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摘要翻译：
在过去的六年里，电子政务（e-government）是本体发展最活跃的领域之一。在电子政务中，本体能够方便地组合、匹配、映射和合并各种电子政务服务，因此被用来描述和指定电子政务服务（e-services）。更重要的是，它们还促进了电子政府服务的语义集成和互操作性。然而，现有的本体构建方法如何应用于政府服务领域的语义本体模型开发，在现有的文献中尚不清楚。本文应用Uschold和King的本体构建方法，开发了一个政府服务领域的语义本体模型。首先，提出了Uschold和King方法，并将其应用于政府领域本体的构建。其次，利用描述逻辑中的半形式化表示对领域本体进行语义一致性评价。第三，将领域本体与面向语言和认知工程的描述性本体(DOLCE)上层本体进行了对齐，使其具有更广泛的可视性，并便于其与现有元数据标准的集成。最后，采用Web本体语言(OWL)对领域本体进行形式化编写，实现了计算机对领域本体的自动处理。本研究旨在为现有本体构建方法在电子政务领域特定本体模型的语义网开发过程中的应用提供指导；使其在其他电子政府项目中具有可重复性，并加强在电子政府中采用语义技术。
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英文标题：
《Semantic-Driven e-Government: Application of Uschold and King Ontology
Building Methodology for Semantic Ontology Models Development》
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作者：
Jean Vincent Fonou-Dombeu and Magda Huisman
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最新提交年份：
2011
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分类信息：
一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要：
Electronic government (e-government) has been one of the most active areas of ontology development during the past six years. In e-government, ontologies are being used to describe and specify e-government services (e-services) because they enable easy composition, matching, mapping and merging of various e-government services. More importantly, they also facilitate the semantic integration and interoperability of e-government services. However, it is still unclear in the current literature how an existing ontology building methodology can be applied to develop semantic ontology models in a government service domain. In this paper the Uschold and King ontology building methodology is applied to develop semantic ontology models in a government service domain. Firstly, the Uschold and King methodology is presented, discussed and applied to build a government domain ontology. Secondly, the domain ontology is evaluated for semantic consistency using its semi-formal representation in Description Logic. Thirdly, an alignment of the domain ontology with the Descriptive Ontology for Linguistic and Cognitive Engineering (DOLCE) upper level ontology is drawn to allow its wider visibility and facilitate its integration with existing metadata standard. Finally, the domain ontology is formally written in Web Ontology Language (OWL) to enable its automatic processing by computers. The study aims to provide direction for the application of existing ontology building methodologies in the Semantic Web development processes of e-government domain specific ontology models; which would enable their repeatability in other e-government projects and strengthen the adoption of semantic technologies in e-government.
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PDF链接：
https://arxiv.org/pdf/1111.1941
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