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旅游地理本体模型设计与张家界实例研究

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互联网中的海量旅游信息对于信息时代的旅游地理学研究具有重要意义,但新型旅游信息存在的多源、异构、非标准化、语义缺失或模糊等问题,成为旅游地理学研究的障碍.该文利用本体论知识,结合已有地理和旅游本体,提取传统旅游地理学科知识中的核心概念,整合互联网大数据时代的旅游地理相关新概念,考虑旅游地理相关的专题内涵、空间尺度和空间关系等特点,对旅游地理知识进行抽象表达,以“地理位置”、“旅游空间”、“旅游资源”、“旅游参与者”、“旅游行为”及“几何要素”为核心概念,通过定义旅游地理本体中类、属性及层次关系构建了能被共享、重用和适于计算机理解的旅游地理本体模型,以张家界旅游地为例进行实例填充,并进一步约束实例间属性关系.张家界旅游文本信息的语义标注实证研究表明,利用旅游地理本体挖掘与解读海量旅游信息具有可行性.该文为基于旅游地理本体的文本挖掘提供了理论和方法参考.
Tourism Geography Ontology Model Design and Research of the Zhangjiajie Instance
A large amount of tourism information online is of great significance for the study of tourism geography in the information era.However,the problems of multi-source,heterogeneous,non-standardized,semantic missing of new tourism information,are becoming the barrier to the study of tourism geography.By using ontology knowledge and integrating new concepts related to tourism geography in the era of Internet big data,considering the special connotation,space-time scale,spatial relationships of tourism geography,the paper made some abstract expressions of tourism geography knowledge which contain geographic location,tourism space,tourism resources,tourism participants,tourism behavior,geometric elements and constructed the tourism geography ontology model which can be shared,reused,and is suitable for computer understanding.The attribute information is acquired by arranging spatial relations related concepts.Take Zhangjiajie tourist place for example,the paper filled instances for tourism geography.The results have shown that:using tourism geographic ontology mark tourism texts is feasible,which will lay a foundation for further tourism text semantic analysis,and provide the theory and method for further study on tourism geography ontology.

tourism geography ontologyontology modeltourism textZhangjiajie

洪烨、康明娟、李仁杰、傅学庆

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河北师范大学资源与环境科学学院,河北石家庄050024

河北省环境演变与生态建设实验室,河北石家庄050024

旅游地理本体 本体模型 旅游文本 张家界

国家自然科学基金国家自然科学基金河北省杰出青年科学基金培育项目河北省科学院高层次人才项目

4117110541471127D20152052082016022577-11

2016

地理与地理信息科学
河北省科学院地理科学研究所

地理与地理信息科学

CSTPCDCSCDCHSSCD北大核心
影响因子:1.122
ISSN:1672-0504
年,卷(期):2016.32(3)
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