Location of Repository

Interacting with Statistical Linked Data via OLAP Operations

By Benedikt Kämpgen and Andreas Harth

Abstract

Abstract. Online Analytical Processing (OLAP) promises an interface to analyse Linked Data containing statistics going beyond other interaction paradigms such as follow-your-nose browsers, faceted-search interfaces and query builders. As a new way to interact with statistical Linked Data we define comon OLAP operations on data cubes modelled in RDF and show how a nested set of OLAP operations lead to an OLAP query. Then, we show how to transform an OLAP query to a SPARQL query which generates all required facts from the data cube. Both metadata and OLAP queries are issued directly on a triple store; therefore, if the RDF is modified or updated, changes are propagated directly to OLAP clients

Topics: OLAP, query, operation, Linked Data, statistics, XBRL
Year: 2012
OAI identifier: oai:CiteSeerX.psu:10.1.1.416.508
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://ceur-ws.org/Vol-913/03_... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.