Introduction to the Semantic Discovery SystemMartin FlanaganJuly 7, 20072Semantic Discovery SystemA key R&D bottleneck is the inability of non technical researchers to ask sophisticated questions of their data –without I.T. helpSDS is a leading Semantic Web technology focused upon unlocking the value in RDBMS and other ‘legacy’ data –as well as the webThe Semantic Web may remove this bottleneck –the researcher can phrase questions directly and with a very fast turnaround timeSDS uses an ontology-driven approach to query over federated data sources such that very sophisticated questions can be directly phrased + answered without programming3Assay/Compound example4Assay/Compound data sources5Assay spreadsheet6Assay/Compound ontology7SDS Desktop Explorer (1)8SDS Desktop Explorer (2)9SDS Desktop Explorer (3)10SDS Desktop Explorer (4)12SDS OntologiesAccurately describing single domains (OWL) allows valid cross-silo queriesAssay/Compound exampleShared controlled vocabularies lead to higher data qualityUsing SDS MediatorsExposing higher level abstractions as semantic web servicesPublishing SDS Mediators through Web Services, SPARQL or JDBC/ODBCIntegration with third-party ontology tools like TopQuadrant TopBraid14ClientsDriversSPARQLFormattersTranslatorsRMISocketOQLODLRDFHTMLXMLOptimizerExecution EngineSDS-SDSJDBCHTTPOracleExcelMapperSDSUsersDataSDS ServerWSNCBISOAPJDBCText15SummaryBenefitsSDS connects any and all distributed data (Web, RDBMS …)And makes it appear to be locally present for queryThis means up to the minute access to all relevant dataFind out moreSDS is an immediately downloadable Semantic Query Platform with a 10+ year provenanceWe welcome collaboration with the Academic, Open Source and Commercial CommunitiesOur background and usage of SDS has been strongly in Life Science Drug R&Dwww.SemanticDiscoverySystems.com