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LinkHub: A Semantic Web System that facilitates cross-database queries and information retrieval in proteomics (RRID:SCR_001844)Copy Citation Copied
URL: http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pubmed&pubmedid=17493288
Proper Citation: LinkHub: A Semantic Web System that facilitates cross-database queries and information retrieval in proteomics (RRID:SCR_001844)
Description: THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. LinkHub is a software system using Semantic Web RDF that manages the graph of identifier relationships and allows exploration with a variety of interfaces. It leverages Semantic Web standards-based integrated data to provide novel information retrieval to identifier-related documents through relational graph queries, simplifies and manages connections to major hubs such as UniProt, and provides useful interactive and query interfaces for exploring the integrated data. For efficiency, it is also provided with relational-database access and translation between the relational and RDF versions. LinkHub is practically useful in creating small, local hubs on common topics and then connecting these to major portals in a federated architecture; LinkHub was used to establish such a relationship between UniProt and the North East Structural Genomics Consortium. LinkHub also facilitates queries and access to information and documents related to identifiers spread across multiple databases, acting as connecting glue between different identifier spaces. LinkHub is available at hub.gersteinlab.org and hub.nesg.org with supplement, database models and full-source code. Sponsors: Funding for this work comes from NIH/NIGMS grant P50 GM62413-01, NIH grant K25 HG02378, and NSF grant DBI-0135442.
Synonyms: LinkHub
Resource Type: database, data or information resource
Defining Citation: PMID:17493288
Keywords: genomics, graph query, identifier relationships, relational-database, software system
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