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Discovering Atypical Property Values for Object Searches on the Web

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Web Information Systems and Mining (WISM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6988))

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Abstract

Conventional search engines are able to extract commonplace information by incorporating users’ requests into their queries. Users perform niche requests when they want to obtain atypical objects or unique information. In these instances, it is difficult for users to expand their queries to match their niche requests. In this paper, we introduce a query suggestion method for finding objects that have atypical characteristics. Our method focuses on the property values of an object, and elicits atypical property values by using the relation between an object’s name and a typical property value.

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Author information

Authors and Affiliations

  1. Graduate School of Human Science and Environment, University of Hyogo, Japan

    Tatsuya Fujisaka

  2. Graduate School of Engineering, University of Hyogo, Japan

    Takayuki Yumoto

  3. School of Human Science and Environment, University of Hyogo, Japan

    Kazutoshi Sumiya

Authors
  1. Tatsuya Fujisaka
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  2. Takayuki Yumoto
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  3. Kazutoshi Sumiya
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Editor information

Editors and Affiliations

  1. Department of Computer and Inforamtion Science, University of Macau, Av. Padre Tomás Pereira, Taipa, Macau, China

    Zhiguo Gong

  2. School of Computer, Shanghai University, 200444, Shanghai, China

    Xiangfeng Luo

  3. College of Computer and Software, Taiyuan University of Technology, 030024, Taiyuan, China

    Junjie Chen

  4. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

  5. Department of Business Administration, Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan O, Hong Kong, China

    Fu Lee Wang

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© 2011 Springer-Verlag Berlin Heidelberg

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Fujisaka, T., Yumoto, T., Sumiya, K. (2011). Discovering Atypical Property Values for Object Searches on the Web. In: Gong, Z., Luo, X., Chen, J., Lei, J., Wang, F.L. (eds) Web Information Systems and Mining. WISM 2011. Lecture Notes in Computer Science, vol 6988. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23982-3_14

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  • DOI: https://doi.org/10.1007/978-3-642-23982-3_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23981-6

  • Online ISBN: 978-3-642-23982-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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