Knowledge Representations for Constructing Chains of Contexts in Geographic Information Systems

Authors

Janusz Kacprzyk^1, , Stanislav Belyakov^2, , Alexander Bozhenyuk^{2, *,} , Igor Rozenberg^3,

¹Systems Research Institute Polish Academy of Sciences, Newelska 6, 01-447, Warsaw, Poland

²Information and Analytical Security Systems Department, Southern Federal University, 1, Engels Street, Taganrog, 347900, Russia

³Public Corporation “Research and Development Institute of Railway Engineers,” 27/1, Nizhegorodskaya Street, Moscow, 109029, Russia

^*Corresponding author. Email: avb002@yandex.ru

DOI

10.2991/ijcis.d.210420.001How to use a DOI?

Keywords

Geographic information systems; Context; Spatial analysis; Context-aware recommender systems

Abstract

Solving complex informal problems using spatial data is often used in industry and business. In the absence of a solution algorithm, analyst resorts to a heuristic search for a solution, which is based on an interactive dialogue with a geographic information system (GIS). The analyst builds a cartographic workspace by sending GIS queries. The workspace is explored visually using software tools for spatial, statistical, and other special types of analysis. During the analysis, the user raises his situational awareness. It is important to organize the dialogue wisely as there is a danger of cognitive overload. In the latter case, there is a possibility of making the wrong decision. This paper proposes a method for representing knowledge about the process of analyzing spatial situations. The essence of the method is that knowledge is represented by chains of contexts and patterns of appropriate user behavior in visual analysis. A model of an image of a chain of contexts is proposed, which consists of the center of the image and its admissible transformations. A method of organizing a dialogue is described, which allows a GIS to develop recommendations for choosing a context in a chain of contexts. Patterns of level, tendency, and rhythm are proposed to represent knowledge about appropriate behavior. Application of the proposed method of knowledge representation in recommender GIS improves the quality of spatial data analysis.

Copyright

© 2021 The Authors. Published by Atlantis Press B.V.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)
View full text (HTML)

TY  - JOUR
AU  - Janusz Kacprzyk
AU  - Stanislav Belyakov
AU  - Alexander Bozhenyuk
AU  - Igor Rozenberg
PY  - 2021
DA  - 2021/04/26
TI  - Knowledge Representations for Constructing Chains of Contexts in Geographic Information Systems
JO  - International Journal of Computational Intelligence Systems
SP  - 1388
EP  - 1395
VL  - 14
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.210420.001
DO  - 10.2991/ijcis.d.210420.001
ID  - Kacprzyk2021
ER  -