The vocabulary problem in human-system communication
Communications of the ACM
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Query expansion using lexical-semantic relations
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
WordNet: a lexical database for English
Communications of the ACM
Improving the effectiveness of information retrieval with local context analysis
ACM Transactions on Information Systems (TOIS)
Searching the Web: the public and their queries
Journal of the American Society for Information Science and Technology
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Re-examining the potential effectiveness of interactive query expansion
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
VisiQ: Supporting visual and interactive query refinement
Web Intelligence and Agent Systems
Concept Based Query Expansion Using WordNet
AST '09 Proceedings of the 2009 International e-Conference on Advanced Science and Technology
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Query expansion has been extensively studied as a technique for increasing information retrieval performance. However, due to the volume of documents available on the web, many of the techniques that have been successful in traditional information retrieval systems do not scale well to web information retrieval. We propose a new technique based on conceptual semantic theories, in contrast to the structuralist semantic theories upon which other techniques are based. The source of the query expansion information is the concept network knowledge base. Query terms are matched to those contained in the concept network, from which concepts are deduced and additional query terms are selected. In this paper, we describe the theoretical basis for this in-progress research, along with some preliminary results.