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首页> 外文期刊>International journal of information retrieval research >Modeling Domain Ontology for Occupational Therapy Resources Using Natural Language Programming (NLP) Technology to Model Domain Ontology of Occupational Therapy Resources
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Modeling Domain Ontology for Occupational Therapy Resources Using Natural Language Programming (NLP) Technology to Model Domain Ontology of Occupational Therapy Resources

机译：使用自然语言编程（NLP）技术对职业治疗资源的领域本体建模，以对职业治疗资源的领域本体进行建模

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摘要

Creation anddevelopment of a formal domain ontology of Ocuupational Therapy (OT) requires the prescription and formal evaluation of the results through specific criteria. Methontology of development ontologies was followed to create OTO ontology, and was implemented by using Protege- OWL. Accuracy of OTO ontology was assessed using a set of ontology design cretria. This paper describes a software engineering approach to model domain ontology for occupational therapy resources (OT) using Natural Language Programming (NLP) technology. The rules were written to annotate the domain concepts using Java Annotation Patterns Engine (JAPE) grammar. It is used to support regular expression matching and thus annotate OT concepts by using the GATE developer tool. This speeds up the time-consuming development of the ontology, which is important for experts in the domain facing time constraints and high workloads. The rules provide significant results: the pattern matching of OT concepts based on the lookup list produced 403 correct concepts and the accuracy was generally higher. Using NLP technique is a good approach to reducing the domain expert's work, and the results can be evaluated. This study contributes to the understanding of ontology development and evaluation methods to address the knowledge gap of using ontology in the decision support system component of occupational therepy.
机译：创建和开发职业治疗（OT）的正式领域本体需要通过特定标准进行处方和对结果的正式评估。遵循开发本体的方法学来创建OTO本体，并使用Protege-OWL进行了实现。 OTO本体的准确性是使用一组本体设计Cretria进行评估的。本文介绍了一种使用自然语言编程（NLP）技术为职业治疗资源（OT）建模领域本体的软件工程方法。编写规则是为了使用Java注释模式引擎（JAPE）语法对域概念进行注释。它用于支持正则表达式匹配，从而通过使用GATE开发人员工具来注释OT概念。这加快了本体的耗时开发，这对于面临时间限制和高工作量的领域的专家而言非常重要。该规则提供了显着的结果：基于查找列表的OT概念的模式匹配产生了403个正确的概念，并且准确性通常更高。使用NLP技术是减少领域专家工作的好方法，并且可以评估结果。这项研究有助于理解本体开发和评估方法，以解决在职业病的决策支持系统组件中使用本体的知识差距。

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