an ontology for marine observables
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An Ontology for Marine Observables
May 2006
Luis Bermudez
Robert Arko
Marilyn Drewry
John Graybeal
Roy Lowry
Kevin O’Neill
Rob Raskin
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Started with Platforms.. We thought it was easier…
May 2006
Luis Bermudez
Robert Arko
Marilyn Drewry
John Graybeal
Roy Lowry
Kevin O’Neill
Rob Raskin
An Ontology for Instrument Platforms
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NSF starter funding, with SURA(ONR) in-
kind support, NOAA CSC bridge funds.
International contributions and support.
Main deliverables: web site, a
community, demonstrations and tools.
Goal for future: Solve the metadata
problem.
Background and MotivationMarine Metadata Interoperability
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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/)To be used in Tethys and OpenIOOS interoperability demonstrations
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 interested.
One milestone: 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.
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Ontology - Classes
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Ontology - Classes
Alignment with other vocabularies
CDI = Common Data Index developed bySEA-SEARCH partners. (30 European Coastal States)
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Ontology - Classes
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Ontology - Classes
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Ontology - Properties of a Platform
20060410
20060514
Extensible Approach
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Universal Realms - based on SWEET
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Lessons Learned
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Use - case driven
The construction process depends on how will the ontology be used
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Use - case driven
http://marine.rutgers.edu/coolroom/education/upwelling.htm
A buoy senses an upwelling event Is there a research vessel around to measure in more detail the phenomena? Are there any AUVs near by that can change their route (adapt) ?
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Guides necessary for ontology non-experts
First session: Protégé Pizza Ontology
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Ontology guides
A Practical guide to building OWL Ontologies using the Protege-OWL Plugin.. (Horridge M., Knublauch H., et. al.)
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Issues Pizza Guides:Lack of complicated properties such as
Mobility.Lack of comparison between individuals
(Wine ont.) vs classes (Pizza Ont.) constructs.
Ontology expertise in the group is essential to provide real-time input. For example… is immobile a mobile quality ?
Ontology guides
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Class Name Constructs
Adjectives-Noun placement order. In English
adjective goes first. (ResearchVessel instead of
VesselResearch). Same pattern was applied in
DOLCE. KOALA, PIZZA ontologies.
Prefer the common marine term than the logic term.
(DriftingBuoy instead of UnmooredBuoy)
CamelCase preferred vs Hyphen and underscores.
(ResearchVessel instead of Research_Vessel or
Research-Vessel)
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Criteria to add a new term
It is not already in the ontology. It can have a property that differentiates it
from its siblings. (e.g. ship and boat. The dimension of a ship is bigger than a boat.)
A super-class is promoted when similarities are found among concepts. (e.g. Both Buoy and Research Vessel hasEarthRealmBase water. A new class can be created called WaterBasedPlatform.)
A term can be categorized under 2 or more categories. (e.g. Amphibious crawler.)
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Debugging an Ontology
We use Pellet reasoner to automatically classified the ontology and to find inconsistencies.
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Tools and Resources
Concept Schemes: SWEET, CDI Platform Codes, GCMD and Wordnet.
Dictionaries /pedias: Wikipedia, Dictionary.org.
Google, where you can get individual marine science and technology web sites.
Tools: Protégé, SWOOP and Pellet.
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Web Conferencing
WEBEX better than solely email list.
We should explore other options like Access Grid VC.
If possible face to face meetings is the best choice.
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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.
Is a long process - agreement is not easy. Keep guides and ontology experts around. Keep groups maximum around 5-7. Watch out - you may become addicted !
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Future Work
Clean up the ontology. Publishing it. Find best mechanism to “keep it alive”.
Reviewing concepts, adding new concepts, controlling versioning, etc…
Continue the work towards a sensor ontology. Build services ( Web Services to query and
map ) around these ontologies. Promote the ontology to enrich it.
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Future Work
Sensor Interoperability Metadata workshop
October 2006
http://marinemetadata.org/workshop06
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MMI: http://marinemetadata.org
Observing Sources Work: /sources
Ontology: /sources/platforms20060508.owl
Ont List: ont@marinemetadata.org
Email: bermudez@mbari.org
Thank you
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