Geo. Sci. ML: a standards-based encoding for transfer of geoscience information Simon Cox CSIRO Exploration and Mining 22 August 2005 www. csiro. au
Outline GML and Feature-Modelling methodology Highlights of the Geo. Sci. ML model Process and future plans Geo. Sci. ML
Geo. Sci. ML Scope: information required for production and maintenance of geologic maps Geo. Sci. ML
Precursors NADM – US/Canada § geologic instances and classifications – UML BRGM – France § Boreholes, solid geology BGS – DGSM – UK § 3 D geology XMML - e. Xploration and Mining Markup Language § Mineral exploration data – GML Geo. Sci. ML
Modelling methodology 1. Design using UML class diagrams • use strict profile of UML, compatible with GML meta-model & mapping rules 2. Prove it with Code • Hand-code sample instance documents according to UML-GML mapping rules – iterate 3. Generate XML Schema (GML Application Schema) • by hand following ISO 19136 rules or • automatically from UML (via XMI) using Shape. Change application Refer to: § ISO TS 19103 – Geographic Information: Conceptual Schema Language § ISO 19109 – Geographic Information: Rules for Application Schema § ISO DIS 19136 – Geography Markup Language v 3. 2 § XMML TWiki: UML-GML mapping rules & UML 2 GMLAS procedure Geo. Sci. ML
Example feature-type <sa: Specimen gml: id="sp 1" …> <gml: description>Specimen test instance</gml: description> <gml: name>Specimen test 1</gml: name> <sa: location> … </sa: location> <sa: sampled. On xlink: href="http: //my. big. org/station/st 13"/> <sa: sample. Time ></gml: Time. Instant … /></sa: sample. Time > <sa: material code. Space=“urn: x-seegrid: lexicon: specimen. Type">chips</sa: material> <sa: mass uom=“kg">0. 35</sa: mass> <sa: reporting. Specimen xlink: href="http: //my. big. org/specimen/sp 34"/> <sa: processing. Step> … </sa: processing. Step> <sa: processing. Step xlink: href="http: //my. big. org/pst/p 98"/> <sa: related. Observation xlink: href="http: //my. big. org/obs/m 45"/> Geo. Sci. ML </sa: Specimen>
Descriptions and occurrences Map polygon Observational setting Geo. Sci. ML Legend item
Controlled vocabulary Vocab. Relation is part of vocabulary Link to prototype instance is explicit Geo. Sci. ML
Standard model for descriptive values e. g. “Usually 2 mm to boulder-sized” Geo. Sci. ML
Geologic Timescale in conjunction with Chronos. org Geo. Sci. ML Cox & Richard, Geosphere
Observations and Sampling OGC Sensor Web Enablement See other talk … Geo. Sci. ML
Process IUGS Mandate “Regular” meetings § Edinburgh, November 2003 § Ottawa, April 2004 § Perth, December 2004 § Ottawa, August 2005 § Orleans, April 2006 § Bruxelles, September 2006 New participants included § GA, BRGM, SGU in 2006 Web collaboration tools § TWiki, Sub. Version Interoperability Testbeds § BGS + BRGM – 2004 § BGS + BRGM + USGS + GSC + SGU + GA – 2006 § See Duffy et al. Geo. Sci. ML
Status and future plans Geo. Sci. ML v 1. 1 – for 2006 testbed Geo. Sci. ML v 2. 0 – work already commenced Documentation § to be developed in 2006/07 § will include conformance tests as guide to software developers § to be submitted formal adoption by IUGS Vocabulary standardization § Geo. Sci. ML provides “structural” information model to house information § for full interoperability, property value-spaces must also be harmonized Portals and Registries § support discovery, service-chain composition https: //www. seegrid. csiro. au/twiki/bin/view/CGIModel/Geo. Sci. ML
Summary Geo. Sci. ML == GML Application Language for geoscience data Logical model, supports cartographic portrayal alongside other uses Model-driven design methodology, building on best predecessor projects Implementation technology consistent with emerging standards for Spatial Data Infrastructures Geo. Sci. ML
Geo. Sci. ML design team Boyan Brodaric, Eric Boisvert – GSC Steve Richard – Arizona GS Bruce Johnson – USGS John Laxton, Tim Duffy, Marcus Sen – BGS Bruce Simons, Alistair Ritchie – GSVic Ollie Raymond, Lesley Wyborn – GA Simon Cox – CSIRO + for testbed: Dale Percival – GA, Joost Van Ulden – GSC Francois Robida, Jean-Jacques Serrano, Christian Bellier, Dominique Janjou – BRGM Lars Stolen, Jonas Holmberg, Thomas Lundberg – SGU Geo. Sci. ML
CSIRO Exploration and Mining Name Simon Cox Title Research Scientist Phone +61 8 6436 8639 Email Simon. Cox@csiro. au Web www. seegrid. csiro. au Thank You Contact CSIRO Phone Email Web 1300 363 400 +61 3 9545 2176 enquiries@csiro. au www. csiro. au
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