Transcript Open Discovery Workflow Meets Oracle 10g

Kensington Oracle Edition:
Open Discovery Workflow Meets
Oracle 10g
Professor Yike Guo
Open Discovery Workflow :
Information
Discovery
Discovery Workflow
Real Time Data Integration
Discovery Services
Literature
Databases
Operational
Data
Dynamic Application
Integration
Intellectual Property Management
Using Distributed Resources
Images
Instrument
Data
KDE Platform Architecture
KDE Applications:
Open Discovery
Workflow Model
End-user applications
and user interface
allowing scientists to
construct and drive
knowledge discovery
activities
KDE Middleware:
Managing , executing
and deploying discovery
plans (workflows) for
distributed knowledge
discovery and access to
distributed resources
and services
SDK Model
Web Service Support
Infrastructure
KDE Discovery
Services:
Distributed databases,
compute servers and
scientific devices.
KOE : Open Discovery Workflow
for Oracle 10g
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Kensington : A discovery workflow environment that interfaces with Oracle’s
Data/Text Mining and Life Science components
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Oracle 10g : The most powerful foundation for grid-based informatics
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Access Oracle 10g analytical function without coding
Data Query via SQL or workflow construction
Visualization and reporting discovery results/process
Deploying reusable discovery process as Web services
Scalability : Large scale data analysis with grid support
Performance : Speed and quality
Reliability : Persistence, security and industry standard
Kensington + Oracle 10g : Enterprise Discovery Information Framework
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Fulfilling complex integrative discovery tasks with ease
Organizing large discovery projects
Turning your database into a knowledge base with immediate gain
KDE Oracle Edition Architecture
10g
ODM & Text
Oracle Workflow example
Kensington
Components
Oracle
Components
Connect icons to form uniform workflow
“In Oracle” Processing
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Drag-and-drop used to create symbolic links to database tables
A transparent process brings the data into the system, as if it were a
normal table node
A complex SQL query can be built via a workflow for pre-processing
 Such a query workflow is transparently executed within Oracle
 Oracle data/text mining, statistic functions, life science components are
accessible through KOE workflow and running transparently within Oracle
 Building complex discovery applications WITHOUT CODING
Oracle 10g
Kensington
Kensington
AnalyticalWorkflow
Server
Engine
ODM and Oracle Text
An Application Example
(The Lymphoma Example)
Accuracy
Testing
Choose A
Build
Choose
algorithm/
parameter
View
Model
Feature
Selection
Generate
and Compile
Code
Sequence
Search
Kensington Workflow
Pre-processing
Naïve Bayes Mining
and Evaluation
Adaptive NB Mining
and Evaluation
Naïve Bayes Mining,
Evaluation & BLAST
Apply Classification
Rich visualizers to view results
Visualize preprocessed data
Select attribute
importance visually
Browse classification
models
Evaluate with
ROC plot
Evaluate the class
distribution
Inspect the
sequence alignment
Summary
 "Empowered by Oracle Database 10g, InforSense's Open
Discovery Workflow technology has its most powerful execution
engine", commented Prof. Yike Guo, CEO of InforSense. "Using
InforSense's discovery workflows built upon Oracle's data
mining, text mining and R&D database functionality, researchers
and organizations can now automate large scale and complex
knowledge discovery activities with high performance and
reliability.“
 “Integrating Kensington Discovery Platform with Oracle Database
10g provides life science researchers with a flexible workflow
solution for the intuitive integration of analytics from InforSense
and Oracle”, said Dr. Susie Stephens, Life Sciences Product
Manager, Oracle Corporation.