PlanGraph: An Agent-Based Computational Model for Handling Vagueness in Human-GIS Communication of Spatial Concepts

Conference paper

Abstract

A fundamental challenge in developing a usable conversational interface for Geographic Information Systems (GIS) is effective communication of spatial concepts in natural language, which are commonly vague in meaning. This paper presents a design of an agent-based computational model, PlanGraph. This model is able to help the GIS to keep track of the dynamic human-GIS communication context and enable the GIS to understand the meaning of a vague spatial concept under constrains of the dynamic context.

Keywords

Geographic Information System Geographic Information System Context Information Spatial Query Context Parameter 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Notes

Acknowledgment

This material is based upon work supported by the National Science Foundation under Grants No. BCS-0113030, and EIA-0306845. This work is also supported by Northern Kentucky University Faculty Summer Fellowship and Northern Kentucky University Faculty Project Grant. The author would like to thank Dr. Guoray Cai and Dr. Alan MacEachren for their advising to the work during her stay at Pennsylvania State University. The author would also like to thank Dr. Kevin Kirby for his proof-reading and detailed comments on this paper. The author would also like to thank two anonymous reviewers for their comments on this paper.

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  1. 1.Department of Computer ScienceNorthern Kentucky UniversityHighland HeightsU.S.A

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