DC Proposal: Online Analytical Processing of Statistical Linked Data

Abstract

Abstract. The amount of Linked Data containing statistics is increasing; and so is the need for concepts of analysing these statistics. Yet, there are challenges, e.g., discovering datasets, integrating data of different granularities, or selecting mathematical functions. To automatically, flexibly, and scalable integrate statistical Linked Data for expressive and reliable analysis, we propose to use expressive Semantic Web ontologies to build and evolve a well-interlinked conceptual model of statistical data for Online Analytical Processing.

Linked Open Government Data Analytics

“…Towards this end, they showed how using linked data principles in statistical data for decision support services bears advantages such as easier integration and enrichment with other data sources [15]- [16]. They suggested that linking statistical data to the Linked Data Web could enable the enrichment of a particular dataset and thus the extraction of interesting and previously hidden insights related to particular events.…”

Linked open government data analytics

“…In some cases, a middleware between an RDF application and a typical OLAP server that manages multidimensional data is used (Ghasemi et al, 2014;Kämpgen, 2011). This middleware typically employs a mapping language to convert linked data cubes into a format suitable for loading into an OLAP system.…”