**Author details**

M.T. Lamelas1\*, O. Marinoni2 , J. de la Riva1 and A. Hoppe3

\*Address all correspondence to: tlamelas@unizar.es

1 Department of Geography and Land Management, Faculty of Arts, University of Zarago‐ za, Zaragoza, Spain

2 CSIRO Ecosystem Sciences, Brisbane, Australia

3 Institute of Applied Geosciences, Technische Universität Darmstadt, Darmstadt, Germany

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**Chapter 10**

**Semi-Automatic Semantic Data Classification Expert**

This chapter presents an expert system, designed to classify semantic information in a geo‐ graphic database, aiming to assist non-expert map-makers. Despite the fact that GIS science has been discussing how to deal with ordinary users and their relationship with map pro‐ duction, especially due to the popularization of GIS (*Geographic Information Systems*) soft‐ ware and webmapping technologies, there are still issues concerning map production and its quality. Some of these issues are related to data classification methods, knowledge about levels of measurement and, thus, to map symbolization itself. In Brazil, this subject can be of special interest to municipality and state government departments, NGOs and institutions which use maps for planning and for decision-making support. At least in part, problems seem to occur because of the ease of GIS use, together with employees' lack of education in cartography. In this context, an expert system seems to be a proper choice to ensure that or‐

Specifically in thematic map production, there are potential ways to ensure that correct choices will be suggested for users, and these range from long-term training to artificial in‐ telligence techniques. In this context, Schmidt & Delazari [1] developed an expert system to classify data, comparing text information on class names with a file that contains a word

> © 2012 Delazari et al.; licensee InTech. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

© 2012 Delazari et al.; licensee InTech. This is a paper distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

**System to Produce Thematic Maps**

João Vitor Meza Bravo, Mônica Cristina de Castro,

Luciene Stamato Delazari,

Pâmela Andressa Lunelli,

http://dx.doi.org/10.5772/51848

**1. Introduction**

André Luiz Alencar de Mendonça,

Marcio Augusto Reolon Schmidt and Maria Engracinda dos Santos Ferreira

Additional information is available at the end of the chapter

dinary users can take correct decisions in the map-making process.
