DoD Enterprise Architecture Conference Bringing it all together!

1. DoD Enterprise Architecture ConferenceBringing it all together! June 24, 2012 Dennis E. Wisnosky DoD BMA CTO & Chief Architect Video #2 DoD Semantic Technology Clip

2. Warfighter Mission Area Business Mission Area Intel Mission Area Enterprise Information EnvironmentMission Area DCMO CTO/CA Missions of the DoD Dennis E. Wisnosky, DoD BMA CTO & Chief Architect in the Office of theDeputy Chief Management Officer (DCMO) Heading, Altitude, Airspeed! DWiz DoD DCMO BMA CTO & CA

3. Semantic Web: Heading, Altitude and Airspeed I don’t want BIG DATA! I want little data! I want what I want, I want what I need, I want to know it is right, I want it when I need it. (near) Exponential connections (n2 – n) (near) Linear connections (2n-1) Force Directed Graph The Journey! DWiz DoD DCMO BMA CTO & CA

4. The Need for Change in the 21st Century“Pentagon Bureaucracy - It disrupts the defense of the United Statesand places the lives of men and women in uniform at risk. …..the Department of Defense will shift our focus and our resources from bureaucracy to battlefield, from tailto tooth.” SecDef, 10 Sept. 2001 2002 - BMMP and the BEA was todrive-in cost accountability and drive-out redundancy. Business ManagementModernization Program This called for an Architecture DWiz DoD DCMO BMA CTO & CA

5. DoD Business Enterprise Architecture (BEA) Progression Blueprinting BEA - Stovepiped BEA - Semantic Branch office-based; readable but not analyzable; stovepiped Business Mission-based; readable within a Business Mission; not analyzable; not integrated with solution architectures End-to-End based; analyzable; executable; federated with & consumable by solution architectures BEA 1.0 – 2.4 “Boil the Ocean” BEA 3.0 - 9.0“Prioritized” BEA 10.0 and later“Executable” Department of Defense DWiz DoD DCMO BMA CTO & CA

6. SEMANTIC WEB – HOW IT WORKS Central High School University Michigan hasName hasName O6 Education Institution HR Dataset Col. E.J. Blatt hasTitle hasName graduatedFrom hasName Defense Acquisition U. Pay Grade hasGrade person Graph1 What Pay Grade is Col. Blatt? Department of Defense DWiz DoD DCMO BMA CTO & CA

7. SEMANTIC WEB – HOW IT WORKS How much Dwell Time does Col. Blatt have? Graph2 Dwell Time person hasName hasDwellTimeStatus Deployment History hasValue Col. E.J. Blatt 24 months Department of Defense DWiz DoD DCMO BMA CTO & CA

8. SEMANTIC WEB – HOW IT WORKS Central High School University Michigan hasName hasName O6 HR Dataset Education Institution Col. E.J. Blatt hasTitle hasName graduatedFrom hasName Defense Acquisition U. Pay Grade hasGrade person Graph3 Who has a Pay Grade of “O6” and has at least 24 months of Dwell Time? person Dwell Time hasName hasDwellTimeStatus Deployment History hasValue Col. E.J. Blatt 24 months Department of Defense DWiz DoD DCMO BMA CTO & CA

9. DCMO Mandate - Standards Approach Department of Defense DWiz DoD DCMO BMA CTO & CA

10. DoD Federated/Net-centricity and DCMO Approach “Enterprise Architecture Federation Strategy” on Semantic Alignment excerpt: A key goal of net-centricity is to enable semantic understanding of data so that interoperability can be achieved between any applications that have the ability to access and interpret the structural and semantic rules associated with data. “Net-centric Data Strategy” on Interoperable excerpt: Data Interoperability - The ability to share information among components while preserving its accuracy, integrity and appropriate use. The ability of two or more systems or components to exchange information and to use the information that has been exchanged. Goal: Decentralize data management to communities of interest (COIs) to allow prioritization and collaboration based on immediate operational needs while providing enterprise infrastructure for self-synchronization on a larger scale • BEA - DoD Federated/Net-centric approach through Standard Semantic Specifications: • Use of semantic standards to realize DoD federated understanding of data • OWL (Web Ontology Language) • OWL-DL (Descriptive Logic) • SPARQL 1.1 (OWL Query Language) • BPMN2.0/BPMN 2.0 primitives (Business Process) • Standards adopted by DoD in the DISR • A standards based semantic understanding between enterprise applications supports the shift from a stale data warehousing approach to federated dynamic retrieval of authoritative data sources approach Department of Defense DWiz DoD DCMO BMA CTO & CA

11. Federation and Compliance throughSemantic Architecture iEHR Services Architecture Investment Review Board Dashboards VIPS Ont Implemented by iEHR EA Ont Process IPPS Ont HRM EA Ont Mapping Ont. Data iEHRSvcsOnt Complies to DIEA Ont BEA Ont Electronic Health Record Enterprise Architecture (iEHR EA) Service Integrated Personnel and Pay System Architecture (IPPS) Human Resources Management Enterprise Architecture (HRM EA) Defense Information Enterprise Architecture (DIEA) Virtual Interactive Processing System Architecture (VIPS) Business Enterprise Architecture: BEA Process Process Process Process Process Process Mapping Ont. Mapping Ont. Mapping Ont. Mapping Ont. Mapping Ont. Mapping Ont. Data Data Data Data Data Data Graph Stores (ADS) Graph Stores (ADS) Graph Stores (ADS) Graph Stores (ADS) Graph Stores (ADS) Graph Stores (ADS) Graph Stores (ADS) Embedded in DoD Policy Enterprise Architectures Solution Architectures DWiz DoD DCMO BMA CTO & CA

12. Benefits of OWL based Ontologies? • OWL is an industry standard to express Ontologies: • WC3 open specification • Support from Open Source and COTS tool vendors • Tools exist to create/visualize OWL files, and process OWL rules • Active growing community continues to submit new, rich, supporting specifications/capabilities; i.e. R2ML, RIF, SPIN, RDFa, etc. • Contains a rich set of constructs and data types • Is extendable and provides a path for modular development & reuse • Captures both data, and rules that can be quickly adjusted in a controlled fashion vs. capturing rules in code with a long change/deploy process • Formal logic and supports reasoning • Interoperability: • OWL files are easily shared, making structures visible and well understood • SPARQL query specifications provide solution to dynamic federated queries • Same concepts with different terms across federated ontologies can be resolved via OWL “sameAs” constructs http://www.starlab.vub.ac.be/teaching/Ontologies_Intr_Overv.pdf Advances goal of establishing DoD architectures that are people readable, machine readable and executable Ontologies we need! DWiz DoD DCMO BMA CTO & CA

13. DCMO Foundational Ontologies Vision Notional View of Foundational Ontologies BPMN 2.0 BEA DM2 H2R P2P Architecture Content through Standard Data Descriptions– Not PicturesA Semantic BEA Built of Process/Activities, Semantic Data and Rules“With data, you can populate as many models as you need!” Progress! DWiz DoD DCMO BMA CTO & CA

14. Svc Member Airman Sailor DCMO Federation via Semantic Standards Relationship described in OWL Data described in RDF W3C Open Standards Legend: DoD Authoritative Data Source User executes BP DoD EA OMG Primitives Conformance class 2.0 NCES BP models uniformly described BP executes via BEA directly Business Enterprise Architecture: BEA Acq Domain Vocabulary SameAs Query BEA directly: Warfighter Domain Vocabulary • Enterprise analytics • Compliance • IRB/portfolio management SameAs DM2 Real Prop Domain Vocabulary Log Domain Vocabulary SameAs SameAs SameAs Fin Domain Vocabulary (GFMDI) (EDIPI) HR Domain Vocabulary OUID position billet dept 14 For Official Use Only Department of Defense DWiz DoD DCMO BMA CTO & CA 14

15. FoundationalOntologies Implementation • Phase I DCMO Ontology Architecture(DM2 2.02, BPMN 2.0, BEA 9.0) • Ontologies created by Small Working Teams • DM2 Working Team (included representative from DM2 WG) • BPMN 2.0 Working Team; BEA Working Team • Groups consisted of diverse members; Engineering, Ontologist, SMEs,… • Created DM2 v2.02 Ontology • Based on DM2 Logical and Conceptual Model • Replaced IDEAS constructs with OWL constructs • Created BMPN 2.0 Ontology • Contains BPMN Analytic Conformance • BPMN 2.0 specifications used to create ontology • Plan to submit to OMG as an industry standard • Created BPMN 2.0 to DM2 Mapping Ontology • Maps some BPMN concepts and relationships to DM2 OWL • Mapping achieved via OWL sub-classing and chaining axioms • Created BEA Ontology • BEA Ov-6c uses BPMN 2.0 concepts and relationships directly • Other BEA views (e.g. OV2, OV5a, OV5b, SV1, Svc, CV-2) map to DM2 directly via sub-classing Upper ontology to all architecture ontologies • https://software.forge.mil/sf/docman/do/listDocuments/projects.bea/docman.root.bea_ontologies ß DM2 BPMN-to-DM2 BEA (non-BPMN) BPMN 2.0 Query BEA on DM2 or BPMN terms BEA class replacements Watch for DoDAF 2.03! DWiz DoD DCMO BMA CTO & CA

16. We have the technology now Think Apple iPhoneSiri!! Source: Tom Gruber, Inventor of Sirihttp://www.tomgruber.org Aroundme Sky Map Evi View Graph Engineering Example! DWiz DoD DCMO BMA CTO & CA

17. The next phase – Getting EIW to the Warfighter Web Services Voice -Recognition Tactical - Edge AnalyticsStore Document Store Event Store DoD EA Ontologies (OWL) Alerting Subsystem Information Extraction and Automated Semantic Reasoning CONUS Data Accessor Data Accessor Data Accessor Sensor Data Open Source Data Mission Area Data • News Feeds • Authoritative Data Sources • Location/Time xml csv • Public Web Pages • Accelerometer • Mission Planning raw I don’t want Big Data! • RSS • Instrumentation • Intel DWiz DoD DCMO BMA CTO & CA

18. Meeting the Data Mandate for the Warfighter“…..from bureaucracy to battlefield, from tail to tooth” I don’t want BIG DATA! I want my data! I want what I want, I want what I need, I want to know it is right, I want it when I need it. “Interrogative: Where is my stuff?” Semantics relates unstructured data to structured,Semantics delivers the right structure,Semantics reduces the Warfighter Information Overload. Thank you! DWiz DoD DCMO BMA CTO & CA

19. Thank you! Questions? Dennis.Wisnosky@osd.mil DWiz DoD DCMO BMA CTO & CA

20. http://dcmo.defense.gov DWiz DoD DCMO BMA CTO & CA