Identification of interdisciplinary ideas |
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| Institution: | 1. Fraunhofer INT, D-53879 Euskirchen, Appelsgarten 2, Germany;2. Ghent University, B-9000 Gent, Tweekerkenstraat 2, Belgium;1. Institute of Computing, Federal University of Amazonas –Av. Gen. Rodrigo Otávio, 3000, Manaus 69077-000, AM, Brazil;2. Neemu S/A, Av. Via Lactea, 1374, Manaus 69060-020, AM, Brazil;1. Departamento de Lenguajes y Sistemas Informáticos, Universidad de Alicante, Alicante, Spain;2. Departamento de Computación, Universidad Agraria de La Habana, La Habana, Cuba;1. Electrical and Computer Engineering, Shahid Beheshti University, G.C., Tehran, Iran;2. Electrical and Computer Engineering, Tehran University, Tehran, Iran;3. Research School of Computer Science, Australian National University, Canberra, Australia;1. Universitat Politècnica de València, 46022 Valencia, Spain;2. Sciling, 46022 Valencia, Spain;3. Brown University, Providence, RI 02912, United States;4. École Polytechnique de Montréal, QC 06079, Canada;1. Department of Electronic Engineering, Tsinghua University, Beijing, China;2. School of Computing and Information Sciences, Florida International University, Miami, FL, USA |
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| Abstract: | Literature shows interdisciplinary research as an essential driver for innovation. Ideas that are used as a starting point for this research are of an interdisciplinary nature because they combine aspects from different disciplines. The identification of interdisciplinary ideas at an early stage enables the start of interdisciplinary research and thus, it enables advances to be made in the innovation process. We propose a new methodology that combines semantic clustering and classification to estimate the interdisciplinary nature of ideas from a set of given ideas. The set is created automatically by use of an existing idea mining approach. Ideas from this set are semantically clustered to obtain concepts that are latent in the data. The relationship between each concept and each discipline pair from a set of given disciplines is calculated. Based on the degree of relationship, concepts are used to represent the interdisciplinary field spanned by the two disciplines. The ideas standing behind these concepts are identified as interdisciplinary ideas. As a result, the proposed methodology enables an estimation of the interdisciplinary nature of given ideas. The results might be helpful for researchers as well as for decision makers in the field of innovation management. |
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