GeoKnow presented semantic search approach with geospatial context at KNOW@LOD workshop on ESWC

One of the key questions considering the use of linked data is search. Search-driven applications are widely spread, for example in the e-commerce industry or for business information systems. Hence, GeoKnow is also aiming on improving semantic search components, particularly considering geospatial data. Within the GeoKnow consortium the partner Unister — as being active as B2C service provider — is focussing on this topic in the last year of the project.
At the 12th instance of the Extended Semantic Web Conference (ESWC 2015) one result of this research presented in the well-organized 4th Workshop on Knowledge Discovery and Data Mining meets Linked Open Data (KNOW@LOD). The presented paper is named “Computing Geo-Spatial Motives from Linked Data for Search-driven Applications”. Hence, we are considering geo-spatial motives within search queries (e.g., “winter holiday”, “cutural”, “sports activities”) that cannot be answered by a data instance itself but need to interpret the information from the available data to discover relevant regions (e.g., populated places having a sufficient number of cultural hotspots nearby).

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