Factors of success for end-user computing
Communications of the ACM
Journal of Educational Multimedia and Hypermedia
Knowledge Sharing in Practice
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
Making Knowledge Visible through Intranet Knowledge Maps: Concepts, Elements, Cases
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 4 - Volume 4
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track1 - Volume 1
Knowledge Map Creation and Maintenance for Virtual Communities of Practice
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 3 - Volume 3
Usage patterns of collaborative tagging systems
Journal of Information Science
IEEE Intelligent Systems
Consumer Behavior in Web-Based Commerce: An Empirical Study
International Journal of Electronic Commerce
Knowledge Management: An Organizational Capabilities Perspective
Journal of Management Information Systems
ICSC '07 Proceedings of the International Conference on Semantic Computing
Semantic Tagging for Large-scale Content Management
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Tagging and searching: Search retrieval effectiveness of folksonomies on the World Wide Web
Information Processing and Management: an International Journal
Tagging: People-powered Metadata for the Social Web
Tagging: People-powered Metadata for the Social Web
A design of knowledge management tool for supporting product development
Information Processing and Management: an International Journal
Determinants of the Web accessibility of European banks
Information Processing and Management: an International Journal
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Social tagging systems enable users to assign arbitrary tags to various digital resources. However, they face vague-meaning problems when users retrieve or present resources with the keyword-based tags. In order to solve these problems, this study takes advantage of Semantic Web technology and the topological characteristics of knowledge maps to develop a system that comprises a semantic tagging mechanism and triple-pattern and visual searching mechanisms. A field experiment was conducted to evaluate the effectiveness and user acceptance of these mechanisms in a knowledge sharing context. The results show that the semantic social tagging system is more effective than a keyword-based system. The visualized knowledge map helps users capture an overview of the knowledge domain, reduce cognitive effort for the search, and obtain more enjoyment. Traditional keyword tagging with a keyword search still has the advantage of ease of use and the users had higher intention to use it. This study also proposes directions for future development of semantic social tagging systems.