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Surreptitious, evolving and participative ontology development: An end-user oriented ontology development methodology.

机译：秘密，不断发展和参与性的本体开发：面向最终用户的本体开发方法。

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摘要

Ontology not only is considered to be the backbone of the semantic web but also plays a significant role in distributed and heterogeneous information systems. However, ontology still faces limited application and adoption to date. One of the major problems is that prevailing engineering-oriented methodologies for building ontologies do not actively involve end-users but instead rely on a small group of domain experts, which presents barriers to both knowledge elicitation and knowledge sharing. Based on an extensive and critical review of extant ontology development methodologies, a number of issues are identified that could hinder the involvement of end-users in the ontology development process. To address these issues, a surreptitious ontology development methodology is proposed in the dissertation. Based on the result of a usability study, the methodology is refined and a prototype system is developed to implement the methodology. Moreover, a theoretical model is built to predict the impact of surreptitious ontology development on common intentions and conceptual dynamics of the output ontology and commitment by end-users. To test the research model, a field experiment is conducted over a three-month period. The results of data analyses provide support for the proposed methodology in improving the quality and adoption intention of ontology. This research has multifold theoretical and practical implications.
机译：本体不仅被认为是语义网的基础，而且在分布式和异构信息系统中也起着重要作用。然而，迄今为止，本体仍然面临有限的应用和采用。主要问题之一是，流行的面向工程的本体构建方法并没有积极地吸引最终用户，而是依赖一小组领域专家，这给知识的获取和知识共享带来了障碍。基于对现有本体开发方法的广泛且严格的审查，确定了许多可能阻碍最终用户参与本体开发过程的问题。为了解决这些问题，本文提出了一种秘密的本体开发方法。基于可用性研究的结果，对方法进行了完善，并开发了原型系统来实施该方法。此外，建立了理论模型来预测秘密本体开发对最终用户的输出本体和承诺的共同意图和概念动态的影响。为了测试研究模型，我们在三个月的时间内进行了现场实验。数据分析的结果为改进本体的质量和采用意图的方法提供了支持。这项研究具有多重的理论和实践意义。

著录项

  • 作者

    Bachore, Zelalem.;

  • 作者单位

    University of Maryland, Baltimore County.;

  • 授予单位 University of Maryland, Baltimore County.;
  • 学科 Information Science.;Artificial Intelligence.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 240 p.
  • 总页数 240
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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