Corporate PPT Template

1
This presentation is for informational purposes
only and may not be incorporated into a contract
or agreement.
2
RDF Data Management In Oracle10g Xavier
Lopez Director, Oracle Server Technologies Sourip
riya DasConsultant Member of Technical
Staff Oracle Server Technologies
3
Overview

• Semantic Applications Opportunity
• RDF Technology Background
• RDF Data Model, Query, Rulebases

4
Semantic Technology Opportunities

• Unique Business Opportunities
• Life Sciences pathway analysis, protein
  interaction
• Web service discovery, FOAFs, blogs
• eBusiness grid resources, app integration, BI
• Intelligence social networks, asset tracking
• Applying Oracle10g to the Challenge
• Scalability models comprising millions of graphs
• Security Web-based, trust, reification
• Transaction, versioning, performance
• Interoperability Integrating multiple networks
• Exploit expressive power of SQL, XQuery

5
Semantic Technologies can

• Enable scalable reasoning over uncertain/incomplet
  e knowledge
• Help design, development and deployment of
  large-scale ontologies
• Support semantic-directed knowledge discovery to
  complement data-mining
• Support flexible network-based reasoning and
  decision support services
• Trace provenance from initial data to information
  and knowledge structures

6
Example Drug Discovery Inferencing
7
Military / Intelligence Apps

• Semantic Web and Ontology based systems widely
  viewed for complex Grid applications
• RDF for knowledge representation
• Inference engines emphasize patterns
• Very high focus on Metadata
• Spatial and Temporal dynamics key
• Low Level integration transformed into high level
  behavior based interoperability

8
Background Concepts

• Resource Description Framework (RDF)

9
What is RDF?

• W3Cs metadata model for Graph Models
• Document metadata for digital libraries,
  content rating, site maps, etc.
• Simple Data Model
• Directed labeled graph subject/property/object
  (triples)
• Nodes are called resources and links
  properties
• Leverages syntactic extensibility and modularity
  of XML namespaces
• Why is this important?
• Enables matching of graphs from multiple
  domains (e.g. immunology, drug design)
• RDF is becoming the graph standard for Life
  Sciences, Health Care, Defense, Intelligence, and
  semantic web

10
Semantic Aggregation Data Sources
HOMEPAGE
PERSON
Affiliation
Related Web Pages
Translations
PROJECT
Professional Associations
Abstract
PAPER
Funding Authority
Citations
ORGANIZATION
11
RDF Support in Oracle10g R2
12
Oracle 10g RDF Approach

• Extended existing Oracle10g network (graph) data
  model (NDM) to support RDF object types
• Support for user-defined rules, rulebases, rules
  indexes
• RDF data model with (user-defined) rules to
  support inferencing
• Enable combined SQL query of enterprise database
  and RDF graphs
• Support large, complex graphs (10s of millions
  statements)
• Easily extensible by 3rd party tools/apps

13
Some Oracle10g RDF Partners

• Cerebra
• Cognia
• Ordnance Survey
• Siderean
• Tom Sawyer
• Top Quadrant

14
Oracle10g Value PropositionSecure RDF Data
Management
SOA Mediaiton Services

• Highly scalable
• Single source of truth
• Strong Security
• Real-time information updates
• Integrate semantic information from multiple
  sources
• Enhanced Business and Operational Intelligence

Ontology Engineering
ETL
Ontology-based Search
Concept Mapping
Inferencing Engines