Semantic search among heterogeneous biological databases based on gene ontology
Semantic search among heterogeneous biological databases based on gene ontology
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DOI：
10.1093/abbs/36.5.365
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发表时间：
2004-05-01
影响因子：
3.7
通讯作者：
Li, YX
中科院分区：
文献类型：
--
作者：
Cao, SL;Qin, L;Li, YX
语义搜索是异质生物数据库集成的关键问题。本文提出了一种在集成生物数据仓库BioDW中实现语义搜索的方法。提出了两个表：DB2GO表，用于将来自BioDW数据源的基因本体(GO)注释条目与GO关联，以及语义相似度表，用于记录从任何GO术语对获得的相似度分数。基于这两个表，提供了多种语义搜索方式，可以方便地搜索到语义词语在异质生物数据库中的对应条目。
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.