Implementing agglomerative hierarchic clustering algorithms for use in document retrieval
Information Processing and Management: an International Journal
The vocabulary problem in human-system communication
Communications of the ACM
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Scatter/Gather: a cluster-based approach to browsing large document collections
SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Some advances in transformation-based part of speech tagging
AAAI '94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 1)
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
Hierarchic document classification using Ward's clustering method
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Self-organizing maps
Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Fast and effective text mining using linear-time document clustering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A corpus analysis approach for automatic query expansion and its extension to multiple databases
ACM Transactions on Information Systems (TOIS)
Local Feedback in Full-Text Retrieval Systems
Journal of the ACM (JACM)
ACM Computing Surveys (CSUR)
Improving the effectiveness of information retrieval with local context analysis
ACM Transactions on Information Systems (TOIS)
Document clustering for electronic meetings: an experimental comparison of two techniques
Decision Support Systems - From information retrieval to knowledge management: enabling technologies and best practices
Partitioning-based clustering for Web document categorization
Decision Support Systems - Special issue on WITS '97
A semi-supervised document clustering technique for information organization
Proceedings of the ninth international conference on Information and knowledge management
A review of web searching studies and a framework for future research
Journal of the American Society for Information Science and Technology
On site: global perceptions of IS journals
Communications of the ACM
A context vector model for information retrieval
Journal of the American Society for Information Science and Technology
An effective document clustering method using user-adaptable distance metrics
Proceedings of the 2002 ACM symposium on Applied computing
Information Retrieval
Document clustering with committees
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Document organization using Kohonen's algorithm
Information Processing and Management: an International Journal
Improving retrieval feedback with multiple term-ranking function combination
ACM Transactions on Information Systems (TOIS)
Information Retrieval on the World Wide Web
IEEE Internet Computing
Journal of the American Society for Information Science and Technology
Query Expansion by Mining User Logs
IEEE Transactions on Knowledge and Data Engineering
Enhanced web document retrieval using automatic query expansion
Journal of the American Society for Information Science and Technology
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Examining differences across journal rankings
Communications of the ACM - Medical image modeling
Knowledge-based query expansion to support scenario-specific retrieval of medical free text
Proceedings of the 2005 ACM symposium on Applied computing
Reformulation of queries using similarity thesauri
Information Processing and Management: an International Journal
Combining preference- and content-based approaches for improving document clustering effectiveness
Information Processing and Management: an International Journal
Verifying the proximity and size hypothesis for self-organizing maps
Journal of Management Information Systems - Special section: Exploring the outlands of the MIS discipline
Journal of Management Information Systems
Artificial Intelligence in Medicine
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Word mismatch represents a fundamental information retrieval challenge that has become increasingly important as electronic document repositories (e.g., Web resources, digital libraries) grow in number and sheer volume. In general, word mismatch refers to the phenomenon in which a concept is described by different terms in user queries and in source documents. Query expansion represents a promising avenue to address such problems. Previous research predominantly approaches query expansion on the basis of global or local analysis. However, these approaches emphasize a global perspective rather than taking a topic-specific view of term associations. As a consequence, their effectiveness can be severely constrained when the document corpus spans a diverse set of topics. In this study, we propose a topic-based approach for query expansion and develop and empirically evaluate two novel methods-namely, nonfuzzy and fuzzy topic-based query expansion-to address word mismatch problems. According to our evaluation results, the proposed topic-based approach is more effective than a benchmark global analysis method, particularly when user queries consist of multiple query terms.