1 ecoinformatics international technical collaboration technical projects workgroup update october...
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Ecoinformatics International Technical Collaboration
Technical Projects Workgroup Update
October 5, 2009
Bruce BargmeyerLawrence Berkeley National LaboratoryTel: +1 [email protected]
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Topics
Introduction Current Activities
Uses of terminology and Ontology
Ecoinformatics CooperationBackground
Initiated about 1994 Leverage resources of agencies with major health and
environmental programs in their missions EEA (and DG Environment, Research, Information Society) US Government--EPA, USGS, NSF, DOD, … Intergovernmental organizations (IGOs)--UNEP Scientific research organizations—LBNL, JRC
Cooperate on standards and technology development, demonstration, deployment.
EPA and EEA play leadership role Evolving name: Initiated the use of term “ecoinformatics” for the
participants: Interagency/International Cooperation on Ecoinformatics, Ecoinformatics International Technical Collaboration (EITC)
Ecoterm group was created under umbrella of this group
Ecoinformatics International Technical Collaboration
Purpose The following are major purposes for the projects and
activities of the EITC Share experiences and results Establish and foster an ecoinformatics marketplace and the pillars
that will support it: common vision, standards, sharable designs and practices.
Cooperate on emerging technologies Cooperate on key elements for interoperability Cooperate on developing and deploying interagency/international
environmental information systems Share the costs and benefits of key elements for interoperation Demonstrate results Publicity
Two levels: Principals (top-level government) and technical-level workgroups Primary organizers William Sonntag (EPA) David Stanners (EEA)
EcoinformaticsActivities & Research
Two kinds of activities:Advances/activities as part of current operations
with internal agency resources Ecoinformatics result: primarily technology transfer
by sharing ideas.Activities requiring additional resources
(contracts, research grants, …) Ecoinformatics result: technology transfer of ideas,
research results, and tools/infrastructure.
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Coordinate R&D in Ecoinformatics
Share cost and benefits through coordination of US & EU (& Asia?) ecoinformatics R&D
Identify key advances needed at the core of ecoinformatics Semantics management, semantics services, semantic computing Terminology web services IT support for indicators, … Demonstrate in ecoinformatics “Test Bed” Develop an “architecture” of advanced ecoinformatics
technologies? Research, Development and Demonstration projects ranging from
improvements in operations to strategic breakthroughs
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Ecoinformatics Technologies
Identify existing and emerging technologies useful for ecoinformatics, e.g., Environmental data grids and computer grids Semantic Web Metadata registries XML registries and XML data exchange Terminology systems Ontology Address earlier stages of technology adoption
Stages of adoption are, e.g.: examine technology that is interesting, determine that technology is potentially useful, develop a prototype, implement a pilot, develop for broad deployment, deploy, operate as mature technology
Share costs and increase benefits of early stages
Ecoterm I
Nee:1st Environmental Terminology Meeting 15-16 April 2004 in Geneva Hosted by UNEP with programming support by EPA,
EEA, JRC and USGS > 30 participants Participants included terminology developers, IT
professionals, and those interested in multilingual issues from governments, intergovernmental organizations (especially UN agencies), scientific institutions, corporations and vendors
This is the fifth meeting of the Ecoterm group. USGS support has done much to advance this group
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Ecoinformatics CollaborationCurrent Activities
Ecoterm activities (as updated at this meeting)EPA, EEA, UNEP collaboration with
Microsoft EEA – Microsoft Partnership Agreement
Eye on Earth UNEP – Microsoft MOU EPA, LBNL, Berkeley Water Center, Microsoft
Research – R&D collaboration SciScope
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Ecoinformatics CollaborationCurrent Activities
Global Standards Array for Interoperability Initiated at the March 2009 EITC meeting in Copenhagen Challenge is to develop an interoperability solution for global environmental
assessment, reporting and observations networks Using the talent and expertise of the EITC as the forum and primary resource.
EITC discussions resulted in an understanding that an array of global standards for the environmental information domain would do the most to further interoperability.
This recommended array would be based on the best of current standards and approaches now adopted by the Ecoinformatics partners and standards currently in use by national, regional, global networks, communities of practice of portions of the environmental information domain and consensus processes like GEO.
Draft scoping document under preparation Participants agreed to provide their initial thoughts on the starting list of standards that
they believe would be potential constituent parts in the potential standards array. Next Telecon October 7, 2009
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Ecoinformatics CollaborationCurrent Activities
GEMET - GEneral Multilingual Environmental Thesaurus Developed as an indexing, retrieval and control tool. The basic idea for the development of GEMET was to use the best
of the available multilingual thesauri. GEMET was conceived as a “general” thesaurus, aimed to define a common general language, a core of general terminology for the environment.
Use widened to include INSPIRE and other new applications Discussion beginning about how to extend GEMET Update tomorrow from Stefan Jensen
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Ecoinformatics CollaborationCurrent Activities
Cooperation with Earth Science Information Partners (ESIP) and GEOSS ESIP Water Cluster Activities EPA Office of Water - Water Quality Exchange (WQX) CAUHSI Activities – Water ontology development related to Hydroseek
(Bora Beran) and potentially SciScope Potential for use of EPA OEI Substance Registry System (SRS) chemicals
and other terminology related to water GEOSS Related activities (in consultation with EPA/EEA/NASA/NOAA)
Metadata registry and ontology standards ISO/IEC 11179 and 19763 families of standards
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Current Activities
Water Information System for Europe, Shared Environmental Information System
SPIRE - Semantic Eco-blogging; Aquatic Invasive Prediction, linked data USGS initiatives, NBII Metadata Catalog, Gap Analysis EPA terminology and registry advancements
Office of Research and Development + Office of Environmental Information
Ecoinformatics Implementing Arrangement under US – EU Science and Technology Agreement- coordinated research
Co-operation and coordination with GMES, GEOSS, GEO - strengthening data integration and data exchange
Work with EEA and EPA to explore possible interaction with National Cancer Institute relating to caBIG approaches to interoperability of dispersed data.
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Concept
Concept Concept )
ConceptConcept Concept
Term
Term
Ontology
Employee
Model
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Modeling, Ontology, Terminology
Terminology
“person”
“Employee”
Source: Hajime Horiuchi, Tokyo International University
Areas of Interoperability
There are four areas of compatibility—an application must meet the guidelines in all four areas to be considered "caBIG Compatible:”
• Syntactic Interoperability
1. Programming and Messaging Interfaces• Semantic Interoperability
2. Information Models
3. Common Data Elements
4. Vocabularies and Ontologies
Vocabularies Information Models
APIs
CDEs
caBIG: NCI cancer Biomedical Informatics Grid
Semantics for Data Management & Semantics Services – ISO/IEC 11179 (E3)
Object ClassChemopreventive
Agent
PropertyNSCNumber
Conceptual DomainAgent
Data Element ConceptChemopreventive Agent
NSC Number
Data ElementChemopreventive Agent Name
Value DomainNSC Code
ContextcaCORE
RepresentationCode
Cla
ssif
icat
ion
Sch
emes
caD
SR
Tra
inin
g
Valid ValuesCyclooxygenase Inhibitor
DoxercalciferolEflornithine
…Ursodiol
Source: Denise Warzel, National Cancer Institute
Enterprise Vocabulary Services (EVS) Concepts Unite NCI MDR
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Ontologies for Role, Goal, Process, Service (ISO/IEC 19763)
G
S
Service
Composite ServiceAtomic Service
realizes
Goal
Nonfunctional Goal Functional Goal
Role GoalPersonal Goal
Process
Composite ProcessAtomic Process
P
achievescontributes
prefers takesChargeR
Role OrganizationActorplays consistsOf
Entity Ontology
Operation Ontology
Context Ontology
ObjecthasObject
InputhasInput
OutputhasOutput
Message
hasMessage
Semantic Annotation
Operation
hasOperation
Dynamic Context Profile
Contextual Depend
Contextual Expectation
Contextual Property
Domain Ontologies
Functional Goal:
Sort Order
Acknowledgements
Thanks to: Yangfan HE, Wuhan University Gail Hodge, IIA/USGS Harold Solbrig, Mayo Clinic Denise Warzel, NCI
This material is based upon work supported by the National Science Foundation, under Grant No. 0637122, by USEPA, and by NCI. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation, NCI, or USEPA.
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