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Subgroup 1• Collect interoperability requirements• Define common, unified data model• Engage tool & data providers, data consumers
Subgroup 2• Identify and catalog common observation types• Engage data providers and information managers
Subgroup 3• Define extension ontologies of scientific terms• Build on outputs of group 2• Engage range of domain scientists
Subgroup 4• Demonstrate interoperability across multiple systems• Define and prototype demonstration projects• Provide infrastructure to support other groups
Objectives of SONetBroad Objectives
Address semantic interoperability in environmental & earth sciences data [sharing, discovery, integration]
by building a network of practitioners (SONet), including domain & computer scientists, & information mgrs
to create generic, cross-disciplinary data interoperability solutions
Immediate Goals to Develop
• An extensible & open observations data model (“core model”) to unify domain-specific approaches
• A semantic (ontology) framework for scientific terminology and corresponding domain extensions
• Demonstration prototypes using the model and framework to address critical data interoperability issues
• Define and host Data Interoperability Challenge to test and refine above approaches
Community workshops … to bring together project members, data managers, domain scientists, computer scientists, and members
of the larger environmental informatics community
• Workshop 1: Collect detailed requirements and use cases to frame a “Scientific Observations Interoperability Challenge”; begin defining core model (held Oct, 2009)
• Workshop 2: Discuss various data models in terms of addressing “Scientific Observations Interoperability Challenge”; refine core model (expected Summer, 2010)
• Workshop 3: Roll-out of operational prototype; early evaluation and feedback• Workshop 4: Training; further evaluative discussion, and plan SONet sustainability
Similarities among Observational Data Models
Prototype Architecture for Applying Semantic Annotation
Subgroup 1:Core Data Model for
Observations
Subgroup 2:Catalog of Common Field Observations
Subgroup 3:Scientist-Oriented Term Organization
Subgroup 4:Demonstration
Projects
Core SONetTeam
ID# IN51B-1046 SONet: Towards a Shared Model for Earth Science ObservationsM. Schildhauer*1, H. Cao1, S. Bowers2, M. Jones1, D.L. McGuinness3, L.E. Bermudez4
1. NCEAS, Santa Barbara, CA, USA 2. Gonzaga University, Spokane, WA, USA
3. McGuinness Associates, Latham, NY, USA 4. Southeastern Universities Research Association, Washington DC, USA
* Contact: [email protected]
Entity
Context (other Observation)
Characteristic
Observation
Standard
hasCharacteristichasMeasurement
ofEntity
hasContext
usesStandard
Protocol
usesProtocol
FeatureOfInterest
ObservationContext
ObservedProperty
OM_Observation
Result
carrierOfCharacteristic
forProperty
relatedContextObservation
hasResult
OM_Process
usesProcedure
Precision Value
hasPrecision
ofCharacteristic
hasValue
References:
[1] Shawn Bowers, Joshua S. Madin and Mark P. Schildhauer, A Conceptual Modeling Framework for Expressing Observational Data Semantics. In ER 2008, 41-54.
[2] OpenGIS observations and measurements encoding standard (O&M): http://www.opengeospatial.org/standards/om
SEEK Extensible Observation Ontology (OBOE) [1]
OGC’s Observations and Measurements (O&M) [2]
Entity FeatureOfInterest
Characteristic ObservedProperty
Measurement OM_Observation
Protocol OM_Process
Result
Standard
Value
Precision
Context ObservationContext
Site Species Ind Wt …
GCE6 Picea Rubens 1 75.13 …
GCE6 Picea Rubens 2 179.81 …
GCE7 Picea Rubens 1 443.20 …
… … … … …
observation “o1”
entity “Point_Location”
measurement “m1” key yes
Characteristic “GCE_Local-Code”
Standard “Nominal”
observation “o2”
entity “Tree”
measurement “m2” key yes
Characteristic “SpeciesName”
Standard “TaxonomicName”
measurement “m3” key yes
Characteristic “Local-ID”
Standard “Nominal”
measurement “m4”
Characteristic “Mass”
Standard “Ratio”
context identifying yes “o1”
map “Site” to “m1”
map “Species” to “m2”
map “Ind” to “m3”
Map “Wt” to “m4”
observation “o1”
entity “Point_Location”
measurement “m1” key yes
Characteristic “GCE_Local-Code”
Standard “Nominal”
observation “o2”
entity “Tree”
measurement “m2” key yes
Characteristic “SpeciesName”
Standard “TaxonomicName”
measurement “m3” key yes
Characteristic “Local-ID”
Standard “Nominal”
measurement “m4”
Characteristic “Mass”
Standard “Ratio”
context identifying yes “o1”
map “Site” to “m1”
map “Species” to “m2”
map “Ind” to “m3”
Map “Wt” to “m4”
(b) Semantic annotation to dataset (a)
(a) Dataset
http://sonet.ecoinformatics.org Acknowledgements: NSF OCI INTEROP 0753144
Prototype Architecture
Productivity Mass Mass Unit
Kilogram
Biomass
usesStandard
Gram
is-a
Bio.EntityTree
Leaf LitterTree Leaf Wet Weight Dry Weight
ObservationObservation
MeasurementMeasurement
Site Species Ind Wt
GCE6 Picea Rubens 1 75.13
GCE6 Picea Rubens 2 179.81
GCE7 Picea Rubens 1 443.20
… … … …
Place Treat Plot LL
sth C 1 0.003
sth C 1 0.002
sth N 1 0.008
… … … …
Data
StructuralMetadata (e.g. EML)
<attribute id=“att.4”> <attributeName> Wt </attributeName></attribute>
<attribute id=“att.4”> <attributeName> LL </attributeName></attribute>
hasMeasurement hasMeasurement
0.001
Semantic Annotation(e.g. OBOE)
Domain-Specific Ontology
is-a is-ais-a
is-a is-a
has-part
has-part
hasCharac-teristic
is-a
part-of is-a has-multiplierusesBaseStandard
ofEntityofEntity
ofCharacteristic
usesStandard
usesStandard
ofCharacteristic
Measurement
ofFeature
