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Advanced Computational Methods for Knowledge Engineering pp 229–241Cite as

Personalized Facets for Faceted Search Using Wikipedia Disambiguation and Social Network

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 453))

Abstract

The main aim of this paper is to deal with semantic search based on personalized facets using Wikipedia disambiguation data which can help to solve lexical ambiguity. User profile is learned from his/her activities and preferences in Facebook social network. Faceted graph visualization for result collaborative filtering is proposed. The facets are vertices representing ontological concepts. Other vertices represent instances belonging to the concepts, which are known as facets values. The vertices are highlighted by matching with user profile using TF-IDF feature vector model in order to individually produce search interfaces . The ties between vertices are ontological relations or properties considering as variables/attributes of facets. An algorithm to construct the faceted graph visualization and collaboratively filter search result is also provided. The faceted search method presented here is implemented to demonstrate these ideas.

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Notes

  1. 1.

    http://www.alexa.com/siteinfo/wikipedia.org.

  2. 2.

    https://spring.io/tools.

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, Le Quy Don University, Hanoi, Vietnam

    Hong Son Nguyen

  2. Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam

    Hong Phuc Pham

  3. International University, Vietnam National University, Ho Chi Minh City, Vietnam

    Trong Hai Duong & Huynh Minh Triet Le

  4. Banking University of Ho Chi Minh City, Ho Chi Minh City, Vietnam

    Thi Phuong Trang Nguyen

Authors
  1. Hong Son Nguyen
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  2. Hong Phuc Pham
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  3. Trong Hai Duong
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  4. Thi Phuong Trang Nguyen
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  5. Huynh Minh Triet Le
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Corresponding author

Correspondence to Hong Son Nguyen .

Editor information

Editors and Affiliations

  1. International Institute for Applied Systems Analysis (IIASA), Laxenburg, Austria

    Thanh Binh Nguyen

  2. Department of Networked Systems and Services, Budapest University of Technology and Economics, Budapest, Hungary

    Tien van Do

  3. Laboratory of Theoretical and Applied Computer Science (LITA), UFR MIM, University of Lorraine, Ile du Saulcy, Metz, France

    Hoai An Le Thi

  4. Institute of Informatics, Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

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© 2016 Springer International Publishing Switzerland

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Nguyen, H.S., Pham, H.P., Duong, T.H., Nguyen, T.P.T., Le, H.M.T. (2016). Personalized Facets for Faceted Search Using Wikipedia Disambiguation and Social Network. In: Nguyen, T.B., van Do, T., An Le Thi, H., Nguyen, N.T. (eds) Advanced Computational Methods for Knowledge Engineering. Advances in Intelligent Systems and Computing, vol 453. Springer, Cham. https://doi.org/10.1007/978-3-319-38884-7_17

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  • DOI: https://doi.org/10.1007/978-3-319-38884-7_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-38883-0

  • Online ISBN: 978-3-319-38884-7

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