文章基本信息

标题：Connecting Semantic Situation Descriptions with Data Quality Evaluations—Towards a Framework of Automatic Thematic Map Evaluation
本地全文：下载
作者：Timo Homburg
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2020
卷号：11
期号：11
页码：532-561
DOI：10.3390/info11110532
出版社：MDPI Publishing
摘要：A continuing question in the geospatial community is the evaluation of fitness for use of map data for a variety of use cases. While data quality metrics and dimensions have been discussed broadly in the geospatial community and have been modelled in semantic web vocabularies, an ontological connection between use cases and data quality expressions allowing reasoning approaches to determine the fitness for use of semantic web map data has not yet been approached. This publication introduces such an ontological model to represent and link situations with geospatial data quality metrics to evaluate thematic map contents. The ontology model constitutes the data storage element of a framework for use case based data quality assurance, which creates suggestions for data quality evaluations which are verified and improved upon by end-users. So-created requirement profiles are associated and shared to semantic web concepts and therefore contribute to a pool of linked data describing situation-based data quality assessments, which may be used by a variety of applications. The framework is tested using two test scenarios which are evaluated and discussed in a wider context.
关键词：data quality; GIS; linked data vocabulary; situation-dependence; provenance; reasoning data quality ; GIS ; linked data vocabulary ; situation-dependence ; provenance ; reasoning