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Semantic Search among Heterogeneous Biological Databases Based on Gene Ontology

         

摘要

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

著录项

  • 来源
    《生物化学与生物物理学报:英文版》 |2004年第5期|365-370|共6页
  • 作者单位

    Department of Computing and lnformation Technology,Fudan University,Shanghai 200433,China;

    Shanghai Center for Bioinformation Technology,Shanghai 200235,China;

    Shanghai Center for Bioinformation Technology,Shanghai 200235,China;

    School of Life Sciences,Fudan University,Shanghai 200433,China;

    Department of Computing and lnformation Technology,Fudan University,Shanghai 200433,China;

    Department of Computing and lnformation Technology,Fudan University,Shanghai 200433,China;

    Bioinformation Center of Shanghai Institutesfor Biological Sciences,the Chinese Academy of Sciences,Shanghai 200031,China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 计算技术、计算机技术;
  • 关键词

    Gene Ontology; semantic search; BioDW;

    机译:基因本体;语义搜索;BioDW;
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