Envitia, a geospatial intelligence software, solutions and applied research provider, presented at the OGC Technical and Planning Committee Meeting in September 2015,Nottingham. The event organised by the Open Geospatial Consortium (OGC) and hosted by the British Geological Survey (BGS) at their offices in Keyworth was well attended by a range of delegates from industry, academia and the public sector.
Dr Stefano Cavazzi, GeoInt Consultant of Envitia, presented during the Defense and Intelligence Domain Working Group (DWG) a paper titled: “Crowdsourced and Authoritative Map Features Conflation Workflow”. The research focused on data conflation, which is commonly defined as the process of unifying two or more separate geospatial datasets into one integrated all-encompassing result. Such conflation is crucial for effective decision making in the information age. The goal of the conflation process presented was to retain accurate data, minimise redundancy and reconcile data conflicts. The work built upon achievements and lessons learnt from previous research carried out by Envitia while also exploiting recent advances, such as available crowdsource data and the NATO Geospatial Information Framework (NGIF).
The presentation described a proof of concept involving the conflation of authoritative datasets with a non-authoritative crowdsourced datasets from the OpenStreetMap initiative. The adoption of a harmonised pan-domain model provided by NGIF was central in the proposed workflow, as it enabled the efficient harmonisation of multiple datasets from different domains supporting the conflation process.
The resulting enriched dataset included lineage and quality metadata ensuring traceability of the provenance of information. The developed conflation proof of concept, its implementation and evaluation with sample datasets were also described in detail. The presentation triggered a series of questions from the audience providing a positive debating opportunity and exchange of information.
Dr Stefano Cavazzi, GeoInt Consultant