A Survey Paper on Technologies to Link and Model Multidimensional Data on the Semantic Web for Business Intelligence
Karan Gupta, Prof. Poonam D. Lambhate
The vast amount of data on the world wide web has resulted in convergence powerful analytical technologies, namely OLAP and the Semantic Web. The Semantic Web has allowed for evolution of linked multidimensional data that allows for querying information on the web using their semantics or meaning and not just a list of key words. Business Intelligence platforms provide great support in analyzing large volumes of data. This has been further extended to map and model multidimensional data on the Semantic Web in the form of OLAP cubes which are expressed in RDF vocabularies. This papers surveys the current technologies that provide a platform for building and querying data warehouses on the semantic web using multidimensional OLAP data cubes built using the RDF data cube vocabulary. The aim of this paper is to present a roadmap for new developments and research in the field of Semantic Web.
Keywords: Linked Multidimensional Data, OLAP, RDF, Semantic Web
Edition: Volume 4 Issue 12, December 2015
Pages: 2106 - 2109