On term selection for query expansion
Journal of Documentation
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Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
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Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
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Journal of the American Society for Information Science and Technology
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Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
On document relevance and lexical cohesion between query terms
Information Processing and Management: an International Journal
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Expert Systems with Applications: An International Journal
Adapting information retrieval to query contexts
Information Processing and Management: an International Journal
Query phrase expansion using wikipedia in patent class search
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
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Information Retrieval
Expert Systems with Applications: An International Journal
An Ontology-Based Query Expansion for an Agricultural Expert Retrieval System
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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We present new methods of query expansion using terms that form lexical cohesive links between the contexts of distinct query terms in documents (i.e., words surrounding the query terms in text). The link-forming terms (link-terms) and short snippets of text surrounding them are evaluated in both interactive and automatic query expansion (QE). We explore the effectiveness of snippets in providing context in interactive query expansion, compare query expansion from snippets vs. whole documents, and query expansion following snippet selection vs. full document relevance judgements. The evaluation, conducted on the HARD track data of TREC 2005, suggests that there are considerable advantages in using link-terms and their surrounding short text snippets in QE compared to terms selected from full-texts of documents.