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SCHOLAT: An Innovative Academic Information Service Platform

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Databases Theory and Applications (ADC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9877))

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Abstract

We present a system called SCHOLAT, which is implemented as a scholar-oriented social network that aims to form an academic community to let users establish connection with other researchers. SCHOLAT provides two novel professional services that are useful to researchers, namely, XPSearch and XSRecom. XPSearch is a service that provides vertical searching of research papers with author name disambiguation. XSRecom uses a topic community-based method to provide users with a list of “Recommend Scholars”, which can help them find potential collaborators who share the same research interests and may be interested in building a cooperative relationship. These two services boost the efficiency of searching papers and discover research opportunities for scholars.

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References

  1. Arasu, A., Cho, J., Garcia-Molina, H., Paepcke, A., Raghavan, S.: Searching the web. ACM Trans. Internet Technol. 1(1), 2–43 (2001)

    Article  Google Scholar 

  2. He, C.B., Li, H.C., Fei, X., Tang, Y., Zhu, J.: A topic community-based method for friend recommendation in online social networks via joint nonnegative matrix factorization. In: The 3rd International Conference on Advanced Cloud and Big Data, pp. 28–35 (2015)

    Google Scholar 

  3. Zhu, J., Xie, Q., Yu, S.I., Wong, W.H.: Exploiting link structure for web page genre identification. Data Min. Knowl. 30(3), 550–575 (2015)

    Article  MathSciNet  Google Scholar 

  4. Zhu, J., Yang, Y., Xie, Q., Wang, L.W., Hassan, S.: Robust hybrid name disambiguation framework for large databases. Scientometrics 98(3), 2255–2274 (2014)

    Article  Google Scholar 

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Acknowledgments

This work was supported by the S&T Projects of Guangdong Province (No. 2015B010109003, 2016A030303055, 2016A030303058, 2016B030305004).

Author information

Authors and Affiliations

  1. College of Engineering and Science, Victoria University, Melbourne, Australia

    Feiyi Tang & Jing He

  2. School of Computer Science, South China Normal University, Guangzhou, China

    Jia Zhu, Chengzhou Fu & Yong  Tang

  3. School of Information Science and Technology, Zhongkai University of Agriculture and Engineering, Guangzhou, China

    Chaobo He

Authors
  1. Feiyi Tang
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  2. Jia Zhu
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  3. Chaobo He
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  4. Chengzhou Fu
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  5. Jing He
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  6. Yong  Tang
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Corresponding author

Correspondence to Jia Zhu .

Editor information

Editors and Affiliations

  1. Monash University , Clayton, Australia

    Muhammad Aamir Cheema

  2. School of Comp. Science a. Engineer, University of New South Wales School of Comp. Science a. Engineer, Sydney, Australia

    Wenjie Zhang

  3. University of New South Wales , Sydney, New South Wales, Australia

    Lijun Chang

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© 2016 Springer International Publishing AG

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Tang, F., Zhu, J., He, C., Fu, C., He, J., Tang, Y. (2016). SCHOLAT: An Innovative Academic Information Service Platform. In: Cheema, M., Zhang, W., Chang, L. (eds) Databases Theory and Applications. ADC 2016. Lecture Notes in Computer Science(), vol 9877. Springer, Cham. https://doi.org/10.1007/978-3-319-46922-5_38

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  • DOI: https://doi.org/10.1007/978-3-319-46922-5_38

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46921-8

  • Online ISBN: 978-3-319-46922-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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