Abstract
Technical literature such as patents, research papers, whitepapers, and technology news articles are widely recognized as important information sources for people seeking broad knowledge in technology fields. However, it is generally a labor intensive task to survey these resources to track major advances in a broad range of technical areas. To alleviate this problem, we propose a novel survey assistance tool that focuses on a novel semantic class for phrases, advantage phrases, which mention strong, advantageous points of technologies or products. The advantage phrases such as “reduce cost,” “improve PC performance,” and “provide early warning of a future failure” can help users to grasp the capabilities of a new technology and to come up with innovative solutions with large business values for themselves and their clients. The proposed tool automatically extracts and lists up those advantage phrases from large technical documents, and places the phrases that mention novel technology applications high on the output list. The developed prototype of the tool is now available for consultants analyzing patent disclosures. In this paper, a method to identify advantage phrases in technical documents and a scoring function to give a higher score to novel applications of a technology are proposed and evaluated.
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Nishiyama, R., Takeuchi, H., Nasukawa, T., Watanabe, H. (2008). Extracting Advantage Phrases That Hint at a New Technology’s Potentials. In: Yamaguchi, T. (eds) Practical Aspects of Knowledge Management. PAKM 2008. Lecture Notes in Computer Science(), vol 5345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89447-6_11
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DOI: https://doi.org/10.1007/978-3-540-89447-6_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89446-9
Online ISBN: 978-3-540-89447-6
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