Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
A comparison of collocation-based similarity measures in query expansion
Information Processing and Management: an International Journal
A corpus analysis approach for automatic query expansion and its extension to multiple databases
ACM Transactions on Information Systems (TOIS)
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Comparing relevance feedback algorithms for web search
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Topic-oriented query expansion for web search
Proceedings of the 15th international conference on World Wide Web
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
Text2Onto: a framework for ontology learning and data-driven change discovery
NLDB'05 Proceedings of the 10th international conference on Natural Language Processing and Information Systems
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Social tagging is a well known approach of assigning keywords to (web) documents in order to share the personal meaning of users about the content. However, the ambiguity of the assigned keywords hinders the knowledge sharing process. In this paper we present an approach for supporting tagging process by interpreting the keywords (tags) using a conceptual Tag model, which leads to a semantic tagging process. Moreover, the approach introduces the tag refinement process that proposes extensions of given tags in order to help the user to better express his/her "tagging" need. We present several evaluation studies in order to demonstrate the efficiency of the approach.