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    Characteristics of Pro-c Analogies and Blends between Research Publications


    Abgaz, Y. and Chaudhry, E. and O'Donoghue, Diarmuid and Hurley, D. and Zhang, J. J. (2017) Characteristics of Pro-c Analogies and Blends between Research Publications. In: Eighth International Conference on Computational Creativity, ICCC 2017, 19-23 June 2017, Atlanta, Georgia, USA.

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    Abstract

    Dr Inventor is a tool that aims to enhance the professional (Pro-c) creativity of researchers by suggesting novel hypotheses, arising from analogies between publications. Dr Inventor processes original research documents using a combination of lexical analysis and cognitive computation to identify novel comparisons that suggest new research hypotheses, with the objective of supporting a novel research publication. Research on analogical reasoning strongly suggests that the value of analogy-based comparisons depends primarily on the strength of the mapping (or counterpart projection) between the two analogs. An evaluation study of a number of computer generated comparisons attracted creativity ratings from a group of practising researchers. This paper explores a variety of theoretically motivated metrics operating on different conceptual spaces, identifying some weak associations with user's creativity ratings. Surprisingly, our results show that metrics focused on the mapping appear to have less relevance to creativity than metrics assessing the inferences (blended space). This paper includes a brief description of a research project currently exploring the best research hypothesis generated during this evaluation. Finally, we explore PCA as a means of specifying a combined multiple metrics from several blending spaces as a basis for detecting comparisons to enhance researchers’ creativity.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Characteristics; Pro-c Analogies; Research Publications; Dr Inventor; analogy-based comparisons;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 10344
    Depositing User: Dr. Diarmuid O'Donoghue
    Date Deposited: 20 Dec 2018 17:26
    Refereed: Yes
    Funders: European Union Seventh Framework Programme ([FP7/2007-2013])
    URI:

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