Introducing the new GRASS module g.infer for data-driven rule-based applications

P. Löwe
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Abstract

This paper introduces the new GRASS GIS add-on module g.infer. The module enables rule-based analysis and workflow management in GRASS GIS, via data-driven inference processes based on the expert system shell CLIPS. The paper discusses the theoretical and developmental background that will help prepare the reader to use the module for Knowledge Engineering applications. In addition, potential application scenarios are sketched out, ranging from the rule-driven formulation of nontrivial GIS-classification tasks and GIS workflows to ontology management and intelligent software agents.
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为数据驱动的基于规则的应用引入新的GRASS模块g.f einfer
本文介绍了一种新的GRASS GIS附加模块g.f einfer。该模块通过基于专家系统外壳CLIPS的数据驱动推理过程,在GRASS GIS中实现基于规则的分析和工作流管理。本文讨论了理论和发展背景,这将有助于读者准备将该模块用于知识工程应用。此外,还概述了潜在的应用场景,从重要的GIS分类任务和GIS工作流的规则驱动制定到本体管理和智能软件代理。
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