Steps toward grid-based geological survey: Suggestions for a systems framework of models, ontologies, and workflows

Geosphere

Volumn 3, Issue 5, 2007, Pages 319-336

  Loudon, T V ^a   Laxton, J L ^a  

^a BRITISH GEOLOGICAL SURVEY   (United Kingdom)

Author keywords

Expert systems; Information systems; Ontologies; Survey organizations; Workflows

Indexed keywords

EXPERT SYSTEM; GEOLOGICAL SURVEY; INFORMATION AND COMMUNICATION TECHNOLOGY; REGIONAL GEOLOGY; SOLID EARTH;

EID: 57949114015     PISSN: None     EISSN: 1553040X     Source Type: Journal    
DOI: 10.1130/GES00095.1     Document Type: Article

References (44)

1. Alper, P., Corcho, O., Kotsiopoulos, I., Missier, P., Bechhofer, S., Kuo, D., and Goble, C., 2006, S-OGSA as a reference architecture for OntoGrid and for the Semantic Grid: Paper presented at the Global Grid Forum (GGF16) in Athens, Greece, February 2006, http://www.semanticgrid.org/GGF/ggf16/papers/OntoGrid-GGF16-SemGrid-Wrkshp.pdf.
2. Alvarado, M., Bañares-Alcántara, R., and Trujillo, A., 2005, Improving the organisational memory by recording decision making, rationale and team configuration: Journal of Petroleum Science Engineering, v. 47, p. 71-88, doi: 10.1016/j.petrol.2004.11.009.
3. Berners-Lee, T., Hendler, J., and Lassila, O., 2001, The Semantic Web: ScientificAmerican.com, May 17, 2001: http://www.sciam.com/article.cfm?articleID=00048144-10D2-1C70-84A9809EC588EF21.
4. Boguraev, B., and Ando, R.K., 2005, TimeML-compliant text analysis for temporal reasoning: http://www.ijcai.org/papers/1202.pdf.
5. Brodaric, B., and Hastings, J., 2002, An object model for geologic map information, in Richardson, D., and Van Oosterom, P. eds., Advances in spatial data handling: Tenth International Symposium on Spatial Data Handling: New York, Springer-Verlag, p. 55-68.
6. Brodaric, B., and Gahegan, M., 2006, Representing geoscientifi c knowledge in infrastructure: Some challenges, approaches, and implementations, in Sinha, A.K., ed.,Geoinformatics: Data to knowledge: Geological Society of America Special Paper 397, p. 1-20.
7. Carey, S.W., 1962, Scale of geotectonic phenomena: Journal of the Geological Society of India, v. 3, p. 97-105.
8. CGI, 2007a, Commission for the management and application of geoscientifi c information: http://www.bgs.ac.uk/cgi_web/.
9. CGI, 2007b, CGI data model collaboration: https://www.seegrid.csiro.au/twiki/bin/view/CGIModel/WebHome.
10. CGI, 2007c, GeoSciML V2 candidate release schema: https://www.seegrid.csiro.au/twiki/bin/viewfile/CGIModel/HarmonizedModel?rev=1;filename=V2SchemaAll051907.pdf.
11. Cornell University, 2007, The science of Earth systems: The evolution of a new scientifi c approach: http://www.geo.cornell.edu/eas/education/new_ses/newses.html.
12. De Roure, D., 2007, The Semantic Grid: vision: http://www.semanticgrid.org/vision.html.
13. Emmott, S., ed., 2006, Towards 2020 science: Cambridge, UK, Microsoft Research, 82 p, http://research.microsoft. com/towards2020science/downloads.htm and http://www.nature.com/nature/focus/futurecomputing/index.html.
14. Foster, L., and Kesselman, C., eds., 2003, The Grid: Blueprint for a new computing infrastructure, 2nd edition: San Francisco, Morgan Kaufmann, 748 p.
15. GENIE, 2007, Grid enabled integrated Earth systems model: http://www.genie.ac.uk/index.htm.
16. GEON, 2007, The Geosciences Network: http://www.geongrid.org/about.html.
17. GridSphere, 2007, GridSphere Portal Framework: http://www.gridsphere.org/gridsphere/gridsphere/guest/home/r/.
18. Gruber, T.R., 1993, A translation approach to portable ontologies: Knowledge acquisition, v. 5, no. 2, p. 199-220, doi: 10.1006/knac.1993.1008.
19. Harrison, J.M., 1963, Nature and signifi cance of geological maps, in Albritton, C.C. ed., The fabric of geology: Stanford, Freeman, Cooper & Company, p. 225-232.
20. Hay, G.J., Dubé, P., Bouchard, A., and Marceau, D.J., 2002, A scale-space primer for exploring and quantifying complex landscapes: Ecological Modelling, v. 153, no. 1-2, p. 27-49, http://www.geog.umontreal.ca/gc/PDFs/New_PDFs/Hay_2002_EcoMod_Full.pdf. International Commission on Stratigraphy, 2007: http://www.stratigraphy.org/.
21. Kent, W., 1978, Data and reality: Amsterdam, North-Holland Publishing Company, 211 p.
22. Kepler, 2007, Kepler Project: http://kepler-project.org.
23. Kuhn, T.S., 1962, The structure of scientifi c revolutions: Chicago, The University of Chicago Press, 172 p.
24. Loudon, T.V., 2000, Geoscience after IT: A view of the present and future impact of information technology on geoscience: Oxford, Elsevier, 140 p. (Also available as 2000, Computers & Geosciences, v. 26, p. A1-A142.)
25. Ludäscher, B., Liu, K., Brodaric, B., and Baru, C., 2003, GEON: Toward a cyberinfrastructure for the geosciences- A prototype for geologic map integration via domain ontologies: U.S. Geological Survey Open-File Report 03-471, http://pubs.usgs.gov/of/2003/of03-471/ludascher/.
26. Ludäscher, B., Lin, K., Bowers, S., Jaeger-Frank, E., Brodaric, B., and Baru, C., 2006. Managing scientifi c data: From data integration to scientifi c workfl ows, in Sinha, A.K. ed., Geoinformatics: Data to knowledge: Geological Society of America Special Paper 397, p. 109-129. http://users.sdsc.edu/~ludaesch/Paper/gsa-sms.pdf.
27. Minsky, M., 1981, A framework for representing knowledge. Reprinted, p. 95-128, in Haugeland, J., ed., Mind design: Cambridge, Massachusetts Institute of Technology Press, 368 p.
28. Natural Resources Canada, 2007, Consolidating Canada's geoscience knowledge: http://ess.nrcan.gc.ca/2002_2006/ccgk/index_e.php.
29. National Research Council (U.S.), 1993, Solid-Earth Sciences and Society: Washington, DC, National Academy of Sciences, 346 p.
30. Nicolis, G., and Prigogine, I., 1989, Exploring uncertainty: New York, W.H. Freeman, 313 p.
31. North American Geologic Map Data Model Steering Committee, 2004, NADM Conceptual Model 1.0, A conceptual model for geologic map information: Geological Survey of Canada, Open File 4737, 1 CD-ROM; U.S. Geological Survey Open-File Report 2004-1334, 58p., http://pubs.usgs.gov/of/2004/1334, http://nadm-geo.org/, http://geopub.nrcan.gc.ca/moreinfo_e.php?id=215903.
32. OMG, 2007, The Object Management Group and Service Oriented Architecture: http://www.omg.org/attachments/pdf/OMG-and-the-SOA.pdf.
33. Pinker, S., 1997, How the mind works: New York, Norton, 660 p.
34. Rafols, E.J., Ring, M.B., Sutton, R.S., and Tanner, B., 2005, Using predictive representations to improve generalization in reinforcement learning: Proceedings of the 2005 International Joint Conference on Artifi-cial Intelligence, p. 835-840, http://www.cs.ualberta.ca/%7Esutton/papers/RRST-ijcai05.pdf.
35. Raskin, R., 2006, Development of ontologies for earth system science, in Sinha, A.K. ed., Geoinformatics: Data to knowledge: Geological Society of America Special Paper 397, p. 195-199.
36. Richard, S.M., 2006, Geoscience concept models, in Sinha, A.K., ed., Geoinformatics: Data to knowledge: Geological Society of America Special Paper 397, p. 81-107.
37. Sen, M., and Duffy, T., 2005, GeoSciML: Development of a generic geoscience markup language: Computers & Geosciences, v. 31, no. 9, p. 1095-1103, doi: 10.1016/ j.cageo.2004.12.003.
38. Simpson, G.G., 1963, Historical science, in Albritton, C.C., ed., 1963. The fabric of geology: Stanford, Freeman, Cooper & Company, p. 24- 48.
39. Skaalid, B., 1999, Gestalt principles of perception: College of Education, University of Saskatchewan: http://www.usask.ca/education/coursework/skaalid/theory/gestalt/gestalt.htm.
40. Smith, I.F., ed., 2005, Digital geoscience spatial model project, fi nal report: British Geological Survey Occasional Publication, no. 9, 56 p.
41. SUO WG, 2003, Standard Upper Ontology Working Group (SUO WG) Home Page. IEEE P1600.1 http://suo.ieee.org/.
42. Sutton, R.S., and Barto, A.G., 1998, Reinforcement learning: An introduction: Cambridge, Massachusetts Institute of Technology Press, http://www.cs.ualberta.ca/~sutton/book/ebook/the-book.html.
43. Van Wagoner, J.C., Hoyal, D.C.J.D., Adair, N.L., Sun, T., Beaubouef, R.T., Deffenbaugh, M., Dunn, P.A., Huh, C., and Li, D., 2003, Energy dissipation and the fundamental shape of siliciclastic sedimentary bodies: Search and discovery article #40080, http://www.searchanddiscovery.com/.
44. Walsham, G., 2005, Knowledge management systems: Representation and communication in context: Systems, Signs & Actions, v. 1 (1), p. 6-18, http://www.sysiac.org/uploads/1-1-Walsham.pdf.