WordNet: a lexical database for English
Communications of the ACM
Learning implicit user interest hierarchy for context in personalization
Proceedings of the 8th international conference on Intelligent user interfaces
Usage patterns of collaborative tagging systems
Journal of Information Science
HT06, tagging paper, taxonomy, Flickr, academic article, to read
Proceedings of the seventeenth conference on Hypertext and hypermedia
Yago: a core of semantic knowledge
Proceedings of the 16th international conference on World Wide Web
Dynamic link service 2.0: using wikipedia as a linkbase
Proceedings of the eighteenth conference on Hypertext and hypermedia
Collective knowledge systems: Where the Social Web meets the Semantic Web
Web Semantics: Science, Services and Agents on the World Wide Web
Using the Semantic Web for linking and reusing data across Web 2.0 communities
Web Semantics: Science, Services and Agents on the World Wide Web
Tag-based social interest discovery
Proceedings of the 17th international conference on World Wide Web
Correlating user profiles from multiple folksonomies
Proceedings of the nineteenth ACM conference on Hypertext and hypermedia
Representation of context-dependant knowledge in ontologies: A model and an application
Expert Systems with Applications: An International Journal
Semantic Enrichment of Folksonomy Tagspaces
ISWC '08 Proceedings of the 7th International Conference on The Semantic Web
DBpedia: a nucleus for a web of open data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Personalized Content Retrieval in Context Using Ontological Knowledge
IEEE Transactions on Circuits and Systems for Video Technology
Recommendation of similar users, resources and social networks in a Social Internetworking Scenario
Information Sciences: an International Journal
Implicit feedback techniques on recommender systems applied to electronic books
Computers in Human Behavior
International Journal of Web Based Communities
Hi-index | 0.00 |
Web-based knowledge systems support an impressive and growing amount of information. Among the difficulties faced by these systems is the problem of overwhelming the user with a vast amount of data, often referred to as information overload. The problem has escalated with the ever increasing issues of time constraints and the extensive use of handheld devices. The use of context is one possible way out helping with this situation. To provide a more robust approach to context gathering we propose the use of Social Web technologies alongside the Semantic Web. As the social web is heavily used it could provide a better understanding of a user's interests and intentions. The proposed system gathers information about users from their social web identities and enriches it with ontological knowledge. Thus an interest model for the user can be created which can serve as a good source of contextual knowledge. This work bridges the gap between the user and system searches by analyzing the virtual existence of a user and making interesting recommendations accordingly.