The document discusses developing a harmonized vocabulary for water quality properties by addressing issues with existing water quality vocabularies which use conflated and inconsistent definitions. It presents an Observable Property ontology that defines terms like substance, matrix, measurement procedure to standardize water quality data. Examples show how the vocabulary can improve data discovery, integration and reuse by linking terms to other vocabularies and representing measurements consistently. The vocabulary is published online and designed to be extensible to other domains.
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A harmonized vocabulary for water quality
1. A harmonized vocabulary for water quality
LAND AND WATER FLAGSHIP | OCEANS AND ATMOSPHERE FLAGSHIP
Jonathan Yu | Research engineer
HIC 2014, 17 August 2014
2. Outline
• Context and problem space – multiplicity of representations,
formats, formalisms, publication methods; conflated definitions
• Semantic web, linked data and tools
• Observable properties (OP) ontology
• Harmonized vocabulary for water quality using OP and published
as linked data
• Examples of interoperability using WQ vocabulary
3. Background
• Examples of water quality vocabularies collected during various
projects and activities – BOM, derm, QLD gov, intl
• Example of conflated vocab terms
Presentation title | Presenter name3 |
4. Are these the same? (eReefs data)
Cox, Simons, Yu | Observable property ontology
“nitrogen”
“dissolved nitrogen”
“Total nitrogen, water, filtered, milligrams per liter”
“Concentration of nitrogen (total) per unit volume of the water body [dissolved
plus reactive particulate phase] by oxidation and colorimetric autoanalysis“
“Concentration of nitrogen (total) per unit mass of the water body [dissolved plus
reactive particulate <GF/F phase] by filtration and high temperature Pt catalytic
oxidation”
“Concentration (moles or mass) of total nitrogen (i.e. nitrogen in all chemical
forms) in suspended particulate material per unit volume of the water column.”
“Concentration of nitrogen (total) {'PON'} per unit volume of the water body
[particulate 2-10um phase] by filtration, acidification and elemental analysis”
“Dissolved total and organic nitrogen concentrations in the water column”
4 |
5. How to use these? (NERC Vocab Service)
Cox, Simons, Yu | Observable property ontology5 |
http://vocab.nerc.ac.uk/collection/P01/current/N601S20Z/
http://vocab.nerc.ac.uk/collection/P01/current/BCMMCF07/
6. Mix-n-match definitions
Concentration of /
benz(a)anthracene {CAS 56-55-3} /
per unit wet weight of biota /
{Limanda limanda (ITIS: 172881: WoRMS 127139) [Sex: male /
Subcomponent: liver]}
Cox, Simons, Yu | Observable property ontology6 |
Substance | matrix-relationship | context of matrix (taxon) | matrix | method
9. Prior work (3)
Cox, Simons, Yu | Observable property ontology
http://purl.obolibrary.org/obo/chebi.owl
>36 000 chemical entities
9 |
• ChEBI
10. Observable property ontology (OP)
Enhancing water quality data service discovery and access using standard vocabularies | Jonathan Yu10 |
http://environment.data.gov.au/water/quality/def/op
11. Water quality vocabulary (example)
Enhancing water quality data service discovery and access using standard vocabularies | Jonathan Yu11 |
12. AGU Fall 2013 | IN52B-08 | Cox, Simons, Yu | Vocabulary re-use
Linked to SKOS
14. AGU Fall 2013 | IN52B-08 | Cox, Simons, Yu | Vocabulary re-use
How does this relate to O&M?
class O&M_v1_AnnexC_Figure6
«GF_PropertyType»
PropertyType
«GF_PropertyType»
ConstrainedPropertyType
+ otherConstraint :CharacterString [0..*]
+ singleConstraint :Any [0..*]
+base
1
[Scaled]QuantityKind
qudt:generalization
op:constraint
Cox, S. J. D. (ed.) (2007). Observations and Measurements – Part 1 - Observation schema. OGC 07-022r1, Open Geospatial Consortium
Inc.
“Concentration”
“nitrogen” op:featureOfInterest
op:procedure
PropertyKind
op:matrix
op:objectOfInterest
15. Examples of interoperability using WQ vocabulary
• WaterML 2.0-WQ OGC best practice
• eReefs data discovery use case
Presentation title | Presenter name15 |
16. Extensibility
• Ability to extend WQ Vocab with additional terms
• Ability to re-use OP ontology for other domains
• Ability to integrate between vocabularies using OP
• Build and reuse tooling around the vocabulary and vocabulary
services
Presentation title | Presenter name16 |
17. Summary
• Observable property vocabularies should be
• Standardized
• Published
• Extend / re-use existing vocabularies where possible
• Publish it somewhere good
http://environment.data.gov.au/def/property/
http://environment.data.gov.au/def/object/
http://environment.data.gov.au/def/unit/
http://environment.data.gov.au/def/op
http://sissvoc.ereefs.info/search
Cox, Simons, Yu | Observable property ontology17 |
18. Jonathan Yu
Research Software Engineer
Jonathan.Yu@csiro.au
Bruce Simons
SDI Modeller
Bruce.Simons@csiro.au
ADD BUSINESS UNIT/FLAGSHIP NAME
Thank you
Terms of use: Image sources from Wikipedia under CC2.0 licence
http://en.wikipedia.org/wiki/File:Amazing_Great_Barrier_Reef_1.jpg
Simon Cox
Research Scientist
Simon.Cox@csiro.au
http://ereefs.org.au/
Notas do Editor
NVS is probably the most widely used large vocabulary service.
The “P01” vocabulary contains an inventory of observed properties from the oceanography community.
It contains 30,000+ entries, some simple, but most of which have long names because they are very specific.
More later …
Going back to the NVS parameters:
The name is a combination of facets.
For example, most of the ‘concentration of’ or ‘abundance of’ parameters are specified in terms of
The substance (benzanthracene)
The matrix (liver)
Matrix context (Limanda limanda – male)
Matrix relationship (per unit weight of biota)
A method (sensor, instrument, protocol – not specified in this case)
With even small numbers of these facets, in combination you can get to a large number of specialized parameters
Roy Lowry (NVS) refers to the combination of multiple facets as ‘one armed bandit wheels’
In terms of the OP ontology, these facets are all ‘constraints’, but the specific ones used in NVS could be pointers to a refinement or specialization of OP.
Comment briefly that we’ve been developing a multi-purpose ontology for describing observable properties that harmonize with existing ontologies but propose additional properties and classes
Associate various objects with one another
Allows vocabularies to be structured using it – e.g water quality vocab
Looking at these properties:
The model for observable properties can be mapped to the model for Property Types described in Observations and Measurements v1.0.
The key concept from O&M for our purposes is the ConstrainedPropertyType class.
This specializes a generic PropertyType by modifying a base with the addition of constraints.
In the implementation described here, ‘base’ is mapped to qudt:generalization, which we have asserted is equivalent to skos:broader.
‘singleConstraint’ is implemented as wqop:constraint, with a subProperty wqop:objectOfInterest.
So a ScaledQuantityKind, such as “nitrogen concentration”, may be a narrower concept of “concentration” with a “nitrogen” objectOfInterest.
Also links to
SWEET
DBPedia
QUDT units and quantity instances
X-walk to NERC
*match predicates