语义网在景观查询中的应用

发布时间：2018-01-05 16:21

本文关键词：语义网在景观查询中的应用　出处：《浙江海洋学院》2015年硕士论文　论文类型：学位论文

更多相关文章： 领域本体 Protégé Jena 查询系统

【摘要】：我国的旅游业正处于快速发展阶段,对拉动相关产业所产生的带动作用也愈发明显。但是目前旅游产业信息化的建设发展缓慢,与市场发展的需要存在着相当大的差距,旅游服务的自动化和智能化程度低。当前最主要的旅游信息获取手段是在网络上进行相关的搜索查询,由于网络上的信息量过于冗杂,使得用户难以准确快速的从网络上的海量数据里获取各自所需要的查询结果和信息。针对以上问题,本文提出了一种基于旅游领域的本体检索方式,通过利用语义网的关键技术,来设计一种更贴切游客需要的旅游信息检索系统。鉴于本体在语义表达方面的优势,本文提出了构建关于旅游领域的本体知识库模型,模型主要采用七步法的建模步骤,利用OWL描述语言Protégé本体编辑工具来实现的。该模型主要包括和旅游活动相关的旅游景观、住宿、旅游交通、餐饮、娱乐、购物等六个要素,并以普陀山景区作为实例进行填充,完成了本体库的构建。为了方便用户使用,本文开发了一个简单的问答系统,来满足用户的需要,主要是采用SPARQL查询语言和Jena包来完成对知识的推理和答案的抽取,从而验证本文的可行性。
[Abstract]:China's tourism industry is in a stage of rapid development, to stimulate the industrial influence produced is more obvious. But at present the construction and development of tourism information needs and market development is slow, there is a considerable gap, tourism service automation and intelligent degree is low. The main tourist information acquisition method is related to the search in the network query, because the amount of information on the network is too complex, making it difficult for users to quickly and accurately from massive data on the Internet to get their needed information and query results. For the above problems, this paper puts forward a kind of tourism based on Ontology retrieval methods, by using key technologies the semantic web, to design a more appropriate to the demands of tourists information retrieval system. In view of the advantages of the semantic ontology, this paper proposes to construct on the journey Ontology knowledge base model of tourism areas, model mainly adopts seven steps modeling, using OWL description language Prot g ontology editing tools to achieve. This model includes activities related to tourism and tourism landscape, tourism accommodation, transportation, catering, entertainment, shopping and other six elements, and to the Mount Putuo scenic area as an example of filling, completed the construction of ontology. For the convenience of users, this paper developed a simple question answering system, to meet the needs of users, mainly using SPARQL query language and Jena package to complete the knowledge reasoning and answer extraction, which verifies the feasibility of this thesis.

【学位授予单位】：浙江海洋学院
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP391.1

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