Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/512161.512190acmconferencesArticle/Chapter ViewAbstractPublication PagesgisConference Proceedingsconference-collections
Article

Learning geoscience categories in Situ: implications for geographic knowledge representation

Published: 09 November 2001 Publication History

Abstract

This paper explores the development of categories shared in the field logging of a region by a team of geologists. Visualization, neural networks and spatial statistical tools are employed to gain insight into the complex space of attributes observed, and into the categories developed. Background material and a discussion of results examines the findings in the light of research into category development, and specifically how categories are thought to be formed and modified as part of the (geo)scientific process and the situations encountered. Results show that (1) category discrepancy exists between individuals; (2) category development or revision is evident among individuals; and (3) that some categories do not seem to be totally defined by observed data alone. The results imply that contextual factors should also be considered when adopting ontological approaches to information representation.

References

[1]
Arbib, M.A., and Hesse M.B. (1986). The construction of reaility. Cambridge University Press, New York.
[2]
Barsalou, L.W. (1983). Ad-hoc categories. Memory and Cognition, 11, 211--227.
[3]
Benslimane, D., Leclercq, E., Savonnet, M., Terrasse, M.-N., and Yetongnon, K. (2000). On the definition of generic multi-layered ontologies for urban applications. Computers, Environment, and Urban Systems, 24, 191--214.
[4]
Brodaric, B., Gahegan, M., Takatsuka, M., and Harrap, R. (2000) Geocomputing with geological field data: is there a ghost in the machine? Proceedings, GeoComputation 2000, Chatham, August 23--25.
[5]
Clancey, W.J. (1993). The knowledge level reinterpreted: modeling socio-technical systems. International Journal of Intelligent Systems, 8, 33--49.
[6]
Clancey, W.J. (1997). Situated Cognition: on human knowledge and computer representations. Cambridge University Press, New York.
[7]
Fonseca, F. T., Egenhofer, M. J., Clodoveu, A. D. Jr., and Borges, K. A. V. (2000). Ontologies and Knowledge Sharing in Urban GIS. Computers, Environment, and Urban Systems, 24(3), 251--272.
[8]
Frank, A., and Raubal, M. (1999). Formal specifications of image schemata - a step towards interoperability in geographic information systems. Spatial Cognition and Computation, 1 (1), 67--101.
[9]
Gahegan, M. (2000). On the application of inductive machine learning tools to geographical analysis. Geographical Analysis, 32(1).
[10]
Gahegan, M, Takatsuka, M., Wheeler, M. and Hardisty, F. (2000). GeoVISTA Studio: A Geocomputational Workbench. Proceedings, GeoComputation 2000, Chatham, Aug. 23--25.
[11]
Guarino, N. (1997). Understanding, building, and using ontologies. International Journal of Human-Computer Studies, 46, 293--310.
[12]
Hanmer, S. and Relf, C. (2000) Western Churchill NATMAP Project: new results and potential significance; Proceedings, GeoCanada 2000, Calgary, May 29-June 2.
[13]
Kohonen, T. (1997). Self-organizing maps. Berlin, NY.
[14]
Kohonen, T., Hynninen, J., Kangas, J., and Laaksonen, J. (1995). SOM_PAK, The Self-Organizing Map Program Package, version 3.1 (April 7, 1995).
[15]
Lakoff, G. (1987). Women, Fire and Dangerous Things. University of Chicago Press, Chicago.
[16]
Mann, C.J., 1993. Uncertainty in Geology. In Davis, J.C. and Herzfeld, U.C. (Eds.), Computers in Geology-25 Years of Progress. Oxford University Press, New York.
[17]
Medin, D.L. (1989). Concepts and Conceptual Structure. American Psychologist, 44(12), 1469--1481.
[18]
Peuquet, D., Smith, B., and Brogaard, B. (1999). The Ontology of Fields. Report of a Specialist Meeting held under the auspices of the Varenius Project, 11--13 June 1998, Bar Harbour, ME.
[19]
Raper, J. (1999). Spatial Representation: the scientist's perspective. In P.A. Longely, M.F. Goodchild, D.J. Maquire, and D.W. Rhind (Eds.), Geographical Information Systems: Principles and Technical Issues, Wiley, New York, 61--70.
[20]
Sammon, J.W. Jr. (1969). A Nonlinear Mapping for Data Structure Analysis. IEEE Transactions on Computers, C-18, 5, 401--408.
[21]
Schuurman, N. (1999). Critical GIS: Theorizing an Emerging Science. Cartographica, 36(4).
[22]
Schumm, S.A. (1991). To Interpret the Earth:Ten ways to be wrong. Cambridge, New York.
[23]
Smith, L. B. and Samuelson, L. K., (1997). Perceiving and remembering: Category stability, variability and development. In Lamberts K. and Shanks, D. (Eds.), 1997. Knowledge, Concepts, and Categories. MIT Press, Cambridge, MA, 161--196.
[24]
Solomon, K. O., Medin, D. L., and Lynch, E. (1999). Concepts do more than categorize. Trends in Cognitive Sciences, 3(3), 99--104.
[25]
Sowa, J.F. (1995). Top-level ontological categories. International Journal of Human-Computer Studies, 43, 669--685.
[26]
Sutcliffe, J. P., (1993) Concept, class, and category in the tradition of Aristotle. In Mechelen, I. V., Hampton, J., Michalski, R. S., and Theuns, P. (Eds.) Categories and Concepts: theoretical views and inductive data analysis. Academic, New York, 35--66.
[27]
Tella, S., Hanmer, S., Sandeman, H. A., Ryan, J. J., Hadlari, T., Mills, A. and Kerswill, J. A. (1999) Geology, Parts of MacQuoid-Gibson lakes area, Kivalliq Region, Nunavut; Geological Survey of Canada, Open File 3701; Geological Survey of Canada, scale 1:50 000.
[28]
Wisniewski, E.J. & Medin, D.L. (1994). On the interaction of theory and data in concept learning. Cog. Sci., 18, 221--281.

Cited By

View all
  • (2023)Applications of Natural Language Processing to Geoscience Text Data and Prospectivity ModelingNatural Resources Research10.1007/s11053-023-10216-1Online publication date: 2-Jun-2023
  • (2020)Categories are in flux, but their computational representations are fixed: That's a problemTransactions in GIS10.1111/tgis.1260224:2(291-314)Online publication date: 2-Jan-2020
  • (2012)Novel applications of Tablet PCs to investigate expert cognition in the geosciencesComputers & Geosciences10.1016/j.cageo.2011.08.01842(162-167)Online publication date: May-2012
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
GIS '01: Proceedings of the 9th ACM international symposium on Advances in geographic information systems
November 2001
184 pages
ISBN:1581134436
DOI:10.1145/512161
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 November 2001

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. category development
  2. classification
  3. geological fieldwork
  4. information ontology
  5. self-organizing maps
  6. situated learning

Qualifiers

  • Article

Conference

CIKM01
Sponsor:

Acceptance Rates

Overall Acceptance Rate 220 of 1,116 submissions, 20%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 12 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2023)Applications of Natural Language Processing to Geoscience Text Data and Prospectivity ModelingNatural Resources Research10.1007/s11053-023-10216-1Online publication date: 2-Jun-2023
  • (2020)Categories are in flux, but their computational representations are fixed: That's a problemTransactions in GIS10.1111/tgis.1260224:2(291-314)Online publication date: 2-Jan-2020
  • (2012)Novel applications of Tablet PCs to investigate expert cognition in the geosciencesComputers & Geosciences10.1016/j.cageo.2011.08.01842(162-167)Online publication date: May-2012
  • (2012)Mapping Social-Network InteractionsOnline Maps with APIs and WebServices10.1007/978-3-642-27485-5_16(241-263)Online publication date: 22-Feb-2012
  • (2012)Developing a Geo-Collaborative Web Map to Support Student FieldworkGeospatial Visualisation10.1007/978-3-642-12289-7_7(139-158)Online publication date: 2-Oct-2012
  • (2010) WALL-E and the “Many, Many” Maps: Toward User-Centred Ontologies for The National Map Cartographica: The International Journal for Geographic Information and Geovisualization10.3138/carto.45.2.11345:2(113-120)Online publication date: Jun-2010
  • (2008)Database Ethnographies Using Social Science Methodologies to Enhance Data Analysis and InterpretationGeography Compass10.1111/j.1749-8198.2008.00150.x2:5(1529-1548)Online publication date: 24-Sep-2008
  • (2007)Geo-Pragmatics for the Geospatial Semantic WebTransactions in GIS10.1111/j.1467-9671.2007.01055.x11:3(453-477)Online publication date: Jun-2007
  • (2007)Comparing different methods for assessing ground truth of rover data analysis for the 2005 season of the Life in the Atacama ProjectJournal of Geophysical Research: Biogeosciences10.1029/2006JG000318112:G4(n/a-n/a)Online publication date: 13-Sep-2007
  • (2007)Automated Geographical Information Fusion and Ontology AlignmentSpatial Data on the Web10.1007/978-3-540-69878-4_6(109-132)Online publication date: 2007
  • Show More Cited By

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media