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Construction of an ontology for the domain of selecting remediation techniques for petroleum-contaminated sites.

机译：为石油污染场所选择补救技术领域的本体构建。

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摘要

Ontology, by giving an explicit conceptualization, supports the sharing and reuse of formally represented knowledge among Artificial Intelligence (AI) systems. This thesis describes a proposed ontology for environmental engineering, and demonstrates how it is implemented using Protege-2000 (Puerta, Edgar, Tu, and Musen 1992). The constructed ontology can become the basis for supporting the construction of knowledge-based systems for the selection of petroleum remediation techniques.; This thesis focuses on ontology construction as a foundation for knowledge representation. It presents the processes of knowledge acquisition, analysis, and representation using a conceptual modeling tool, the Inferential Modeling Technique (IMT), as a basis for ontology construction. In addition, the combination of class hierarchies, entity relationship diagrams, and IMT domain knowledge tables are used for clarifying knowledge. Finally, the clarified knowledge is formulated into the petroleum remediation technique ontologies (PRTO), and implemented using Protege-2000.; The process of petroleum remediation technique selection involves mathematical models and complex decision processes. Therefore, the PRTO ontology library consists of three ontologies: class, process, and relation ontologies. For the purpose of reuse a three-level ontology is designed to facilitate adoption of different domain applications. This approach is illustrated with examples from the implementation of the remediation-selection ontology and the generated knowledge acquisition user interfaces. Further development of the ontology tool is discussed.
机译：通过给出明确的概念化，本体论支持人工智能（AI）系统之间形式化知识的共享和重用。本文描述了一种拟议的环境工程本体，并演示了如何使用Protege-2000（Puerta，Edgar，Tu和Musen 1992）实现该本体。构建的本体可以成为支持选择石油修复技术的基于知识的系统的基础。本文着重于本体构建作为知识表示的基础。它介绍了使用概念建模工具推理模型技术（IMT）进行知识获取，分析和表示的过程，以此作为本体构建的基础。另外，类层次结构，实体关系图和IMT域知识表的组合用于澄清知识。最后，将澄清的知识整理成石油修复技术本体论（PRTO），并使用Protege-2000实施。石油修复技术选择过程涉及数学模型和复杂的决策过程。因此，PRTO本体库由三个本体组成：类，过程和关系本体。为了重用，设计了三级本体来促进不同域应用程序的采用。通过补救选择本体的实现和生成的知识获取用户界面中的示例说明了此方法。讨论了本体工具的进一步开发。

著录项

  • 作者

    Chen, Lin-Li.;

  • 作者单位

    The University of Regina (Canada).;

  • 授予单位 The University of Regina (Canada).;
  • 学科 Engineering Environmental.
  • 学位 M.A.Sc.
  • 年度 2001
  • 页码 184 p.
  • 总页数 184
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境污染及其防治;
  • 关键词

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