Systems and Social Informatics, Graduate School of Information Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan

Journal of Information & Knowledge Management (JIKM), 2012, vol. 11, issue 04, 1-8

Abstract: It is not always easy, not only for beginners but also for experts, to find out newly research subjects or grasp analytically research trends (or directions). This work is one of the intelligent tasks. Traditionally, some investigations or research projects focused on the challengeable task of human-oriented creativeness: The efforts are very stable and the results make the basic framework or fundamental ideas clear one by one for strictly-constrained application of human-activity. This task is closely dependent on the global framework of knowledge management with respect to the support from human creative activity. In this paper, we discuss a computer-support method to arrange already-read papers analytically and then discuss the research topics related to currently focused research fields or research trends derived from the existing papers and researcher's interests. Our idea is to realise this paper inquiry method in three procedural steps, such as arranging paper contents, grasping relationships among papers and investigating research subjects followed by already-referred papers, and also make users interact with individually-generated results by controlling spirally three steps.

Keywords: Correspondence analysis; research subject finding; creativity support; classification tree; scatter diagram (search for similar items in EconPapers)
Date: 2012
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DOI: 10.1142/S021964921250030X

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