Quality assessment of OpenStreetMap data using trajectory mining

作     者：Anahid Basiri Mike Jackson Pouria Amirian Amir Pourabdollah Monika Sester Adam Winstanley Terry Moore Lijuan Zhang 

作者机构：The Nottingham Geospatial InstituteThe University of NottinghamNottinghamUK Ordnance SurveySouthamptonUK The School of Computer ScienceThe University of NottinghamNottinghamUK Institute of Cartography and Geoinformatics(IKG)Leibniz UniversitätHannoverGermany e Department of Computer ScienceMaynooth UniversityMaynoothIreland Faculty of Civil and Environmental EngineeringThe Technion-Israel Institute of TechnologyHaifaIsrael 

出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)

年 卷 期：2016年第19卷第1期

页      面：56-68页

核心收录：

学科分类：0303[法学-社会学] 0709[理学-地质学] 07[理学] 0708[理学-地球物理学] 0705[理学-地理学] 0813[工学-建筑学] 0833[工学-城乡规划学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 070101[理学-基础数学] 

基　　金：This research was supported financially by EU FP7 Marie Curie Initial Training Network MULTI-POS(Multi-technology Positioning Professionals)[grant number 316528] 

主　　题：Spatial data quality OpenStreetMap(OSM) trajectory data mining 

摘      要：OpenStreetMap(OSM)data are widely used but their reliability is still *** contributors to OSM have not been trained in geography or surveying and consequently their contributions,including geometry and attribute data inserts,deletions,and updates,can be inaccurate,incomplete,inconsistent,or *** are some mechanisms and applications dedicated to discovering bugs and errors in OSM *** systems can remove errors through user-checks and applying predefined rules but they need an extra control process to check the real-world validity of suspected errors and *** paper focuses on finding bugs and errors based on patterns and rules extracted from the tracking data of *** underlying idea is that certain characteristics of user trajectories are directly linked to the type of *** such rules,some sets of potential bugs and errors can be identified and stored for further investigations.