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

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Presentation on theme: "1 Semantic Data Management Xavier Lopez, Ph.D., Director, Spatial & Semantic Technologies."— Presentation transcript:

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

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

3 3 Vision of Semantically Linked Data The Network of Collaborative Knowledge A web of data that can be intelligently processed by machines delivering an environment that: Intelligent Solves Problems Relevant Answers Questions Contextual Easily Searchable Interconnected Let Information follow you “The next generation of information workers will expect a highly visual, connected, contextual information workplace they can take anywhere.” - Forrester

4 4 Linked Open Data Cloud (2008)

5 5 Linked Open Data Cloud (2010)

6 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 7 “Concept” driven Applications Location Services Simple Features GeoRaster Topology Networks Gazateers … National Map Ontologies Emergency Response DoD National Map Core Datasets State & Local Government SpatialData GeographicNames RasterData Data Integration National Map schemas Geographic names Temporal Naïve Geography … Application Ontologies

8 8 CIM in a Federation of Ontologies

9 9 Dublin Core in RDF (Ariadne)

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

11 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 12 Metadata of documents

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

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

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

16 16 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 Oracle 11 g RDF/OWL Graph Data Management Structured DBMS, Unstructured, Spatial, RSS, email, Documents

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

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

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

20 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 3 rd party tools partners Leverages Oracle Partitioning and Advanced Compression. RAC is also supported. Semantics customers expect to deploy very large servers

21 21 Upcoming Events

22 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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