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deep semantics in the geosciences:
semantic building blocks for a
complete geoscience infrastructure
Brandon Whitehead and Mark Gahegan
Centre for eResearch
The University of Auckland
8th Australasian Ontology Workshop
20120412
outline
1. geoscience background
2. what is deep semantics
3. ontologies created and the creation process
4. two examples of use
5. future work 2
representing observations as data
5
6
d
7
9
P E/SH
Ruling	
  hypothesis
Mul0ple	
  sequen0al	
  hypotheses
Mul0ple	
  parallel	
  hypotheses
Composite	
  hypotheses
P
P
H1 R
H2
H3
H4
R
R
E/S
H1
H2
H3
H4
R
R
R
E/S
P
H2
H3
H4
E/S
H1 R
H2	
  +	
  H3	
  +	
  H4
paths	
  to	
  explana7on	
  (Schumm,	
  1991)
a case for deep semantics
In the geosciences, it is not only important to
capture and formalise what is known, but how it is
known.
deep- as in deeply examining the conceptual
structure and complexities of the domain in order
to provide enough specificity in the concepts and
relations that they are useful terms to differentiate
complex but real situations (as they are found in
research artefacts).
10
workshop | Subject Matter Expert (SME)
An initial set of terms collected from source materials were used to
spark discussion throughout the knowledge acquisition exercise
Experts work together to disambiguate conceptual semantics
Basin Ontology (v1)
possible states of a basin
Concepts and relationships are codified using the Web Ontology Language (OWL) which
allows for a semantic relationship to other concept spaces and description frameworks used in
the domain
other semantic facets
1. Dublin Core Metadata Initiative (DCMI) schema
18
other semantic facets
1. Dublin Core Metadata Initiative (DCMI) schema
2. task ontology
-includes observations, methods and processes like
data collection, data manipulation, statistical methods, etc.
3. World Oil and Gas ontology
-from World Oil and Gas Atlas (Guoyo, 2010)
4. Oilfield glossary
-Schlumberger online glossary of terms
21
We now have a codified, formal representation of
concepts relevant facets related to basin
characterisation and reservoir analysis.
…now what do we do with it?
The ontology is used to identify semantic connections in
research artefacts (i.e., document collections)
Conceptual neighbourhood of an artefact
ConceptVista, Gahegan et al.
Geographical neighbourhood of an artefact, or set of
artefacts
Looking for a location
mentioned in a document?
And the resources near it?
The geographic extent of an artefact coordinated with the
highlighting of recognised concepts
two quick examples
-Alfred as a visual environment
-completely transparent and customisable
27
Adam Jones
Adam Jones
Danny Carey
31
32
33
Future work
• Can geologic analogs be mined from artefact
collections?
• How can large collections be tagged effectively?
• What concepts are needed to extend the
spectrum from very high level ontological
components (DOLCE) and concepts to those
found in published materials?
• Interface (complexity, fluidity, etc.)
Fín

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`deep' semantics in the geosciences: semantic building blocks for a complete geoscience infrastructure

  • 1. deep semantics in the geosciences: semantic building blocks for a complete geoscience infrastructure Brandon Whitehead and Mark Gahegan Centre for eResearch The University of Auckland 8th Australasian Ontology Workshop 20120412
  • 2. outline 1. geoscience background 2. what is deep semantics 3. ontologies created and the creation process 4. two examples of use 5. future work 2
  • 3.
  • 5. 5
  • 6. 6
  • 7. d 7
  • 8.
  • 9. 9 P E/SH Ruling  hypothesis Mul0ple  sequen0al  hypotheses Mul0ple  parallel  hypotheses Composite  hypotheses P P H1 R H2 H3 H4 R R E/S H1 H2 H3 H4 R R R E/S P H2 H3 H4 E/S H1 R H2  +  H3  +  H4 paths  to  explana7on  (Schumm,  1991)
  • 10. a case for deep semantics In the geosciences, it is not only important to capture and formalise what is known, but how it is known. deep- as in deeply examining the conceptual structure and complexities of the domain in order to provide enough specificity in the concepts and relations that they are useful terms to differentiate complex but real situations (as they are found in research artefacts). 10
  • 11. workshop | Subject Matter Expert (SME)
  • 12. An initial set of terms collected from source materials were used to spark discussion throughout the knowledge acquisition exercise
  • 13. Experts work together to disambiguate conceptual semantics
  • 15.
  • 17. Concepts and relationships are codified using the Web Ontology Language (OWL) which allows for a semantic relationship to other concept spaces and description frameworks used in the domain
  • 18. other semantic facets 1. Dublin Core Metadata Initiative (DCMI) schema 18
  • 19.
  • 20.
  • 21. other semantic facets 1. Dublin Core Metadata Initiative (DCMI) schema 2. task ontology -includes observations, methods and processes like data collection, data manipulation, statistical methods, etc. 3. World Oil and Gas ontology -from World Oil and Gas Atlas (Guoyo, 2010) 4. Oilfield glossary -Schlumberger online glossary of terms 21
  • 22. We now have a codified, formal representation of concepts relevant facets related to basin characterisation and reservoir analysis. …now what do we do with it?
  • 23. The ontology is used to identify semantic connections in research artefacts (i.e., document collections)
  • 24. Conceptual neighbourhood of an artefact ConceptVista, Gahegan et al.
  • 25. Geographical neighbourhood of an artefact, or set of artefacts Looking for a location mentioned in a document? And the resources near it?
  • 26. The geographic extent of an artefact coordinated with the highlighting of recognised concepts
  • 27. two quick examples -Alfred as a visual environment -completely transparent and customisable 27
  • 31. 31
  • 32. 32
  • 33. 33
  • 34. Future work • Can geologic analogs be mined from artefact collections? • How can large collections be tagged effectively? • What concepts are needed to extend the spectrum from very high level ontological components (DOLCE) and concepts to those found in published materials? • Interface (complexity, fluidity, etc.)
  • 35. Fín