상세정보
학술대회
Normalization of Gene/Protein Names in Biological Literatures using Vector-Space Model
- 발행일
- 200708
- 출처
- International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) 2007, pp.390-393
- 협약과제
- 07MB2700, 유비쿼터스 건강관리용 모듈 시스템, 박선희
- 초록
- As the number of biological literatures grows exponentially, needs for text mining system are increased. In text mining area, normalization is mapping gene/protein names to a database. It is necessary to combine extracted information from various literatures and to curate a database or an ontology using literatures. Previous normalization researches used direct comparison methods between a database and literatures, but it is weak to extremely variational gene/protein names in literatures. Therefore, in this paper, we propose a normalization method using Vector-Space Model. For each gene/protein name, we rank identifiers using Vector-Space Model, and find the most similar identifier with the name. Experimental result shows the proposed method has 70.7% f-measure. © 2007 IEEE.
- KSP 제안 키워드
- Experimental Result, F-measure, Mining area, Mining system, Normalization method, comparison method, direct comparison, space model, text mining