Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Usage patterns of collaborative tagging systems
Journal of Information Science
The complex dynamics of collaborative tagging
Proceedings of the 16th international conference on World Wide Web
Organizing and the Process of Sensemaking
Organization Science
Discovering shared conceptualizations in folksonomies
Web Semantics: Science, Services and Agents on the World Wide Web
Advances in Web Semantics I
Expert Systems with Applications: An International Journal
Contextualising tags in collaborative tagging systems
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Tagging: People-powered Metadata for the Social Web
Tagging: People-powered Metadata for the Social Web
Social bookmark weighting for search and recommendation
The VLDB Journal — The International Journal on Very Large Data Bases
On the role of user-generated metadata in audio visual collections
Proceedings of the sixth international conference on Knowledge capture
Reconciling knowledge in social tagging web services
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Tag-based algorithms can predict human ratings of which objects a picture shows
Multimedia Tools and Applications
On the complexity of shared conceptualizations
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
SHIATSU: tagging and retrieving videos without worries
Multimedia Tools and Applications
Topic based photo set retrieval using user annotated tags
Multimedia Tools and Applications
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Some of the most remarkable innovative technologies from the Web 2.0 are the collaborative tagging systems. They allow the use of folksonomies as a useful structure for a number of tasks in the social web, such as navigation and knowledge organization. One of the main deficiencies comes from the tagging behaviour of different users which causes semantic heterogeneity in tagging. As a consequence a user cannot benefit from the adequate tagging of others. In order to solve the problem, an agent-based reconciliation knowledge system, based on Formal Concept Analysis, is applied to facilitate the semantic interoperability between personomies. This article describes experiments that focus on conceptual structures produced by the system when it is applied to a collaborative tagging service, Delicious. Results will show the prevalence of shared tags in the sharing of common resources in the reconciliation process.