Model-based Data Engineering for Homeland Security Applications Dr. Andreas Tolk College of Engineering and Technology Old Dominion University
Model-based Data Engineering for Homeland Security 2 Education Hypothesis: Homeland Security Applications require • A New Education Paradigm for System Engineers • Focusing on aligned contribution of solutions, which –Have been independently developed and –Are based on heterogeneous Infrastructures • Model-based Data Engineering is the first step towards required new Engineering Principles © ODU/VMASC 2008 HLS Education Summit University of Maryland, March 2008
Model-based Data Engineering for Homeland Security 3 Challenge of Homeland Security • Different supporting nations – Different supporting organizations (in the US 22) • Existing information technology • Supporting established business and organization rules • Organization and/or system specific data models (or XML tag sets) • Objective – Aligned multi-organization processes – Federation of heterogeneous IT solutions – Minimal changes to systems © ODU/VMASC 2008 HLS Education Summit University of Maryland, March 2008
Model-based Data Engineering for Homeland Security 4 Proposed Conceptual/Technical Solution • Model-based Data Engineering – Trading Data as a valuable resource – Applying engineering methods – Using a common reference model representing the understanding of information within the community of interest • Based on International Recommendations – NATO Code of Best for C 2 Assessment – Adopted as a Standard by US OASD(NII) – Freely available by http: //www. dodccrp. org © ODU/VMASC 2008 HLS Education Summit University of Maryland, March 2008
Model-based Data Engineering for Homeland Security 5 Data Engineering • Data Administration – Which data is where – Formats, Interfaces, Technical accessibility – Security concerns, ownership • Data Management – Defining entities, attributes, relations – Standardized Data Elements • Data Alignment – Is the data needed on the receiving side available on the sending side • Data Transformation – Technical process of data mediation – Transforming data from sources into data needed on the consuming side Model-based Data Engineering uses a Common Reference Model (data understanding within the Community of Interest) to facilitate this tasks © ODU/VMASC 2008 HLS Education Summit University of Maryland, March 2008
Model-based Data Engineering for Homeland Security 6 Level LCIM 6 Modeling / Abstraction Level 5 Dynamic Interoperability Level 4 Pragmatic Interoperability Level 3 Semantic Interoperability Simulation / Implementation Level 2 Syntactic Interoperability Level 1 Technical Interoperability Network / Connectivity © ODU/VMASC 2008 Level 0 No Interoperability Increasing Capability for Interoperation Conceptual Interoperability HLS Education Summit University of Maryland, March 2008
Model-based Data Engineering for Homeland Security DHS 1 ORG 2 2 3 6 5 4 © ODU/VMASC 2008 CRM ORG 3 7 Top-Down Approach 1. Identify organizations contributing towards a common operational goal 2. Conceptual model of participation comes from doctrine 3. Specific data vocabulary supporting doctrine from business rules Bottom-Up Approach 4. Identify systems and data models supporting organizations 5. Apply Model-Based Data Engineering to allow common interchange of systems through CRM 6. Adapt Atomic, Composite, and Aggregate access from business rules- derived vocabulary to CRM IT Systems can access CRM using Atomic, Composite or Aggregate Services HLS Education Summit University of Maryland, March 2008
Model-based Data Engineering for Homeland Security 8 Summary of necessary steps • Model the supported processes of organizations • Align the processes top down – Who needs to work with whom – When is collaboration needed • Evaluate supporting system functionality – Which systems – and which system components and/or services – support the processes • Data Engineering – What data is needed, where do they come from? – Who owns the data, how can we access it? – What is the format, what is the logical meaning? – Data Mediation as a result of the work? © ODU/VMASC 2008 HLS Education Summit University of Maryland, March 2008
Peter O’Kelly (Burton Group): Data Modeling is Underrated: A Bright Future Ahead in the Grand Schema Things, Model-based Data Engineering for Homeland Security 9 Nov 30, 2006, Ontolog-Forum © ODU/VMASC 2008 HLS Education Summit. Group. © 2003 Burton University of Maryland, March 2008 All rights reserved.
Model-based Data Engineering for Homeland Security 10 XML Data Mediation Services based on the CRM 2 1 (1) Data Modeling and Data Documentation XML - XML Document 1 CRM (3) Data Management 3 1 4 ! 5 XSLT (+) © ODU/VMASC 2008 (2) Data Administration - Mapping to CRM - Extending CRM - Enhancing CRM (4) Data Alignment (5) Data Transformation - Generate XSLT (+) HLS Education Summit University of Maryland, March 2008
Model-based Data Engineering for Homeland Security 11 XML Data Mediation Services based on the CRM 1 (1) Data Modeling and Data Documentation Other members of the COI - XML Document 1 XML XSLT (+) (3) Data Management - Mapping to CRM - Extending CRM - Enhancing CRM XML (2) Data Administration 1 XSLT (+) XML (4) Data Alignment (5) Data Transformation - Generate XSLT (+) © ODU/VMASC 2008 HLS Education Summit University of Maryland, March 2008
Model-based Data Engineering for Homeland Security Data Mediation Services Application specific view 12 Aggregate Services Real aggregates of information CRM Concepts Relations Rules Composition of Information Composite Services © ODU/VMASC 2008 Atomic Information Atomic Services HLS Education Summit University of Maryland, March 2008
Google Adapter Model-based Data Engineering for Homeland Security C 2 13 Linkopping Sita. Ware C 2 Norfolk Web. COP C 2 Norfolk PABST M&S Meppen SICF C 2 Paris C-BML Web Services NATO MSG-027 PATHFINDER Integration Environment Experiment C 2 -M&S Coupling © ODU/VMASC November 9, 2006 2008 SIMBAD M&S Madrid HLS Education Summit University of Maryland, March 2008
PABST Model-based Data Engineering for Homeland Security SICF 14 SIMBAD SITAWARE © ODU/VMASC 2008 HLS Education Summit University of Maryland, March 2008
Model-based Data Engineering for Homeland Security Authoritative Data Sources Mediation Clients to CRM Cohesive Data Product Repository Mediation Clients for Data Consumers Data Products JCATS Product Generator ASIT Client (JIDPS) ASIT Client JCATS Init Products AWSIM Products Generator ASIT Client (SGS) AWSIMASIT Client Init Products SIMPLE Products Generator ASIT Client (JIDPS) ASIT Client SIMPLE Init Products ACSIS ASIT Client Web Service 15 SGS ASIT SGS Init Client JEDIS DB JIDPS Client UOBDAT © ODU/VMASC 2008 UOBDAT Client JEDIS Web Service UOBDAT HLS Education Summit University of Maryland, March 2008
Model-based Data Engineering for Homeland Security 16 Summary • • • Data Engineering is recognized in various domains Data Engineering results in direct support of Data Mediation Services needed for – Semantic Web Applications – Global Information Grid – Net-centric operations/Net-enabled Capabilities Successful applications in NATO – MSG-027 Pathfinder Integration Environment – MSG-048 Coalition Battle Management Language Related Standardization Efforts within SISO – Coalition Battle Management Language (C-BML) – Military Scenario Definition Language (MSDL) Successful applications in JCOM – Joint Tactical Data Services (JTDS) currently more then 1, 000 services implemented used in the Joint Rapid Scenario Generation (JRSG) initiative in the Joint Advanced Training and Technology Laboratory (JATTL) © ODU/VMASC 2008 HLS Education Summit University of Maryland, March 2008
Model-based Data Engineering for Homeland Security 17 Selected References • • • Invited Conference Paper: – Andreas Tolk, Charles Turnitsa, Saikou Diallo: “Model-Based Alignment and Orchestration of Heterogeneous Homeland Security Applications Enabling Composition of Systems, ” Winter Simulation Conference WSC’ 07, Washington, DC, December 2007 Journal papers: – Andreas Tolk, Saikou Y. Diallo, Charles D. Turnitsa: “Applying the Levels of Conceptual Interoperability Model in Support of Integratability, Interoperability, and Composability for System-of-Systems Engineering, ” Journal of Systemics, Cybernetics and Informatics, Volume 5 Number 5, pp. 65 -74, IIIS, 2007 – Andreas Tolk, Charles D. Turnitsa, Saikou Y. Diallo: “Implied Ontological Representation within the Levels of Conceptual Interoperability Model, ” International Journal of Intelligent Decision Technologies (IDT), Special Issue on Ontology Driven Interoperability for Agile Applications using Information Systems: Requirements and Applications for Agent Mediated Decision Support, Volume 2, Issue 1, January 2008 – Andreas Tolk, Saikou Y. Diallo, Charles D. Turnitsa, Leslie S. Winters: “Composable M&S Web Services for Net-centric Applications, ” Journal for Defense Modeling & Simulation (JDMS), Volume 3 Number 1, pp. 27 -44, January 2006 – Andreas Tolk, Saikou Diallo: “Model-Based Data Engineering for Web Services, ” IEEE Internet Computing Volume 9 Number 4, pp. 65 -70, July/August 2005 Invited Book Chapter: – Andreas Tolk, Saikou Y. Diallo: “Model-based Data Engineering for Web Services, ” Chapter accepted for Lakhmi C. Jain (Ed. ): Evolution of WEB in Artificial Intelligence Environment, Springer, 2008 © ODU/VMASC 2008 HLS Education Summit University of Maryland, March 2008
Model-based Data Engineering for Homeland Security 18 Questions? Dr. Andreas Tolk Associate Professor College of Engineering & Technology Department for Engineering Management Old Dominion University Norfolk, VA 23529 atolk@odu. edu Saikou Y. Diallo Charles D. Turnitsa Virginia Modeling Analyses & Simulation Center Old Dominion University 7000 College Drive / Manning Bldg Suffolk, VA 23435 [sdiallo, cturnits@odu. edu] © ODU/VMASC 2008 HLS Education Summit University of Maryland, March 2008
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