June 21, 2006

1
Government Information Sharing and
Interoperability via Data Services and SOA
Rob Cardwell CTO, MetaMatrix rcardwell _at_
metamatrix.com

• June 21, 2006

2
Agenda

• MetaMatrix Architectural Fit
• MetaMatrix Products Capabilities
• Achieving Information Sharing
• Service Enabling Data Assets (Data Services)
• Resolving Semantics
• Enabling Enterprise (Deep) Search
• Customers
• Conclusions

3
MetaMatrix Enterprise Data Services

• Project-level or Enterprise-wide data services
  layer
• Integrated views of data from multiple sources
• Metadata-driven
• Optimized performance
• Interoperable security
• Complements BI, ETL, ESB/EAI, DQ, CDI, Search

4
MetaMatrix Fit in FEA DRM Data Sharing

• DRM Version 2 Data Access Services
• Context Awareness Services
• Structural Awareness Services
• Transactional Services
• Data Query Services
• Content Search and Discovery Services
• Retrieval Services
• Subscription Services
• Notification Services

5
Data Service Layer in SOA
Client Process Applications
App
App
App
App
App
App
ESB
Business Process Services
Business Services
Message Services (ESB)
Data Service
Data Service
Data Service
Data Service
Data Service
Data Service
Data Sources
6
Agenda

• MetaMatrix Architectural Fit
• MetaMatrix Products Capabilities
• Achieving Information Sharing
• Service Enabling Data Assets (Data Services)
• Resolving Semantics
• Enabling Enterprise (Deep) Search
• Customers
• Conclusions

7
MetaMatrix Products
Information Consumers
MetaMatrix Designer - Design and deploy data
services
Web Svc
XML
RDBMS
Packaged Connectors
MetaMatrix Catalog
IMS IDMS
Siebel, SAP
Oracle Apps
8
MetaMatrix Approach to Data Services
Designing data services
Reusable, Integrated Data Objects
Exposed Data Services
Enterprise Information Sources (EIS)
Information Consumers
Web Services,Business Processes
services
warehouses
EAI, Data warehouses
databases
Logistics
Packaged Apps
spreadsheets
xml
Custom Apps
geo-spatial
Reporting, Analytics
Intelligence
rich media

9
MetaMatrix Product Lines

• MetaMatrix Enterprise
• Web services SQL
• Modeling enterprise data
• Scalable deployment server
• Metadata management
• Application/legacy connectors

MetaMatrix Enterprise
Enterprise

• MetaMatrix Dimension
• Web service-enablement of data sources
• Expose business views as XML
• Lightweight modeling rapid integration
• Standard WAR-based deployment

MetaMatrix Dimension
Project, Node
10
Information Exchange Architecture
Search Engine Index / Metadata Catalog
Master Data Person / Facility / Vehicle
Ontology Mgmt / Reasoning
Mediation XSLT, Multi-source




Enterprise Service Bus
State/Local

• Security/Authentication
• Operations Management
• Error / Exception Management

• Orchestration
• Encryption
• High Availability

• Data Access Services
• SQL, Web Service/XML
• Staged Data (optional)

MetaMatrix Dimension
MetaMatrix Enterprise
SOA Apps
Stage
State/Local
Federal Agencies
11
MetaMatrix Dimension Differentiators

• Dimension adds the following capabilities to an
  ESB
• Rich, advisor-based, model-driven design tool
• Ability to leverage data models and manage
  metadata
• Clear way to visualize and define mappings
  between non-XML sources and XML views (even for
  complex industry schemas NIEM, GJXDM, HL7,
  XBRL)
• Ability to do SQL-based transformations, not just
  XSLT (including multi-source, complex joins and
  unions)
• Query planner/optimizer that makes intelligent
  decisions about whether to execute
  transformations at the source vs. on the bus
• Automated semantic matching generation of
  transformations
• Data Services to connect ESBs to Enterprise Data

12
Agenda

• MetaMatrix Architectural Fit
• MetaMatrix Products Capabilities
• Achieving Information Sharing
• Service Enabling Data Assets (Data Services)
• Resolving Semantics
• Enabling Enterprise (Deep) Search
• Customers
• Conclusions

13
Mediation XML From Non-XML Sources
Target Fixed (complex) XML Schema Need Data
complying to schemas vocabulary
Source Data Sources containing Information to
integrate
Text File
T
MetaMatrix Mapping from Data to XML
14
Map Data Sources to XML Deploy
MetaMatrix Designer for XML-centric Data
Services

• Model XML Docs, Schemas
• Build XML Doc. models from XML Schemas
• Map XML Doc. models to other data models
• Enable data access via XML

15
Rapid Web Service-Enablement

• Dimension Designer
• Model-based
• Expose multiple sources, integrated
• Expose business views of data
• Output integration container (vdb)

• Standard WAR file bundling
• Integration container
• Query engine
• Web service fully defined

Web Svc App (WAR)
MetaMatrix Query Engine

• Deploy WAR file to Web Server
• Executable Web service
• Access via SOAP
• Data exposed using standard vocabulary

Web Server
16
MetaMatrix Dimension Modeling

• Rapid design deployment of Web Services
• Expose integrated data as XML-based business
  views
• Deployment of Web Services as standard Web apps
• Runtime execution optimized through use of
  MetaMatrix Query Engine

Dimension Models
Web Server
Data Sources
Business Views
Web Service Operations
Source Models
Deploy
Import
Map
Model
ltXMLgt
ltXMLgt
WAR
as
to
to
ltXMLgt
WSDL
XSD
17
Dimension Choose your approach

• Rapid design deployment of Web Services
• Expose integrated data as XML-based business
  views
• Deployment of Web Services as standard Web apps
• Runtime execution optimized through use of
  MetaMatrix Query Engine

Dimension Models
Start Here?
Start Here?
18
Secure Access Accredited

• Username/Password Logon
• Connector connects with same ID for all queries
• Optional Integrated with existing
  authentication system

MetaMatrix
Data Source
Client App
Connector
username password
username password
Membership Provider
authenticates

• Trusted Payload Logon
• Connector uses different credentials per
  connection, per query
• Optional Integrated with existing
  authentication system

source- specific
Data Source
MetaMatrix
Connector
Client App
trusted payload
trusted payload
logon info
trusted payload
payload
payload
Optionally accesses source-specific information
Authentication Service
Membership Provider
authenticates, generates payload
authenticates, optionally modifies payload
19
Agenda

• MetaMatrix Architectural Fit
• MetaMatrix Products Capabilities
• Achieving Information Sharing
• Service Enabling Data Assets (Data Services)
• Resolving Semantics
• Enabling Enterprise (Deep) Search
• Customers
• Conclusions

20
COI Data Dictionary
Business Intelligence Applications
Search Applications
Web Services
ODBC/JDBC
JDBC
SOAP

• Application views of information
• Relational, XML

XML Document
ltagt
ltbgt

lt/bgt
lt/agt
T
T
T
C2, Logistics, Intelligence,

• Logical Data Model
• Agency or COI-specific
• Rationalize, harmonize, mediate

T
T
T

• Authoritative Sources
• Mapped to logical

Multiple Internal/External Information Sources
21
Semantic Matching - example
Ontology Sex
semantically related to Gender

• Semantic Data Services
• key component of information sharing and
  interoperability programs
• automated semantic mapping to aid domain experts
  in quickly reconciling disparate schemas and
  vocabularies
• more rapid deployment of a mediation solution
• MatchIt
• an extensible ontology-driven tool
• variety of algorithms for determining semantic
  equivalence
• discovers similarities between elements of
  heterogeneous data, automatically exposing
  potential semantic matches.
• matches elements of data sources to target
  schemas of Data Services, such as TWPDES, GJXDM,
  NIEM, C2IEDM, HL7

Matched (Confidence of 90)
Gender ID
Semantic Data Services
Person Sex Code
FBI
CBP
NYC
NY
NJ
Data Sources
22
Agenda

• MetaMatrix Architectural Fit
• MetaMatrix Products Capabilities
• Achieving Information Sharing
• Service Enabling Data Assets (Data Services)
• Resolving Semantics
• Enabling Enterprise (Deep) Search
• Customers
• Conclusions

23
Person Search - Conceptual Use Case
Enterprise Information Addresses Organizations Af
filiations Accounts Transactions Call
History Agreements Policies
Relationships inherent in the search results link
to enterprise apps, databases, and other
repositories
24
MetaMatrix and Google
Google Search Index (GSA)
ContentRepository
ContentRepository
2
Text Search w/ filtering criteria (optional)
. . .
ContentRepository
Structured Data crawling index build
Select drill down to discover record details,
related data links, metadata
3
1
RDBMS
HTML I/F
Field name look-up in Business Data Dictionary
HTML I/F
JDBC
Connector Framework
MetaMatrixServer
ERP, CRM
Legacy Systems
4
Navigate to related data from Search UI
Custom Application
25
Agenda

• MetaMatrix Architectural Fit
• MetaMatrix Products Capabilities
• Achieving Information Sharing
• Service Enabling Data Assets (Data Services)
• Data Service Design Approaches
• Customers
• Conclusions

26
Sample Customers/Awards

• Government
• DISA Global Combat Support Systems (GCSS)
• Fort Meade
• USTRANSCOM
• USJFCOM
• CIA/In-Q-Tel
• SPAWAR CIPC
• Mitre (various DoD initiatives)
• Commercial
• Merrill Lynch
• Credit Suisse First Boston
• SAP
• Motorola

27
Conclusions

• MetaMatrix provides best-of-breed components for
  rapidly deploying data services for information
  sharing
• MetaMatrix is a proven entity within the
  Intelligence agencies, DISA, other DoD agencies,
  and commercial organizations
• Unique value-add for mapping existing data assets
  to vocabulary standards adopted by COIs
• Agencies can avoid building MetaMatrix-like
  functionality via custom-coding, instead deploy
  solutions more quickly
• MetaMatrix provides an agile infrastructure for
  information sharing, built on SOA standards

28
Government Information Sharing and
Interoperability via Data Services and SOA
Rob Cardwell CTO, MetaMatrix rcardwell _at_
metamatrix.com

• June 21, 2006