摘要
随着大众对于旅游地图服务需求的不断增长,如何对旅游地图进行深层次加工,从而为用户提供更加智能、易用的旅游地图服务也成为研究的热点,旅游知识地图正是在这一背景下开展的研究。该文对旅游知识地图的概念进行了深入辨析,将空间旅游知识的特征归纳为:空间性、时间性、语义性、关联性、情境性、动态性、模糊性,将空间旅游知识分为陈述性(含点状、线状、面状知识)和程序性(含逻辑性和推理性知识)两大类,并提出了旅游知识地图的五大设计原则以及构建流程。最后以旅游路线的动态规划为例,借助于TSP算法,实现了旅游知识的获取和可视化。关于空间旅游知识的发现方法以及可视化形式等都是今后需要深入研究的问题。
With the rapid development of tourism industry,the demand of tourism mapping service has grown increasingly.As a result,how to provide an easy-to-use and intelligent tourism map service for users has attracted much attention from researchers.The tourism knowledge map is a knowledgeable tourism product reflecting the intelligent and personalization trends of tourism map based on deep processing of spatial tourism data.The spatial tourism knowledge can be discovered by spatial data mining technique and represented on map with multiple visual metaphors.In this paper,the concept of tourism knowledge map was further discussed,and the characteristics and classification of spatial tourism knowledge were summarized.Based on this,five design principles and the construction process of tourism knowledge map were proposed.Finally,travel route planning was taken as an example to implement tourism knowledge acquisition and visualization based on TSP algorithm.This method has already been applied in the geospatial knowledge map service test system,and the result was proved to be credible and helpful for new tourists.However,tourism knowledge map is still a burgeoning frontier area in cartography,and lots of problems such as spatial tourism knowledge discovery methods and knowledge representation methods need to be further discussed.
出处
《地理与地理信息科学》
CSCD
北大核心
2016年第6期107-111,共5页
Geography and Geo-Information Science
基金
国家自然科学基金项目(41171353)
国家863计划资助项目(2012AA12A404)
资源与环境信息系统国家重点实验室青年人才培养基金项目(08R8B6IOYA)
关键词
旅游知识地图
空间知识
TSP算法
旅游路线规划
tourism knowledge map
geospatial knowledge
TSP algorithm
travel route planning
