The Semantic Interoperability Community of Practice (SICoP) of the Federal CIO Council

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Transcription:

The Semantic Interoperability Community of Practice (SICoP) of the Federal CIO Council Brand Niemann Co-Chair, Semantic Interoperability Community of Practice (SICoP) Enterprise Architecture Team, EPA Office of Environmental Information 1

Notice: In today s presentation, the part of Brand Niemann will be played by: Ed Barkmeyer Interoperability Program NIST Manufacturing Engineering Laboratory 2

Overview Who/what is SICoP? What are we doing? White Papers Annual Semantic Technologies for egovernment Conferences Relationship to Enterprise Architecture and Service-Oriented Architecture Future Activities 3

Who we are The Semantic Interoperability Community of Practice (SICoP) is a group of individuals representing a broad range of government organizations industry and academic partners no formal commitment from agencies or companies Objectives: semantic interoperability as an operational characteristic of software used in Federal agencies. semantic data integration among software and data repositories provided by the Federal Government make the Semantic Web operational in members agencies. 4

Who we are formally SICoP is a Special Interest Group (SIG) within the Knowledge Management Working Group (KMWG) sponsored by the Best Practices Committee of the Chief Information Officers Council (CIOC) of the U.S. Government. Responsibility: provide findings and recommendations to the Best Practices Committee Approach: meetings, tutorials, conferences, pilot projects, etc. promulgating best practices. 5

Organization Structure for Semantic Harmonization 6

How did SICoP come about? 2002: Semantic technologies discussed in CIO Council XML Web Services Working Group 2002-03: Semantic Technologies for egovernment Pilot See http://web-services.gov 9/2003: Semantic Technologies for egov Conference See http://www.topquadrant.com/conferences/tq_proceedings.htm 10/2003: CIO Council Knowledge Management Working Group recommends Community of Practice See http://km.gov 2003-04: Semantic Technology Training Series TopQuadrant/U. Maryland and other presentations 4/2004: SICoP Kickoff Meeting 7

SICoP Accomplishments First Semantic Technology for egovernment Conference at the White House Conference Center, September 8, 2003 http://www.topquadrant.com/conferences/tq_proceedings.htm 2nd Semantic Technology for egovernment Conference September, 2004 40 Defense and civilian agencies represented 50 major contractors represented. : http://www.topquadrant.com/conferences/sept8_2004/stgov04_p roceedings.htm White Papers 8

SICoP Partnerships Federal XML Working Group Government XML CoP Ontolog Forum Joint effort to "semantify" the Federal Health Architecture (FHA) other communities of practice 9

Contours of Practice Implementing Semantic Interoperability Core Technologies Organizational Support Use Cases Source: Leo Obrst Transition Efforts Ontology Developers Communities of Practice 10

White Papers ( Modules ) 1: Executive Summary: Semantic Technologies and the Vision of the Semantic Web Jie-Hong Morrison, Computer Technologies Consultants, Ken Fromm, Loomia. Published, 4 September 2004, at: 2: Exploring the Business Value of Semantic Interoperability Irene Polikoff, TopQuadrant. 3: Implementing the Semantic Web Michael Daconta, US Department of Homeland Security. 11

Semantics Semantics = a branch of linguistics that deals with the meaning of words and sentences Information Semantics = representation of meaning for computational systems and data Meaning changes by context and over time 12

Semantic Web an aggregation of websites and data stores data with semantic markup accessible semantic technologies and services Objective: improved response to information requests better information relevance and confidence automated rote search processes intelligent reasoning and brokering agents critical infrastructure for the Semantic Web conceptual frameworks reference ontologies well-understood contracts of interaction 13

Foundations of the Semantic Web The semantic web is not built on radical new technologies established basis technologies computer languages information theory (distributed) database management model-based design description logics meaning to software agents is based on well-defined formal structures stored with data 14

Semantic Interoperability a smaller problem than the Semantic Web use of semantic technologies and tooling to mediate data and meaning across contexts in a well-defined domain depends on reference models and dictionaries for the domain 15

Key components Technologies/languages XML RDF OWL Reference ontologies Taxonomies Thesauri Conceptual models (or schemas) Logical theories 16

Ontology spectrum DB Schemas, XML Schema Conceptual Model Modal Logic First Order Logic Logical Theory RDF/S XTM Extended ER Thesaurus Has Narrower Meaning Than ER Description Logic DAML+OIL, OWL UML Is Subclass of strong semantics Is Disjoint Subclass of with transitivity property Semantic Interoperability Structural Interoperability Relational Model, XML Taxonomy Is Sub-Classification of Syntactic Interoperability weak semantics source: Daconta, Obrst, Smith 17

3 Dimensions of Semantic Computing Adapted by Richard Murphy, GSA (and SICoP Member). 18

Relationship to Enterprise Architecture Three levels of interoperability Organizational Interoperability: common goals, interacting business processes, collaborations Technical Interoperability: common networks, middleware, representation Semantic Interoperability: correct interpretation of exchanged information by recipient in context Semantic Interoperability is a major concern in the FEA Data Reference Model 19

Relationship to Service-Oriented Architecture Service-Oriented Architecture information and services provided by Web services service boundaries are explicit services are autonomous services share schema and contract policy controls compatibilities Semantic interoperability schema and contract have conceptual models client and service share interpretation compatibility by common interpretation (and conversion when technical schemas differ) 20

NIST/MEL Interoperability Program Scope product and process engineering manufacturing production and supply-chain operations Standard schemas and service interfaces Testing standards conformance interpretation consistency Semantics ontologies for standard schemas and interfaces tooling for ontology development and mapping reasoners to support interpretation testing 21

Future SICoP Activities Mandates The E-Government Act of 2002 (Categorization of Government Information) The Federal Enterprise Architecture Data & Information Reference Model (DRM) Selected Lines of Business (e.g., Data & Statistics and Federal Health Architecture) Activities Individual E-Gov Initiatives and Agency Missions; White Paper Modules 2 and 3. Coordination with Semantic Web Best Practices and Deployment Working Group Semantic Technologies for egovernment Conferences 22

SICoP Contacts Brand Niemann, EPA, SICoP co-chair bniemann@cox.net, 1-202-236-6432 Dr. Rick Morris, U.S. Army, OCIO (SICoP Co-Chair) Rick.Morris@us.army.mil Harriet J. Riofrio, OASD NII DCIO IM (KMWG Co-Chair) Major contributors Jie-hong Morrison, Computer Technologies Consultants, Inc. Irene Polikoff and Ralph Hodgson, TopQuadrant, Inc. Ken Fromm, Loomia, Inc. Leo Obrst, The MITRE Corporation Joram Borenstein, Unicorn Solutions, Inc. Jeff Pollock, Network Inference, Inc. Nancy G. Faget, U.S. Army Corps of Engineers Mike Daconta, DHS 23

Websites CIO Council Knowledge Management WG http://www.km.gov Semantic Interoperability CoP (SICoP) http://www.web-services.gov (white papers, etc.) Collaboration site: http://colab.cim3.net 24

NIST Contacts Dr. Steven R. Ray Chief, Manufacturing Systems Integration Division Director, Manufacturing Interoperability Program Steven.Ray@nist.gov, 1-301-975-3508 Evan K. Wallace Member, W3C Semantic Web Group Chair, OMG Ontology SIG (Ontology Definition Metamodel) ewallace@nist.gov, 1-301-975-3520 Dr. Michael Gruninger ISO Common Logic Model (SCL) ISO 18629 Process Specification Language (PSL) michael.gruninger@nist.gov, 1-301-975-6536 Dr. Craig Schlenof Automata service descriptions using OWL-S schlenof@nist.gov 25