Derivation and implementation of a semantic GIS data model informed by principles of cognition

@article{Mennis2003DerivationAI,
  title={Derivation and implementation of a semantic GIS data model informed by principles of cognition},
  author={Jeremy L. Mennis},
  journal={Computers, Environment and Urban Systems},
  year={2003},
  volume={27},
  pages={455-479}
}
The purpose of this research is to develop a new kind of semantic GIS data model that is better able to represent users’ conceptual models of geographic domains than the conventional vector and raster data models. To this end, I look to the principles of cognition, how humans represent geographic information in their minds, to inform the development of this semantic data model. A three-stage methodology for the derivation and implementation of the semantic data model is presented. First, a… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 20 extracted citations

Cognitive design in action: developing assistive technology for situational awareness for persons who are blind.

Disability and rehabilitation. Assistive technology • 2008
View 5 Excerpts
Highly Influenced

A semantic geodatabase for environment analysis: Extraction, management and sharing of earth and water information in GIS

2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM) • 2015
View 2 Excerpts

Architectural Heritage semantic data managing and sharing in GIS

2015 1st International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM) • 2015

References

Publications referenced by this paper.
Showing 1-10 of 34 references

Natural objects with indeterminate boundaries

P. A. Burrough
P. A. Burrough, & A. U. Frank (Eds.), Geographic objects with indeterminate boundaries (pp. 3–28). London: Taylor & Francis. • 1996
View 4 Excerpts
Highly Influenced

Image and Brain: The Resolution of the Imagery Debate

Journal of Cognitive Neuroscience • 1995
View 4 Excerpts
Highly Influenced

Category theory and the structure of features in geographic information systems

L. Usery
Cartography and Geographic Information Systems, 20(1), 5–12. • 1993
View 5 Excerpts
Highly Influenced

Cognition and Reality

U. Neisser
New York: W.H. Freeman & Company. • 1976
View 7 Excerpts
Highly Influenced

Object-oriented data modelling for spatial databases

International Journal of Geographical Information Science • 1990
View 4 Excerpts
Highly Influenced

UCGIS emerging research theme: ontological foundations for geographic information science

D. M. Mark, M. Egenhofer, S. Hirtle, B. Smith
White Paper on Emerging Research Themes, • 2000

Processing fuzzy spatial queries: a configuration similarity approach

International Journal of Geographical Information Science • 1999
View 3 Excerpts

Similar Papers

Loading similar papers…