Publication | Open Access
Achieving Evolvable Web-Database Bioscience Applications Using the EAV/CR Framework: Recent Advances
61
Citations
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References
2003
Year
EngineeringSemantic TechnologyEav/cr FrameworkMetadataSemantic WebE-scienceOntology-based Data IntegrationInformation RetrievalData ScienceManagementSchema MaintenanceData IntegrationData ManagementBiological DataRecent AdvancesBiological DatabaseAutomatic GenerationSemantic IntegrationKnowledge DiscoveryDatabase TechnologyBiomedical Data IntegrationMetadata SchemaComputational BiologySystems BiologyData ModelingSemantic Interoperability
The EAV/CR framework, designed for database support of rapidly evolving scientific domains, utilizes metadata to facilitate schema maintenance and automatic generation of Web-enabled browsing interfaces to the data. EAV/CR is used in SenseLab, a neuroscience database that is part of the national Human Brain Project. This report describes various enhancements to the framework. These include (1) the ability to create "portals" that present different subsets of the schema to users with a particular research focus, (2) a generic XML-based protocol to assist data extraction and population of the database by external agents, (3) a limited form of ad hoc data query, and (4) semantic descriptors for interclass relationships and links to controlled vocabularies such as the UMLS.
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