Multidimensional enrichment of spatial RDF data for SOLAP

Large volumes of spatial data and multidimensional are being published on the Semantic Web, which has led to new opportunities for advanced analysis, such as Spatial Online Analytical Processing (SOLAP). The RDF Data Cube (QB) QB4OLAP vocabularies have been widely used annotating publishing statistical data. Although sets might information, coordinates, lack semantics concepts in QB prevents users from employing SOLAP queries over using SPARQL. QB4SOLAP vocabulary, other hand, fully supports Web enables query endpoints with operators To bridge gap between QB/QB4OLAP QB4SOLAP, we propose an RDF2SOLAP enrichment model that automatically annotates doing so existing Web. Furthermore, present evaluate a wide range algorithms apply them non-trivial real-world use case involving governmental open complex geometry types.