Integrating Big Spatio-Temporal Data Using Collaborative Semantic Data Management

摘要: Good decision support of geographical information systems depends on the accuracy, consistency and completeness provided data. This work introduces hypothesis that increasing amount geographic data will significantly improve systems, providing a smart integration approach considers provenance, schema format gathered accordingly. Sources for spatial are distributed quality is varying, especially when considering uncertain like volunteered participatory sensing In our approach, we address challenge integrating Big Data in by describing sources transformation services spatio-temporal using collaborative system managing meta based Semantic MediaWiki. These machine interpretable descriptions used to compose workflows adopted requirements systems.