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Semantic Data Management

Explore the evolution of Semantic Data Management for the intelligent processing of interconnected data, facilitating a seamless information workplace experience that adapts to user needs. Learn about Semantic Technologies and how they enhance data integration, navigation, and analysis across various domains.

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Semantic Data Management

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  1. Semantic Data Management Xavier Lopez, Ph.D., Director, Spatial & Semantic Technologies

  2. The Web is about links… The Semantic Web is about the relationships in those links Dan Brickley

  3. Vision of Semantically Linked DataThe Network of Collaborative Knowledge A web of data that can be intelligently processed by machines delivering an environment that: “The next generation of information workers will expect a highly visual, connected, contextual information workplace they can take anywhere.” - Forrester

  4. Linked Open Data Cloud (2008)

  5. Linked Open Data Cloud (2010)

  6. Linked Open Data & Location Services • Create consolidated “single” views across Web Map Server Endpoints • Reconcile differences in data semantics so that they can all “talk”and interoperate; • Resolving semantic discrepancies across databases, gazetteer and applications • Integrate full breath of enterprise content (structured, spatial, email, documents, web services)

  7. Simple Features GeoRaster Topology Networks Gazateers … Geographic Names Spatial Data Raster Data “Concept” driven ApplicationsLocation Services Application Ontologies Emergency Response National Map Core Datasets National Map Ontologies DoD • Data Integration • National Map schemas • Geographic names • Temporal • Naïve Geography • … State & Local Government

  8. CIM in a Federation of Ontologies

  9. Dublin Core in RDF (Ariadne)

  10. RDF User Query & results Data Ontologies Structured & Unstructured Data Sources Linking Data Resources

  11. It’s Not Just about “Linking” • Integrate domains of knowledge through common vocabularies (ie SKOS) • Manage relationships between collections of images and associated metadata • RDF as flexible and extensible data model supports powerful search and end-user discovery of related content • Rich platform for data integration, data repurposing, and better quality control and classification Semantic Aggregation & Navigation of Data

  12. Metadata of documents

  13. Pathological Change Agent involves involves Neuronal Property inhibits Pathological Agent Neuron inhibits inhibits has Drug is_located_in Receptor Compartment is_located_in Channel Relational Database to Ontological Mapping Courtesy: SenseLab, Yale University

  14. Contextually Driving Applications Connections Connections People My View Information Communities Connections Delivering relevant, contextual content based on relationships, profile & activity

  15. Social Semantic Enterprise Semantic Tagging Island: Java • Concept definitions with unique meaning • Language independent Semantic Tagging or Relational Navigation • Recommendations • Find related content & groups by navigating connected entities to Semantic Search John Chambers or Cisco CEO • Search for concepts • Return semantically related results via Social Connectivity through Semantic Enablement

  16. Structured DBMS, Unstructured, Spatial, RSS, email, Documents Oracle 11g RDF/OWL Graph Data Management • Storage & Loading • Native W3C RDF graph data store • Fast Bulk, batch & Incremental load • Query • SQL: SEM_MATCH graph pattern query • SPARQL: supported via Jena plug-in • Reasoning • RDF, OWL Prime, RDF++ semantic rules • Forward chaining inference model • User defined rule base • Scalability • Scales to billions of triples • Partitioning, RAC, Adv. Compression • Standards & Interoperability • Aligned with W3C specifications • Supported by leading semantic tools

  17. Semantic Technologies Adopters Hutchinson 3G Austria Defense/Intelligence Telecomm Education Life Sciences 11g Reference Publishing Clinical Medicine 11g Reference Thomson Reuters 11g Reference 11g Reference 11g Reference

  18. Archives Discovery Workflow Ontology Engineering Modeling Process Information Extraction Categorization, Feature/term Extraction RDF/OWL OWL Ontologies Processed Document Collection Web Resources Domain Specific Knowledge Base News, Email, RSS SQL/SPARQL Query Content Mgmt. Systems Explore Analyst Browsing, Presentation, Reporting, Visualization, Query Spatial Data

  19. Extraction, Modeling, Reasoning & Discovery Transform & Edit Tools Load, Query & Inference Applications & AnalysisTools Transaction Systems • RDF/OWL Data Management • SQL & SPARQL Query • Inferencing • Semantic Rules • Scalability & Security • Semantic Indexing • OBIEE, Analytics • Graph VisualizationSocial Network Analysis • Metadata Registry • Faceted Search • Entity Extraction & Transform • Ontology Engineering • Categorization • Custom Scripting Unstructured Content RSS, email Other Data Formats Data Sources Partner Tools Partner/Oracle Tools

  20. Why is Oracle Spatial unique in Semantics Data Management? • Oracle 11g is the only commercial database with native RDF/OWL semantics capability. • Can readily scale to ultra-large repositories (+1 billion) • Growing ecosystem of 3rd party tools partners • Leverages Oracle Partitioning and Advanced Compression. RAC is also supported. • Semantics customers expect to deploy very large servers

  21. Upcoming Events

  22. Contacts and Resources: • Product Management: Xavier.Lopez@oracle.com • White papers, documentation, discussion forum, sample code, downloads, press releases: • Google: “Oracle RDF” • http://www.oracle.com/technology/tech/semantic_technologies/index.html

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