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General Information
    • ISSN: 2382-6185
    • Frequency: Quarterly (2015-2016); semiyearly (Since 2017)
    • DOI: 10.18178/IJKE
    • Editor-in-Chief: Prof. Chen-Huei Chou
    • Executive Editor: Ms. Nina Lee
    • Indexed by: Google Scholar, DOAJ, Engineering & Technology Digital Library, Crossref, ProQuest
    • E-mail: ijke@ejournal.net
Editor-in-chief
Prof. Chen-Huei Chou
College of Charleston, SC, USA
It is my honor to be the editor-in-chief of IJKE. I will do my best to help develop this journal better.
IJKE 2015 Vol.1(3): 209-213 ISSN: 2382-6185
doi: 10.18178/ijke.2015.1.3.036

An Approach to the Construction of Personalized Knowledge Map Based on Collaborative Tagging

Ming Li, Mengyue Yuan, and Haitao Xiong
Abstract—Knowledge is the strategic resource for the organization. Knowledge map is an important tool for knowledge sharing. Providing the personalized knowledge map based on the preference of users can ease the burden of learning the knowledge map and facilitate the finding of the required knowledge. The tagging to documents reflects the user’s preference of classification. In the paper, the approach to the personalized knowledge map construction based on the collaborative tagging is proposed. Firstly, the weight of the tag in documents is identified. Secondly, the similarity of users on the preference of classification is defined and then users that have the similar classification preference are identified to expand the current user’s preference of personalized classification. Then the text vector of document and text similarity is identified. Afterwards, the knowledge is clustered according to both the personalized classification similarity and text similarity. Finally, the topics of each cluster are identified. In the topic identification, both the weight of the term in the text and the weight of the term in the tags are integrated. The experiment shows that proposed method is feasible and performs well.

Index Terms—Knowledge map, knowledge management systems, personalized knowledge map.

Ming Li and Mengyue Yuan are with School of Business Administration, China University of Petroleum, China (e-mail: brightliming@outlook.com).
Haitao Xiong is with School of Computer and Information Engineering, Beijing Technology and Business University, China.

[PDF]

Cite: Ming Li, Mengyue Yuan, and Haitao Xiong, "An Approach to the Construction of Personalized Knowledge Map Based on Collaborative Tagging," International Journal of Knowledge Engineering vol. 1, no. 3, pp. 209-213, 2015.

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