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Social Community Based Blog Search Framework

  • Conference paper
Book cover Database Systems for Advanced Applications (DASFAA 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7240))

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Abstract

This study proposes a blog search framework which enables a more in-depth search on a given topic by extracting the collective intelligence features in social community sites and through the query extension using these features. The characteristics of blog contents is that it has a lot of information made up of user experience and trusted more by most users than the contents gained by general search. The proposed framework extends the query using the answer information related to the query which the user wishes to search and gets applied to the blog search on this basis. The information gained from various types of social community sites could be considered as one form of collective intelligence while this has been applied to the blog search. The framework proposed in this paper utilizes the important Q&A information of social community to let the user gain more reliable and useful search results.

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Author information

Authors and Affiliations

  1. Department of Software Design and Management, Gachon University, Incheon, Republic of Korea

    Ok-Ran Jeong

  2. Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN, USA

    Jehwan Oh

Authors
  1. Ok-Ran Jeong
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  2. Jehwan Oh
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Pohang University of Science and Technology, 77 Cheongam-ro, Nam-gu, 790-784, Pohang, Gyeongbuk, South Korea

    Hwanjo Yu

  2. Schoolf of Information Science and Engineering, Northeastern University, No. 11 Lane 3 WenHua Road, HePing District, 110004, Shenyang, Liaoning Province, China

    Ge Yu

  3. Department of Computer Science, National University of Singapore, 21 Lower Kent ridge Road, 119077, Singapore, Singapore

    Wynne Hsu

  4. Department of Computer Science, Kangwon National University, 192-1, Hyoja2-Dong, 200701, Kangwon, Chuncheon, South Korea

    Yang-Sae Moon

  5. Institute for Computer Science and Business Information, University of Duisburg-Essen, Schützenbahn 70, 45117, Essen, Germany

    Rainer Unland

  6. School of Information and Communication Engineering, Chungbuk National University, 52 Naesudong-ro, Heungdeok-gu, 4072, Cheongju, Chungbuk, South Korea

    Jaesoo Yoo

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© 2012 Springer-Verlag Berlin Heidelberg

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Jeong, OR., Oh, J. (2012). Social Community Based Blog Search Framework. In: Yu, H., Yu, G., Hsu, W., Moon, YS., Unland, R., Yoo, J. (eds) Database Systems for Advanced Applications. DASFAA 2012. Lecture Notes in Computer Science, vol 7240. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29023-7_15

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  • DOI: https://doi.org/10.1007/978-3-642-29023-7_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29022-0

  • Online ISBN: 978-3-642-29023-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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