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Managing & Integrating Enterprise Data with Semantic Technologies

Managing & Integrating Enterprise Data with Semantic Technologies. Susie Stephens Principal Product Manager, Oracle susie.stephens@oracle.com. The Semantic Web is Maturing. Mature standards Approx. 5m RDF files; 15k OWL files Increasing adoption by enterprises Many open source tools

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Managing & Integrating Enterprise Data with Semantic Technologies

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  1. Managing & Integrating Enterprise Data with Semantic Technologies Susie Stephens Principal Product Manager, Oracle susie.stephens@oracle.com

  2. The Semantic Web is Maturing • Mature standards • Approx. 5m RDF files; 15k OWL files • Increasing adoption by enterprises • Many open source tools • Commercial tools

  3. Achieving the Vision Source: J Web Semantics (in press)

  4. A Hybrid World • Relational, XML, and RDF data • Triple stores and on the fly mappings to RDF

  5. Triple Stores • Many open source triple stores • One enterprise commercial triple store

  6. P1 S1 O1 P2 S2 P2 O2 Oracle RDF Data Model • Support for RDF and RDFS • Object-relational implementation • Subjects and objects are re-used • Links represent complete RDF triples • RDF Triples: • {S1, P1, O1} • {S1, P2, O2} • {S2, P2, O2}

  7. SPARQL-like Query Capability • A table function allows a graph query to be embedded in a SQL query • Searches for an arbitrary pattern against the RDF data • Includes inferencing based on RDF, RDFS, and user-defined rules • Automatically resolve multiple representations of the same point in value space, e.g. 1 vs. 1.00

  8. Enterprise Functionality • Scalability: Real Application Clusters (RAC) • Security: Encryption, Authentication, Data Guard • Performant: multi-threaded, parallel processing, memory management, indexed, etc. • Multi-Media: Images, Text, etc. (units in seconds) Source: VLDB 2005 - Performance testing with UniProt

  9. Image Search • Map relationships to terms using RDF triples • ‘Mandible’, sameAs’, ‘Jaw’ • ‘Molar’, ‘partOf’, ‘Jaw’ • “Find me all DICOM images that contain the term ‘Jaw’”

  10. Text Search • Map relationships to terms using RDF triples • ‘Mandible’, sameAs’, ‘Jaw’ • ‘Molar’, ‘partOf’, ‘Jaw’ • “Find me all papers that contain the term ‘Jaw’”

  11. Data Integration • SQL / RDBMS • Concise, efficient transactions • Transaction metadata is embedded or implicit in the application or database schema • XQuery / XML • Transaction across organizational boundaries • XML wraps the metadata about the transaction around the data • SPARQL / RDF • Information sharing with ultimate flexibility • Enables semantics as well as syntax to be embedded in documents

  12. Mappings to RDF • Relational • XML

  13. Adapting SQL Databases Source: Tim Berners-Lee, Bio-IT World 2005

  14. SQL Component Table EMPLOYEE Column EMPLOYEE. EMPID Row with EMPID=110 NAME cell in that row URI relative to database EMPLOYEE/schema#EMPLOYEE EMPLOYEE/schema#empid EMPLOYEE/rowBy/empid/110 EMPLOYEE/rowBy/empid/110#name Approach for RDB to RDF Mappings Acme Employee Table

  15. XML to RDF Mappings Source: Tim Berners-Lee, Bio-IT World 2005

  16. Situation Awareness Architecture Source: University of Texas Health Science Center

  17. Semantic Web Stack Source: Tim Berners-Lee, Bio-IT World 2005

  18. A little semantics goes a long way – Jim Hendler, University of Maryland

  19. Enterprise Applications • Drug target discovery • Knowledge discovery in translational medicine • Government geo-spatial data management • Resource optimization in intelligence • Emergency response planning • Medical record management • Web-based knowledge discovery • Web publishing • Automotive design

  20. Drug Safety Determination Image Source: IEEE Intelligent Systems, 2006

  21. Drug Safety Determination Image Source: IEEE Intelligent Systems

  22. Initiatives: W3C’s HCLSIG

  23. Summary • Adoption of Semantic Web technologies is accelerating • The Semantic Web offers heterogeneous data integration using explicit semantics • It will continue to be hybrid world • Legacy data can be incorporated into the Semantic Web • Oracle has a scalable, secure, highly-available RDF Data Model

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