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首页> 外文期刊>International journal of intelligent engineering informatics >The application of controlled natural language on carbon market domain knowledge for enhanced retrieval of information
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The application of controlled natural language on carbon market domain knowledge for enhanced retrieval of information

机译：受控自然语言在碳市场领域知识中的应用，以增强信息检索能力

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Natural language processing has been used in modelling knowledge about different domains for use in different applications, particularly to those with minimal computer science skills. Although natural language is easy to learn, it is often riddled with ambiguities, vagueness and a very high potential for inconsistencies. Thus, controlled natural language, a subset of natural language has emerged and promises to improve on some major natural language deficiencies. Given the multiplicity of controlled natural languages, Attempto Controlled English (ACE), one of the leading controlled natural languages, was chosen and explored to represent knowledge about the domain of carbon market. The outcome of this study is a prototypical controlled natural language carbon market ontology that can be used in making informed decisions about investment in carbon marketing. In order to establish the suitability and purpose for which the prototype was developed, it was evaluated using appropriate techniques and ontology reasoners.
机译：自然语言处理已用于对有关不同领域的知识进行建模，以用于不同的应用程序中，尤其是对于那些具有最低计算机科学技能的人。尽管自然语言很容易学习，但是它常常充满歧义，模糊不清和极高的潜在不一致性。因此，受控制的自然语言是自然语言的子集，并有望改善一些主要的自然语言缺陷。鉴于受控自然语言的多样性，选择并探索了尝试性受控英语（ACE）（一种领先的受控自然语言）来表示有关碳市场领域的知识。这项研究的结果是一种原型控制的自然语言碳市场本体论，该本体论可用于就碳市场营销的投资做出明智的决策。为了确定原型开发的适用性和目的，使用适当的技术和本体推理器对其进行了评估。

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