语境感知的地理信息检索

Context-Aware Geographical Information Retrieval

语境是可以用来描述实体状态的任何信息,而语境感知的地理信息检索(Context-Aware Geographical Information Retrieval,CAGIR)是可以通过感知与所检索的地理信息相关的语境,返回更加理想检索结果的检索模式。为了进一步了解其基本原理及研究进展,该文综述了语境感知的地理信息检索各方面研究成果:概述了与传统地理信息检索所不同的"语境匹配"思想;明确了语境的定义,并从语境内容和语境表现形式两个角度对语境进行了分类;简述了语境的获取、语境的本体及语义规则的形式表达;讨论了"单语境本体语义操作模型"和"模板语境本体语义操作模型"两类地理信息检索的具体实现模式;总结并形成了语境感知的地理信息检索框架,最后讨论了语境感知地理信息检索的应用现状及发展难点。

Context is any information that can be used to characterize the situation of any entity. Context-Aware Geographical Information Retrieval （CAGIR） is a novel retrieval model that can return a more reasonable result related to the retrieval context. In order to learn more and better implement CAGIR, this paper reviews and discusses several main aspects of CAGIIC First, the relation and difference between CAGIR and ordinary geographical information retrieval are discusses. Then, the paper introduces the concept of context, and classifies context into ＂user context＂ and ＂data context＂ from content perspective, ＂static context＂ and ＂dynamic context＂ from expressions perspective. The paper also summarizes methods of context-obtaining, context ontology and context representation, and sum ups two semantic interoperability models of context. In the end, the current statue of application and future development of CAGIR are proposed.