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.
Yoo
Sooyoung
S
Seoul National University, Seoul, Korea.
Choi
Jinwook
J
D000043:Abstracting and Indexing / Q000379:methods*; D000465:Algorithms; D001185:Artificial Intelligence; D057225:Data Mining; D016247:Information Storage and Retrieval / Q000379:methods*; D007723:Korea; D016239:MEDLINE; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D009626:Terminology as Topic