Technology Exploration – Semantics Karen Moe NASA Earth Science Technology Office WGISS-37 Meeting April 14-18, 2014.

Slides:

Advertisements

Similar presentations

Rob Raskin NASA/Jet Propulsion Laboratory Pasadena, CA

Advertisements

1 Development of a Community Ontology for Earth System Science Rob Raskin NASA/Jet Propulsion Laboratory Pasadena, CA March 20, 2008.

1 Community Ontologies for Earth System Science Rob Raskin NASA/Jet Propulsion Laboratory Pasadena, CA April 3, 2008.

Terminologies: An e-Science perspective Nicholas Gibbins Intelligence, Agents, Multimedia University of Southampton.

Rob Raskin NASA/Jet Propulsion Lab sweet.jpl.nasa.gov.

A Framework for Earth Science Search Interface Development Designing and Implementing S2S Eric Rozell, Tetherless World Constellation, RPI.

Semantic Web for Earth and Environmental Terminology (SWEET) Rob Raskin NASA/JPL July 20, 2006.

Knowledge as CI: Toward Geographic Knowledge Systems Rob Raskin NASA/JPL.

Ontology and Application for Reusable Search Interface Design Plans for Advanced Semantic Technologies Final Project Eric Rozell, Tetherless World Constellation.

McGuinness – Microsoft eScience – December 8, Semantically-Enabled Science Informatics: With Supporting Knowledge Provenance and Evolution Infrastructure.

Environmental Terminology System and Services (ETSS) June 2007.

Columbia University Dept of Computer Science Center for Research on Info Access University of So. Calif Information Sciences Institute (ISI)

1 CYBERINFRASTRUCTURE FOR THE GEOSCIENCES Global Earth Observation Grid Workshop, Bangkok, Thailand, March Integration Platform.

DCMO - CIO Architecture Federation Pilot Larry Singer 5 January, 2012.

SWEET: Upper-Level Ontologies for Earth System Science OPeNDAP Meeting Feb 2007 Rob Raskin PO.DAAC Jet Propulsion Laboratory.

Semantic Web Technologies Lecture # 2 Faculty of Computer Science, IBA.

Semantic Similarity Computation and Concept Mapping in Earth and Environmental Science Jin Guang Zheng Xiaogang Ma Stephan.

1 Semantic Cloud Computing & Open Linked Data Pattern Brand Niemann Invited Expert to the NCIOC SCOPE and Services WGs September 22, 2009.

Computing in Atmospheric Sciences Workshop: 2003 Challenges of Cyberinfrastructure Alan Blatecky Executive Director San Diego Supercomputer Center.

ToolMatch: Discovering What Tools can be used to Access, Manipulate, Transform, and Visualize Data Patrick West 1 Nancy Hoebelheinrich.

Key integrating concepts Groups Formal Community Groups Ad-hoc special purpose/ interest groups Fine-grained access control and membership Linked All content.

Beyond a Data Portal: A Collaborative Environment for the Deep Carbon Science Communities Han Wang, Yu Chen, Patrick West, John Erickson, Xiaogang Ma,

The Case for Data Stewardship: Preserving the Scientific Record Matthew Mayernik National Center for Atmospheric Research Version 2.0 [Review Date]

Clinical Trials Program PhUSE Semantic Technology WG.

Publishing and Visualizing Large-Scale Semantically-enabled Earth Science Resources on the Web Benno Lee 1 Sumit Purohit 2

Science Research: Journey to 10,000 Sources Presented by: Abe Lederman, President and Founder Deep Web Technologies, Inc. Special Libraries Association.

CF Conventions Support at BADC Alison Pamment Roy Lowry (BODC)

GCMD/IDN STATUS AND PLANS Stephen Wharton CWIC Meeting February19, 2015.

U.S. Department of the Interior U.S. Geological Survey CDI Webinar Sept. 5, 2012 Kevin T. Gallagher and Linda C. Gundersen September 5, 2012 CDI Science.

Data Science ESIP Publication Dr. Brand Niemann Director and Senior Data Scientist/Data Journalist Semantic Community

Semantic Cyberinfrastructure for Knowledge and Information Discovery (SCiKID) Proposal Principle Investigator: Eric Rozell Tetherless World Constellation.

Semantically-Enabled Science Data Integration (SESDI) and The Virtual Solar-Terrestrial Observatory (VSTO) Semantically-enabled (large-scale) Scientific.

EPA’s Environmental Terminology System and Services (ETSS) Michael Pendleton Data Standards Branch, EPA/OEI Ecoiformatics Technical Collaborative Indicators.

Geosciences - Observations (Bob Wilhelmson) The geosciences in NSF’s world consists of atmospheric science, ocean science, and earth science Many of the.

WGISS 37 Cocoa Beach Florida April 18, 2014 Andrew Mitchell Satoko H. MIURA.

1 Semantic Provenance and Integration Peter Fox and Deborah L. McGuinness Joint work with Stephan Zednick, Patrick West, Li Ding, Cynthia Chang, … Tetherless.

Using the Global Change Master Directory (GCMD) to Promote and Discover ESIP Data, Services, and Climate Visualizations Presented by GCMD Staff January.

ESIP Federation Activities Rob Raskin NASA/ Jet Propulsion Laboratory Pasadena, CA.

National Aeronautics and Space Administration Jet Propulsion Laboratory California Institute of Technology Pasadena, California EDGE: The Multi-Metadata.

Resource Discovery for Extreme Scale Collaboration Benno Lee Patrick West 1 William Smith 2

SKOS. Ontologies Metadata –Resources marked-up with descriptions of their content. No good unless everyone speaks the same language; Terminologies –Provide.

Semantically-Enabled Virtual Observatories: VSTO Highlights for Observational Data Deborah McGuinness Acting Director and Senior Research Scientist Knowledge.

Solar Terrestrial Ontologies – in Support of Virtual Observatories and Large Scale Semantic Scientific Data Integration Deborah McGuinness Co-Director.

The VIRTUAL SOLAR-TERRESTRIAL OBSERVATORY - Exploring paradigms for interdisciplinary data-driven science Peter Fox 1 Don Middleton 2,

Portable Infrastructure for the Metafor Metadata System Charlotte Pascoe 1, Gerry Devine 2 1 NCAS-BADC, 2 NCAS-CMS University of Reading PIMMS provides.

Discovering Earth Science Data and Services Using NASA’s Global Change Master Directory: The Value for Earth Science Teachers Tyler Stevens NASA’s Global.

The future of the Web: Semantic Web 9/30/2004 Xiangming Mu.

“A Library outranks any other one thing a community can do to benefit its people.” --Andrew Carnegie.

Session on Disasters Management: Overview Karen Moe NASA Earth Science Technology Office WGISS-37 Meeting April 14-18, 2014.

SWEET 2.1 Ontologies Rob Raskin NASA/Jet Propulsion Laboratory.

Creating a Semantic Web with Linked Data Todd King.

Semantic Similarity Computation and Concept Mapping in Earth and Environmental Science Jin Guang Zheng Xiaogang Ma Stephan.

Marine Metadata Interoperability Acknowledgements Ongoing funding for this project is provided by the National Science Foundation.

1 Open Ontology Repository initiative - Planning Meeting - Thu Co-conveners: PeterYim, LeoObrst & MikeDean ref.:

GeoLink Overview Goal: Develop Semantic Web technologies that facilitate discovery (and reuse) of geoscience data.Goal: Develop Semantic Web technologies.

The Proliferation of Metadata Standards and the Evolution of NASA’s Global Change Master Directory (GCMD) Standard for Uses in Earth Science Data Discovery.

OOI Cyberinfrastructure and Semantics OOI CI Architecture & Design Team UCSD/Calit2 Ocean Observing Systems Semantic Interoperability Workshop, November.

Leo Obrst, Fabian Neuhaus MITRE, NIST An Open Ontology Repository: Rationale, Expectations & Requirements Session.

Selected Semantic Web UMBC CoBrA – Context Broker Architecture  Using OWL to define ontologies for context modeling and reasoning  Taking.

Semantics and the EPA System of Registries Gail Hodge IIa/ Consultant to the U.S. Environmental Protection Agency 18 April 2007.

Semantic Web for Earth and Environmental Terminology (SWEET) Rob Raskin NASA/JPL PODAAC.

Social and Personal Factors in Semantic Infusion Projects Patrick West 1 Peter Fox 1 Deborah McGuinness 1,2

Ontology in MBSE How ontologies fit into MBSE The benefits and challenges.

CEOS Working Group on Information System and Services (WGISS) Data Access Infrastructure and Interoperability Standards Andrew Mitchell - NASA Goddard.

Earth Science Information Partner (ESIP) Federation: Semantic Web Activities (including SWEET) Rob Raskin NASA/Jet Propulsion Laboratory.

Agenda Federated Enterprise Architecture Vision

Ilya Zaslavsky Jeffrey Grethe amarnath Gupta burak Ozyurt

COMPASS: A Geospatial Knowledge Infrastructure Managed with Ontologies

HAO/SCD: VO, metadata, catalogs, ontologies, querying

Brokering as a Core Element of EarthCube’s Cyberinfrastructure

Presentation transcript:

Technology Exploration – Semantics Karen Moe NASA Earth Science Technology Office WGISS-37 Meeting April 14-18, 2014

Agenda Overview of Semantic Technology Development SWEET: Semantic Web for Earth and Environmental Terminology SESDI: Semantically Enabled Scientific Data Integration Community efforts on semantic web Goal Terminology => Taxonomy => Ontology => Tools for Discovery & Use of satellite-derived knowledge

Semantic Web for Earth and Environmental Terminology SWEET is a concept space Enable scalable classification of Earth system science concepts (and expanded to space science) Anyone can import, expand and specialize the work of others -No need to regenerate a physics, chemistry, or math ontology Concept space is translatable into other languages/cultures using ‘sameAs’ notions SWEET initially created to capture relationships between GCMD keywords -Controlled keywords represented as a taxonomy -Uncontrolled keywords - data provider may submit additional uncontrolled keywords within their metadata records Initial development: Rob Raskin/JPL Current: Thomas Huang/JPL

SWEET – Upper Level Earth Science Ontology v /2004 DAML+OIL - to capture relationships between GCMD keywords v /2009 OWL v /2011 OWL-DL v /2011 OWL Full v /2011 OWL Full - highly modular with over 6000 concepts in 200 separate ontologies v2.4 – in Progress (T. Huang/JPL for DARPA) SWEET is an Upper-Level Ontology Common definitions for terms use in multiple disciplines Common language in support of community and multidisciplinary activities Common ‘properties’ (relations) for tool developers Reduce burden on creators of specialized domain ontologies

SWEET Information Current SWEET Users (2014) ESML - Earth Science Markup Language ESIP - Earth Science Information Partner Federation GEON - Geosciences Network GENESIS - Global Environmental & Earth Science Information System IRI - International Research Institute (Columbia) LEAD - Linked Environments for Atmospheric Discovery MMI - Marine Metadata Initiative NOESIS – Semantic Search Engine and Resource Aggregator for Atmospheric Science PEaCE - Pacific Ecoinformatics and Computational Ecology SESDI - Semantically Enabled Science Data Integration VSTO - Virtual Solar-Terrestrial Observatory AVM – DARPA Adaptive Vehicle Make The SWEET distribution site averages over 200K hit each month across the globe by SWEET-enabled applications and tools Thomas Huang Jet Propulsion Laboratory 4800 Oak Grove Drive, Mail Stop , Pasadena, CA Phone: , Cell: ,

Semantically Enabled Scientific Data Integration: SESDI Methodology Benedict, J., D. McGinness, and P. Fox, AGU 2007

ESIP Federation

tiwg/semantic-web/earth-science-data-system-projects- using-semantic-web

Next Steps Need for information content to support CEOS disasters pilots Proposal for collaboration between WGISS and ESIP Federation to develop methodology to identify key terms in Disaster domains -Terminology -Classification -Relationships WGISS-37 discussion tomorrow -Support to CEOS WG Disasters