Abstract
Extraction and management of technical terminologies become an important process in the business intelligence. To do this, historic methods have a focus on calculating weight values and selecting top n terminologies according to the values for the cores that represent given scientific documents. These terminologies selected through those methods can be used as important clues for business intelligence services such as technology trend analysis, potential market discover, and so on however the terminologies extracted from the documents do not mean the technologies of the organizations publishing the documents. Therefore, our research is based on a fundamental that there are only a few technologies an organization participates in directly even though a scientific document of the organization contains various technical terminologies. In this paper, to enhance the quality of business intelligence services, we propose a method to select core technologies of an organization and utilize semantic networks of technical terminologies of a given scientific document and we suggest its possibility through simple experimental evaluation.
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© 2013 Springer International Publishing Switzerland
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Hwang, M. et al. (2013). Selection of Core Technologies from Scientific Document. In: Yoshida, T., Kou, G., Skowron, A., Cao, J., Hacid, H., Zhong, N. (eds) Active Media Technology. AMT 2013. Lecture Notes in Computer Science, vol 8210. Springer, Cham. https://doi.org/10.1007/978-3-319-02750-0_30
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DOI: https://doi.org/10.1007/978-3-319-02750-0_30
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-02749-4
Online ISBN: 978-3-319-02750-0
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