论文总字数:23111字
摘 要
近年来,随着移动中断的飞速发展和基于位置的应用的普及,人们对于地图查询的需求日益提高,这使得当前基于关键词的在线地图查询技术无法满足人们的需求。首先,当关键词无法正确匹配地点时。人们希望地图查询系统充分利用事物之间相关性理解人们的查询意图,优化查询结果。为此,本文将知识图谱技术与在线地图查询系统相结合,设计并实现了基于知识图谱的在线地图查询系统,以提高在线地图相关的准确性以及智能性,并帮助使用者更加准确的找到自己的理想目的地点。
知识图谱是描述现实生活中人、地点、事物等实体与实体间关系的网络,目前已被广泛应用于Google、Bing等搜索引擎中用来支持语义搜索。知识图谱作为一种对知识数据进行管理的方式,通过相关语义检索和多源数据融合等手段提高搜索引擎的质量。知识图谱在本质上,是一种语义网络,它的节点分别代表一种实体或者概念,每条边代表实体或者概念他们之间的某些语义关系。
本文试图基于知识图谱的探索新型的在线地图查询方式,突破传统基于关键词匹配的空间检索的局限性,充分利用知识图谱中事物之间的关联关系,将知识图谱实体搜索与地理位置相结合,从而给用户带来更大的智能和快捷。
关键词:知识图谱,查询,在线地图,位置
ABSTRACT
In recent years, with the rapid development of mobile terminal device and the popularity of location-based applications, people's demand for map queries increased greatly, which makes the current keyword-based online map query technology can not meet people's needs. First, when the keyword does not match the location correctly , people want the map query system to return the related places precisely . Secondly , the online map query system is hoped to take full advantage of the correlation between things to understand people's search intent, to optimize the query results. To this end, this paper combines knowledge graph technology with online map query system to develop an online map query system to improve the accuracy and intelligence of online map and to help users find their ideal destination more accurately.
Knowledge graph is a network that describes the relationship between entities , such as people, places, and things in real life. It is widely used in search engines such as Google and Bing to support semantic search . As a method of knowledge data management, improve the quality of search engines , through the relevant semantic retrieval and multi-source data fusion , etc. The knowledge map is essentially a semantic network whose nodes represent an entity or a concept,and edge represens semantic relationship between entities or concepts.
This paper attempts to explore a new type of online map query based on the knowledge graph, break through the limitations of the traditional spatial search based on keyword matching, make full use of the correlation between the things in the knowledge graph, combine the knowledge map entity search with the geographical position, Thus brings user a more intelligence and convenient.
Keywords: knowledge map, query, online map, position
目 录
摘要 ……………………………………………………………………………………………Ⅰ
Abstract …………………………………………………………………………………… Ⅱ
- 绪论 ……………………………………………………………………………… 1
1.1研究背景………………………………………………………………… 1
1.2在线地图的发展现状…………………………………………………… 3
1.3研究目的 ………………………………………………………………… 5
1.4研究内容 ………………………………………………………………………… 5
1.5本文结构安排 …………………………………………………………………… 7
- 研究现状及相关技术 …………………………………………………… 8
2.1研究现状 ……………………………………………………………… 8
2.2相关技术 ……………………………………………………………… 10
第三章 总体架构设计……………………………………………………………… 13
3.1离线构建 ……………………………………………………………… 13
3.2在线查询………………………………………………………………… 17
第四章 系统的设计与实现 ……………………………………………………… 19
4.1服务器…………………………………………………………………… 19
4.2客户端…………………………………………………………………… 21
4.3系统结果分析…………………………………………………………… 24
第五章 总结与展望 ……………………………………………………………… 26
5.1 总结……………………………………………………………………… 26
5.2 展望 …………………………………………………………………… 26
致谢 …………………………………………………………………………………28
参考文献 …………………………………………………………………………… 29
绪论
本章首先以知识图谱的发展以及意义为背景,简单介绍了知识图谱目前国内外的研究现状,同时引出本文中在线地图查询系统的目的。最后给出了本文的组织结构。
1.1 研究背景
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