期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B6b
页码：293-298
出版社：Copernicus Publications
摘要：Nowadays, various organizations collect new spatial data or update existing ones. If a specific information community collects spatial data with regards to its own requirements, purposes and applications then other information communities may not be able to use the data easily. In addition to quality issues of the collected data, the semantic heterogeneity plays a major role in spatial data sharing. An important objective of establishing spatial data infrastructure (SDI) is to share data between diverse information communities through exerting policies and standards. As such, SDI can provide a suitable framework to for collecting, sharing and using data.Web Feature Services (WFS) are suitable tools for achieving this aim because they consist of information about features definitions and their complete attributes. This leads to solve the problem of different understandings from a specific feature. In addition to this, it is possible to formulate integrity constraints using ontology programming languages and implement the rules during field data collection.This paper aims to investigate the way of imposing quality controls on acquired data during field data collection. As a prototype, a mobile data acquisition system has been designed that warns users when any data inconsistency occurs and users can remove the error from database with correcting the occurred error instantly
关键词：SDI; Web Feature Services; Data Quality; Field Data Collection
