利用本体技术开发传统泰式足底按摩知识系统

Wirapong Chansanam, Seksak Prabpala
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引用次数: 0

摘要

本研究旨在利用本体技术开发基于知识的传统泰式足底按摩系统,并开发其作为语义网的应用。由于传统泰式足底按摩的当地知识往往以简单的信息形式呈现,缺乏知识组织体系,因此很难清晰地了解传统泰式按摩旨在缓解或治愈疾病的治疗和知识转移的整体视角。为了解决这一问题,提出了本体创建传统泰式足底按摩知识的显式。本体具有在传统泰式按摩教学设计中发挥重要作用的潜力,可以识别领域知识中的关键类和类之间的关系。本研究的结果是传统泰式足底按摩本体(TTFMO),涵盖了传统泰式足底按摩衍生的类和地方智慧。TTFMO由13个主要类别组成:按摩、目的、使用方法、药物、纪律、材料、疾病、诊断、病人基本信息、行动、时间段、顺序和举止。由两名本体工程专家和五名传统泰式足底按摩从业者组成的7名领域专家对TTFMO的准确性进行了评估。总的来说,在概念识别、关系识别、内容、准确性、格式、易用性、及时性和感知有用性方面,TTFMO的观点得到了广泛的认同。为提高利用同义词信息进行知识检索查询的效率,开发了TTFMO语义web应用程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The development of traditional Thai foot massage knowledge-based systems using ontology technique
This study aimed to developing a knowledge-based systems of traditional Thai foot massage by using ontology techniques and developing its application as a semantic web. Since local knowledge of traditional Thai foot massage is often presented in plain information and lacking in knowledge organization system, clear understanding of the whole perspective of treatment intended to relieve or heal a disorder and knowledge transfer with traditional Thai massage can hardly be attained. To solve this issues ontology has been recommended to create the explicit of traditional Thai foot massage knowledge. An Ontology has the potential to play an important role in the traditional Thai massage instructional design and identify key classes and relationships among the classes in the domain knowledge. The result of this study is Traditional Thai Foot Massage Ontology (TTFMO), covers classes derived from traditional Thai foot massage as well as local wisdom. The TTFMO consists of 13 main classes: massage, objectives, use_method, pharmacy, discipline, material, diseases, diagnosis, patient_information_basic, actions, time_period, sequence, and demeanor. The TTFMO was accurateness evaluated by seven domain experts includes two ontology engineering specialists and five traditional Thai foot massage practitioners. Over all opinions in general strongly agreed with TTFMO regarding concept identification, relationship identification, content, accuracy, format, ease to use, timeliness, and perceived usefulness. As a TTFMO semantic web application was found to improve the efficiency of knowledge retrieval query by synonyms' information.
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