title: Reflecting all query aspects on query expansion.
abstract: 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.
authors.affiliation: Seoul National University, Seoul, Korea.
authors.forename: Sooyoung
authors.initials: S
authors.lastname: Yoo
authors.forename: Jinwook
authors.initials: J
authors.lastname: Choi
mesh_terms: 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