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An Ontology-Based Mining System for Competitive Intelligence in Neuroscience

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Web Intelligence Meets Brain Informatics (WImBI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4845))

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Abstract

Neuroscience becomes a strategic growing field for both academic institutions and industrial companies because of their profound impact on human health, clinical therapy, and basic research such as brain informatics and cognitive science. To track activities of the rapidly developing field and observe new trends, neuroscientists must keep up-to-date with all the relevant information on the internet. In this paper, we present an ontology-based mining system, which is able to probe Competitive Intelligence in Neuroscience by using a well-defined ontology. It is able to support decision making by searching neuroscientific discoveries semantically and tracking new trends statistically. The experiments performed on 15,433,668 MEDLINE articles yield evidence for the feasibility and validity of our system.

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Ning Zhong Jiming Liu Yiyu Yao Jinglong Wu Shengfu Lu Kuncheng Li

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Li, J., Huang, M., Zhu, X. (2007). An Ontology-Based Mining System for Competitive Intelligence in Neuroscience. In: Zhong, N., Liu, J., Yao, Y., Wu, J., Lu, S., Li, K. (eds) Web Intelligence Meets Brain Informatics. WImBI 2006. Lecture Notes in Computer Science(), vol 4845. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77028-2_17

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  • DOI: https://doi.org/10.1007/978-3-540-77028-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77027-5

  • Online ISBN: 978-3-540-77028-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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