面向智慧旅游的游客数据库和POI数据库设计与实现

发布时间：2018-04-27 13:36

本文选题：智慧旅游 + 游客偏好　；参考：《西南交通大学》2017年硕士论文

【摘要】：游客数据和POI数据是智慧旅游的关键基础数据,如何充分准确考虑游客的偏好与个性化需求,以及景区POI等关联信息,提高旅游信息主动推荐的精准度和用户满意度是智慧旅游的关键难题。旅游活动具有位置敏感性和高动态性特点,构建游客偏好形式化的游客模型,设计以游客为中心的游客数据库,对游客偏好需求进行管理和深度挖掘,并设计与游客数据库在位置和各种偏好语义上相关联的POI数据库,是实现准确提取游客偏好和高精度的个性化推荐服务的基础引擎。本文主要研究内容有:1.本文首先介绍了智慧旅游的内涵,分析了智慧旅游的个性化服务需求,并简要综述了国内外智慧旅游游客数据与POI数据的相关研究现状和进展,然后提出了本文的研究目的和研究内容。2.归纳总结了游客个性化的智慧旅游需求特点,凝练了游客在"吃、住、行、游、娱、购"方面的主要偏好,游客的基本信息,游客的位置信息以及游客与客户端可能的交互信息,设计了一种内容丰富的游客用户模型,作为提取游客偏好和构建游客数据库的基础。3.设计了一种实用的游客数据库结构,支持相关动态信息的实时接入与动态更新;同时分析了景区内POI数据的结构特点,设计了简洁实用的景区POI数据库,建立了游客数据与POI数据的动态关联,构成实现智慧旅游的基础引擎。4.采用ORALCE数据库管理系统,开发了游客数据和POI数据管理的原型系统,支持数据的增、删、查、改等功能。实现了基于天地图的POI数据采集和入库功能。编写实现游客注册,POI推荐等等多个功能的后台旅游web服务,将服务通过IIS进行发布,供前台系统调用。为验证本文设计的数据库的有效性,本文以都江堰景区为实验场景,采集了都江堰景区的一些POI、轨迹数据等,以Cesium为前台三维场景并加入都江堰部分景点的三维模型数据,实现了在场景中的游客注册、POI查询、邻近搜索、POI推荐等功能,验证了数据库的有效性和实用性。
[Abstract]:Tourist data and POI data are the key basic data of intelligent tourism. How to fully and accurately consider tourists' preferences and personalized needs, as well as related information such as scenic area POI, etc. Improving the accuracy of active recommendation and user satisfaction is the key problem of intelligent tourism. Tourism activity has the characteristics of location sensitivity and high dynamic. The formalized tourist model of tourist preference is constructed, the tourist database is designed, and the demand of tourist preference is managed and deeply mined. The POI database, which is associated with the location and preference semantics of the tourist database, is the basic engine for accurate extraction of tourist preferences and high precision personalized recommendation services. The main content of this paper is: 1. This paper first introduces the connotation of intelligent tourism, analyzes the individualized service demand of intelligent tourism, and briefly summarizes the research status and progress of intelligent tourist data and POI data at home and abroad. Then, the purpose and content of this paper are put forward. This paper summarizes the characteristics of tourists' individualized intellectual tourism needs, condenses the main preferences of tourists in "eat, live, travel, travel, entertain, buy", and the basic information of tourists. Based on the location information of tourists and the possible interaction information between tourists and clients, a rich tourist user model is designed, which is the basis of extracting tourist preference and constructing tourist database. A practical tourist database structure is designed to support the real-time access and dynamic update of related dynamic information. At the same time, the structural characteristics of the POI data in the scenic area are analyzed, and a simple and practical scenic spot POI database is designed. The dynamic correlation between tourist data and POI data is established, which constitutes the basic engine of intelligent tourism. The prototype system of tourist data and POI data management is developed by using ORALCE database management system, which supports the functions of adding, deleting, checking and changing data. The function of POI data acquisition and storage based on sky map is realized. Write the backstage travel web service which can realize the tourists' registration and recommendation, etc., and publish the service through IIS, which can be called by the foreground system. In order to verify the validity of the database designed in this paper, we take Dujiangyan scenic spot as the experimental scene, collect some POI, track data and so on, take Cesium as the foreground 3D scene and add the 3D model data of Dujiangyan scenic spot. The functions of registration POI query, neighborhood search POI recommendation and so on are implemented in the scene, and the validity and practicability of the database are verified.
【学位授予单位】：西南交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP311.13;F592

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