Exploiting ontological relations for automatic semantic tag recommendation
Proceedings of the 7th International Conference on Semantic Systems
Folkview: a multi-agent system approach to modeling folksonomies
UMAP'11 Proceedings of the 19th international conference on Advances in User Modeling
A balanced memory-based collaborative filtering similarity measure
International Journal of Intelligent Systems
A smart TV system with body-gesture control, tag-based rating and context-aware recommendation
Knowledge-Based Systems
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Collaborative tagging represents for the Web a potential way for organizing and sharing information and for heightening the capabilities of existing search engines. However, because of the lack of automatic methodologies for generating the tags and supporting the tagging activity, many resources on the Web are deficient in tag information, and recommending opportune tags is both a current open issue and an exciting challenge. This paper approaches the problem by applying a combined set of techniques and tools (that uses tags, domain ontologies, keyphrase extraction methods) thereby generating tags automatically. The proposed approach is implemented in the PIRATES (Personalized Intelligent tag Recommender and Annotator TEStbed) framework, a prototype system for personalized content retrieval, annotation, and classification. A case study application is developed using a domain ontology for software engineering. © 2010 Wiley Periodicals, Inc.