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Integration of various omics databases is a fundamental approach for comprehensive understanding of life phenomena.  Scientists&#x2019; Networking System (SciNetS) is a Semantic Web-based data repository that realises database integration by collecting metadata of databases described as a set of triples consisting of two bio-items such as gene and ontology terms and a semantically defined relationship between these bio-items.  These triples are curated from various life-sciences databases including gene-publication relationships manually curated from MEDLINE and gene-phenotype relationships extracted from published databases by computer programs.  SciNetS internally forms a metadata network by maximally concatenating triples.&#xd;&#xa;&#xd;&#xa;SciNetS Search realizes a cross-search over the integrated databases by traversing the metadata network managed by SciNetS.  SciNetS Search allows a user to discover bio-items included in the ontological category specified by the user.  The results include bio-items not only having a user&#x2019;s keyword but also semantically inferred from these bio-items using metadata relationships, and are ranked using statistical scores computed on the basis of the metadata network.  SciNetS Search is available via a user&#x2019;s web browser and provides search service against over 30 million bio-items of 100 thousand categories and 100 million relationships curated from over 100 public omics databases of various species including human, mouse, rice and _Arabidopsis_

SciNetS Search : Inference Search over an Integrated Life-sciences Database Based on the Semantic Web