A recommender mechanism for social knowledge navigation in an online encyclopedia

Yung-Ming Li*, Lien Fa Lin, Yu Hui Lin

*Corresponding author for this work

Research output: Contribution to journalArticle

8 Scopus citations


In today's world, knowledge is important for constructing core competitive advantages for individuals and organizations. Recently, Web 2.0 applications and social media have provided a convenient medium for people to share knowledge over the Internet. However, the huge amount of created knowledge can also leads to the problem of information overload. This research proposes a social knowledge navigation mechanism that utilizes the techniques of relevant knowledge network construction, knowledge importance analysis, and knowledge concept ontology construction to generate a visualized recommendation of a knowledge map of sub-concept and knowledge of an article reading sequence for supporting learning activities related to a free online encyclopedia. The results of experiments conducted on Wikipedia show that the proposed mechanism can effectively recommend useful articles and improve a knowledge seeker's learning effectiveness.

Original languageEnglish
Pages (from-to)634-652
Number of pages19
JournalInformation Processing and Management
Issue number5
StatePublished - 1 Jan 2014


  • Knowledge ontology
  • Knowledge-sharing
  • Online encyclopedia
  • Recommender systems
  • Social media

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