Semantic search among heterogeneous biological databases based on gene ontology

被引：28

作者：

Cao, SL

Qin, L

He, WZ

Zhong, Y

Zhu, YY

Li, YX ^{[1
]}

机构：

[1] Shanghai Ctr Bioinformat Technol, Shanghai 200235, Peoples R China

[2] Fudan Univ, Dept Comp & Informat Technol, Shanghai 200433, Peoples R China

[3] Fudan Univ, Sch Life Sci, Shanghai 200433, Peoples R China

[4] Chinese Acad Sci, Shanghai Inst Biol Sci, Bioinformat Ctr, Shanghai 200031, Peoples R China

来源：

ACTA BIOCHIMICA ET BIOPHYSICA SINICA | 2004年 / 36卷 / 05期

关键词：

gene ontology; semantic search; BioDW;

D O I：

10.1093/abbs/36.5.365

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 [生物化学与分子生物学]; 081704 [应用化学];

摘要：

Semantic search is a key issue in integration of heterogeneous biological databases. In this paper, we present a methodology for implementing semantic search in BioDW, an integrated biological data warehouse. Two tables are presented: the DB2GO table to correlate Gene Ontology (GO) annotated entries from BioDW data sources with GO, and the semantic similarity table to record similarity scores derived from any pair of GO terms. Based on the two tables, multifarious ways for semantic search are provided and the corresponding entries in heterogeneous biological databases in semantic terms can be expediently searched.

引用

页码：365 / 370

页数：6

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