An Ontology for Marine Observables

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An Ontology for Marine Observables May 2006 Luis Bermudez John Graybeal Rob Raskin Robert Arko Kevin O’Neill Roy Lowry An Ontology for Marine Observers DRAFT v.May 19 2006

description

An Ontology for Marine Observers. An Ontology for Marine Observables. Luis Bermudez John Graybeal Rob Raskin Robert Arko Kevin O’Neill Roy Lowry. DRAFT v.May 19 2006. May 2006. Started with Platforms .. We thought it was easier…. Background and Motivation. - PowerPoint PPT Presentation

Transcript of An Ontology for Marine Observables

Page 1: An Ontology for Marine Observables

An Ontology for Marine Observables

May 2006

Luis Bermudez

John Graybeal

Rob Raskin

Robert Arko

Kevin O’Neill

Roy Lowry

An Ontology for Marine Observers

DRAFT v.May 19 2006

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Started with Platforms.. We thought it was easier…

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Background and Motivation

MMI Workshop Advancing Domain Vocabularies Aug. 2005 Sensor Group

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Background and Motivation

SensorML instance for a system (http://vast.nsstc.uah.edu/SensorML/)

Controlled Vocabulary for Data Producers

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Background and Motivation

MOQuA environment (http://aosn.mbari.org/moqua/)

Controlled Vocabulary for Web Portals

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Strategy

Overall Strategy: Public Effort -> Invited all the communities intersted.

One mylestone: Version 1.0 Beta - May 2006 5 Web conferencing Telecons - 3 hours each Mailing List: [email protected] One meeting face to face: Lunch at

Geoinformatics Conference this month.

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Ontology - Classes

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Ontology - Classes

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Ontology - Classes

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Ontology - Classes

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Ontology - Properties of a Platform

20060410

20060514

Extrensible Approach

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Univesal Realms - based on SWEET

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Conclusions

More classes were created for WaterBasedPlatforms than others - due to the expertise of the participants in this domain.

ObjectProperties are preferred over DatatypeProperties

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The Marine Metadata Initiative

NSF starter funding, with SURA(ONR) in-kind support, NOAA CSC bridge funds

International contributions and support Main deliverables: web site, and a community Goal for future: Solve the metadata problem

At least, creating effective processes to improve it Asking world wide contributors, to work with us Identifying strategies and partners for operations

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GOAL: “Promote collaborative research in the marine science domain, by simplifying the incredibly complex world of metadata into specific, straightforward guidance”

Make sense

• Advertise• Distribute• Reuse• Combine• Publish

Data complexity and heterogeneity from observed data source in the MUSE Project http://www.mbari.org/MUSE/

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Marine Metadata Interoperability Initiative ~ 260 members. > 950 documents available. First place in Google search for: "marine metadata”. 11 major presentations in first year (e.g. DMAC, OBIS, Oceans,

GEON, OOSTech, AGU). 10 virtual tutorials given related to marine ontologies, tools and

web services. Workshop “Advancing Domain Vocabularies” August 2005,

Boulder, CO. Virtual worskhop to create an ontology for platforms and sensor

types. Tools: VINE, VOC2OWL, Ontology Web Services, Tethys,

Tethys-Axis (Available at Sourceforge)

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Data life cycle

Data Source

Data ProviderData User

gets

processes:formats/archives

publishesgets

processes: uses/analyzes

sendsgets

processes: formats/archives

sends

<<MMIMMI /> />

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Our Guides

Taco de Bruin, NIOZ Robert Arko, LDEO Julie Bosch, NOAA Ben Domenico, Unidata Karen Stocks, SDSC Steve Hankin, NOAA -

Ocean.US/DMAC

Mark Musen, Stanford Univ Michael Parke, Univ of Hawaii Lola Olsen, NASA Goddard Bob Weller, WHOI Dawn Wright, Oregon State

University

Steering Committee

Executive Committee

John Graybeal, MBARI. (PI) Philip Bogden, SURA/SCOOP

Stephen Miller, SIO. Francisco Chavez, MBARI.

Stephanie Watson, Texas A&M

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MMI: http://marinemetadata.org

Observing Sources Work: /sources

Ont List: [email protected]

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Cont.

MMI demo: http://marinemetadata.org:9600/tethysPortal/search.jsp

MMI tool to create SOAP Web Services:

http://marinemetadata.org/tethysaxis Good example of data categorization:

http://www.furniturefind.com