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An Ontology for Marine Observables

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.

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An Ontology for Marine Observables

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  1. 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

  2. Started with Platforms.. We thought it was easier…

  3. Background and Motivation MMI Workshop Advancing Domain Vocabularies Aug. 2005 Sensor Group

  4. Controlled Vocabulary for Data Producers Background and Motivation SensorML instance for a system (http://vast.nsstc.uah.edu/SensorML/)

  5. Controlled Vocabulary for Web Portals Background and Motivation MOQuA environment (http://aosn.mbari.org/moqua/)

  6. 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: ont@marinemetadata.org • One meeting face to face: Lunch at Geoinformatics Conference this month.

  7. Ontology - Classes

  8. Ontology - Classes

  9. Ontology - Classes

  10. Ontology - Classes

  11. Ontology - Properties of a Platform 20060410 20060514 Extrensible Approach

  12. Univesal Realms - based on SWEET

  13. Conclusions • More classes were created for WaterBasedPlatforms than others - due to the expertise of the participants in this domain. • ObjectProperties are preferred over DatatypeProperties

  14. 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

  15. GOAL: “Promote collaborative research in the marine science domain, by simplifying the incredibly complex world of metadata into specific, straightforward guidance” • Advertise • Distribute • Reuse • Combine • Publish Make sense Data complexity and heterogeneity from observed data source in the MUSE Project http://www.mbari.org/MUSE/

  16. 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)

  17. Data life cycle Data Source processes: formats/archives sends gets Community gets Guides & Tools sends Technology processes: formats/archives processes: uses/analyzes gets Data User publishes Data Provider

  18. Our Guides Executive Committee • John Graybeal, MBARI. (PI) • Philip Bogden, SURA/SCOOP • Stephen Miller, SIO. • Francisco Chavez, MBARI. • Stephanie Watson, Texas A&M Steering Committee • 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

  19. MMI: http://marinemetadata.org Observing Sources Work: /sources Ont List: ont@marinemetadata.org

  20. 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

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