TEAM 8: SPOI Data Enrichment

TEAM LEADER: Raúl Palma (PSNC),

TEAM MEMBERS: Otakar Čerba (UWB), Stein Runar Bergheim (AVINET),  Raitis Berzins (BOSC), Milan Kalas (KAJO)

PROJECT IDEA:  Smart Points of Interest (SPOI) increased the number of points from about 27M to more than 30M. The goal of this working group is to improve the SPOI dataset, both by extending and improving the underlying model (ontology), and to enrich the knowledge base with links to other relevant datasets.  Regarding the ontology, we aim to include properties definitions, mappings to other vocabularies to the current taxonomy of classes, and possibly additional terms for annotations/ratings,

Regarding the dataset, we aim to discuss and find possibility of linking with review/ratings datasets, relevant eurostat indicators, and others that may be identified during the hackathon.