Semantic Search among Heterogeneous Biological Databases Based on Gene Ontology

作     者：Shun-Liang CAO, Lei QIN1, Wei-Zhong HE1, Yang ZHONG2, Yang-Yong ZHU, and Yi-Xue LI1,3* Department of Computing and Information Technology, Fudan University, Shanghai 200433, China Shanghai Center for Bioinformation 1 Technology, Shanghai 200235, China School of Life Sciences, Fudan University, Shanghai 200433, China Bioinformation Center of Shanghai Institutes for Biological Sciences, the Chinese Academy of Sciences, Shanghai 200031, China 

作者机构：Department of Computing and Information Technology Fudan University Shanghai 200433 China Shanghai Center for Bioinformation Technology Shanghai 200235 China School of Life Sciences Fudan University Shanghai 200433 China Bioinformation Center of Shanghai Institutes for Biological Sciences the Chinese Academy of Sciences Shanghai 200031 China 

出 版 物：《Acta Biochimica et Biophysica Sinica》 (生物化学与生物物理学报(英文版))

年 卷 期：2004年第36卷第5期

页      面：365-370页

核心收录：

学科分类：0710[理学-生物学] 0831[工学-生物医学工程（可授工学、理学、医学学位）] 07[理学] 071007[理学-遗传学] 0703[理学-化学] 

基　　金：This work was supported by the grants from the National High Technology and Development Program of China (No. 2002AA231011 No.2002AA231041) the National Key Project for Basic Research (No.2002CB512801) and the Major Project of Shanghai Commissio 

主　　题：Gene Ontology semantic search BioDW 

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.