Abstract
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 language | English |
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Pages (from-to) | 634-652 |
Number of pages | 19 |
Journal | Information Processing and Management |
Volume | 50 |
Issue number | 5 |
DOIs | |
State | Published - 1 Jan 2014 |
Keywords
- Knowledge ontology
- Knowledge-sharing
- Online encyclopedia
- Recommender systems
- Social media