Abstract
A hybrid approach to automated identification and monitoring of technology trends is presented. The hybrid approach combines methods of ontology based information extraction and statistical methods for processing OBIE results. The key point of the approach is the so called ‘black box’ principle. It is related to identification of trends on the basis of heuristics stemming from an elaborate ontology of a technology trend.
This paper is based on the results of the project ‘Identification of the prominent research areas in Social Science and Humanities aimed at improving efficiency of S&T management’ (Agreement № 02.602.21.0003, Identification number: RFMEFI60214X0003) which was initiated and sponsored by the Russian Ministry of Education and Science
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Efimenko, I.V., Khoroshevsky, V.F. (2014). New Technology Trends Watch: An Approach and Case Study. In: Agre, G., Hitzler, P., Krisnadhi, A.A., Kuznetsov, S.O. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2014. Lecture Notes in Computer Science(), vol 8722. Springer, Cham. https://doi.org/10.1007/978-3-319-10554-3_16
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DOI: https://doi.org/10.1007/978-3-319-10554-3_16
Publisher Name: Springer, Cham
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