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Identification and characterisation of technological topics in the field of Molecular Biology

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Abstract

Following up the European project PromTech the aim of which was to detect emerging technologies by studying the scientific literature, we chose one field, Molecular Biology, to identify and characterize emerging topics within that domain. We combined two analytical approaches: the first one introduces a model of the terminological evolution of the field based on bibliometric indicators and the second one operates a diachronic clustering analysis. Our objective is to bring answers to questions such as: Which technological aspects can be detected? Which of them are already established and which of them are new? How are the topics linked to each other?

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References

  • Ferber, R. (2003). Information retrieval, Suchmodelle und Data-Mining-Verfahren für Textsammlungen und das Web. Heidelberg: dpunkt.

  • Lelu, A. (1993). Modèles neuronaux pour l’analyse de données documentaires et textuelles. PhD Dissertation, Université de Paris 6

  • Lelu, A., & François, C. (1992). Hypertext paradigm in the field of information retrieval: A neural approach. In 4th ACM conference on hypertext. Milano, November 30–December 4, 1992.

  • Polanco X., François C., Royauté J., Besagni D., & Roche, I (2001). Stanalyst®: An integrated environment for clustering and mapping analysis on science and technology. In Proceedings of the 8th ISSI, Sydney, July 16–20, 2001.

  • Robertson, S. (2004). Understanding inverse document frequency: On theoretical arguments for IDF. Journal of Documentation, 60(5), 503–520.

    Article  Google Scholar 

  • Schiebel, E., & Hörlesberger, M. (2007). About the identification of technology specific keywords in emerging technologies: The case of “Magnetoelectronics”. In D. Torres-Salinas and H. F. Moed (Eds.), Proceedings of ISSI 2007, 11th international conference of the international society for scientometrics and informetrics (pp. 691–669). Madrid: CSIC.

  • Spärck, J. K., & Robertson, S. (2006). Inverse document frequency—The IDF page. Retrieved November 22, 2006, from http://www.soi.city.ac.uk/~ser/idf.html.

  • van Rijsbergen, C. J. (1979). Information retrieval. London: Butterworths.

    Google Scholar 

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Acknowledgment

This work has been realized thanks to the European project N° 15615 (NEST) - Sixth Research and Development Framework Plan of the European Union, during 2005–2007. The project acronym is PromTech, and the project full title is “Identification and Assessment of Promising and Emerging Technological Fields in Europe”.

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Authors and Affiliations

  1. INIST-CNRS, 2 allée du Parc de Brabois, CS 10310, 54519, Vandoeuvre-lès-Nancy, France

    Ivana Roche, Dominique Besagni & Claire François

  2. AIT Austrian Institute of Technology GmbH, Tech Gate Vienna, Donau-City-Straße 1, 1220, Wien, Austria

    Marianne Hörlesberger & Edgar Schiebel

Authors
  1. Ivana Roche
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  2. Dominique Besagni
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  3. Claire François
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  4. Marianne Hörlesberger
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  5. Edgar Schiebel
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Correspondence to Ivana Roche.

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Roche, I., Besagni, D., François, C. et al. Identification and characterisation of technological topics in the field of Molecular Biology. Scientometrics 82, 663–676 (2010). https://doi.org/10.1007/s11192-010-0178-8

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  • DOI: https://doi.org/10.1007/s11192-010-0178-8

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