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Intelligent Web Data Management: Software Architectures and Emerging Technologies pp 47–64Cite as

Intelligent Web Data Management of Social Question Answering

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 643))

Abstract

Social question answering is generally defined as an exchange of messages, which convey a plea for help. Recently, more and more people are using the Internet to find support and share their experiences. However, the success rate of this online social question answering is relatively low. Besides, clients are forced to purchase a software to provide services to their users with high cost. This Chapter introduces intelligent Web data management of an online social question answering system, which aims at improving the success ratio of the question answering process with a multi-tenant architecture. The experimental result illustrate that the developed architecture improves the success rate and performance successfully and provides the support of data customizing of tenants to increase the sparsity.

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Author information

Authors and Affiliations

  1. Shandong Provincial Key Laboratory of Network Based Intelligent Computing, School of Information Science and Engineering, University of Jinan, Jinan, 250022, Shandong, China

    Kun Ma, Bo Yang & Runyuan Sun

  2. Scientific Network for Innovation and Research Excellence, Machine Intelligence Research Labs (MIR Labs), Auburn, WA, USA

    Ajith Abraham

Authors
  1. Kun Ma
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  2. Ajith Abraham
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  3. Bo Yang
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  4. Runyuan Sun
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Corresponding author

Correspondence to Kun Ma .

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© 2016 Springer International Publishing Switzerland

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Ma, K., Abraham, A., Yang, B., Sun, R. (2016). Intelligent Web Data Management of Social Question Answering. In: Intelligent Web Data Management: Software Architectures and Emerging Technologies. Studies in Computational Intelligence, vol 643. Springer, Cham. https://doi.org/10.1007/978-3-319-30192-1_3

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  • DOI: https://doi.org/10.1007/978-3-319-30192-1_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30191-4

  • Online ISBN: 978-3-319-30192-1

  • eBook Packages: EngineeringEngineering (R0)

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