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Practical non-monotonic knowledge-base system for un-regimented domains: A Case-study in digital humanities

机译：实用的非单调领域的非单调知识库系统：数字人文学科的案例研究

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Information systems for un-regimented domains such as museums, art and book collections, face representational and usability challenges that surpass the demands of traditional information systems for regimented domains. While the former require complex conceptual models supporting a set of dynamic and evolving qualitative properties of a small number of objects, the latter focus on the quantitative aspects of a possibly very large number of objects but with a relatively small and stable set of properties. In this paper we study the use of a non-monotonic knowledge-base system for the development of information systems for un-regimented domains. We discuss the ontological assumptions of the formalism, its structure and its inferential mechanisms through a simple example. Then we present an information system for a highly un-regimented domain in the digital humanities with promising results. The present study shows that the so-called extensible, flexible, dynamic or evolving information systems need the expressive power of nonmonotonic knowledge-base systems, and that such phenomena should be addressed explicitly.
机译：用于未编配领域的信息系统，例如博物馆，艺术品和书籍收藏，面临着代表性和可用性方面的挑战，这些挑战超过了传统信息系统对规范领域的要求。前者需要复杂的概念模型，以支持少量对象的一组动态和不断发展的定性属性，而后者则侧重于可能数量非常多的对象的定量方面，但是具有相对较小和稳定的一组属性。在本文中，我们研究了使用非单调知识库系统开发未配准领域的信息系统。我们通过一个简单的例子讨论形式主义的本体论假设，其结构及其推论机制。然后，我们提出了针对数字人文领域中高度戒备的领域的信息系统，其结果令人鼓舞。本研究表明，所谓的可扩展，灵活，动态或不断发展的信息系统需要非单调知识库系统的表达能力，因此，应明确解决这种现象。

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