Reflecting all query aspects on query expansion.
Copyright policy )Reflecting all query aspects on query expansion.
This paper presents the effect of reflecting all query aspects on query expansion using local context analysis and similarity measure in improving MEDLINE document retrieval. For the OHSUMED test collection, a comparison of our experimental results shows that they are more effective than using the standard Rocchio's weight, and all query aspects are better reflected by the local context analysis.
- Seoul National University Korea (Republic of)
Korea, Abstracting and Indexing, Artificial Intelligence, MEDLINE, Terminology as Topic, Data Mining, Information Storage and Retrieval, Algorithms, Natural Language Processing, Pattern Recognition, Automated
Korea, Abstracting and Indexing, Artificial Intelligence, MEDLINE, Terminology as Topic, Data Mining, Information Storage and Retrieval, Algorithms, Natural Language Processing, Pattern Recognition, Automated
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