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dc.contributor.authorVarga, Jovan
dc.contributor.authorEtcheverry, Lorena
dc.contributor.authorVaisman, Alejandro
dc.contributor.authorRomero Moral, Óscar
dc.contributor.authorBach Pedersen, Torben
dc.contributor.authorThomsen, Christian
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació
dc.date.accessioned2017-01-12T09:15:12Z
dc.date.available2017-01-12T09:15:12Z
dc.date.issued2016
dc.identifier.citationVarga, J., Etcheverry, L., Vaisman, A., Romero, O., Bach, T., Thomsen, C. QB2OLAP : enabling OLAP on statistical linked open data. A: IEEE International Conference on Data Engineering. "2016 IEEE 32nd International Conference on Data Engineering (ICDE). Proceedings". Helsinki: 2016, p. 1346-1349.
dc.identifier.isbn978-1-5090-2020-1
dc.identifier.urihttp://hdl.handle.net/2117/99074
dc.description.abstractPublication and sharing of multidimensional (MD) data on the Semantic Web (SW) opens new opportunities for the use of On-Line Analytical Processing (OLAP). The RDF Data Cube (QB) vocabulary, the current standard for statistical data publishing, however, lacks key MD concepts such as dimension hierarchies and aggregate functions. QB4OLAP was proposed to remedy this. However, QB4OLAP requires extensive manual annotation and users must still write queries in SPARQL, the standard query language for RDF, which typical OLAP users are not familiar with. In this demo, we present QB2OLAP, a tool for enabling OLAP on existing QB data. Without requiring any RDF, QB(4OLAP), or SPARQL skills, it allows semi-automatic transformation of a QB data set into a QB4OLAP one via enrichment with QB4OLAP semantics, exploration of the enriched schema, and querying with the high-level OLAP language QL that exploits the QB4OLAP semantics and is automatically translated to SPARQL.
dc.format.extent4 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Informàtica::Sistemes d'informació
dc.subject.lcshData mining
dc.subject.otherdata mining
dc.subject.otherdata warehouses
dc.subject.otherquery languages
dc.subject.othersemantic Web
dc.subject.otheron-line analytical processing
dc.subject.otherRDF Data Cube vocabulary
dc.subject.otherquery language
dc.subject.otherdata warehousing
dc.subject.otherDW
dc.titleQB2OLAP : enabling OLAP on statistical linked open data
dc.typeConference report
dc.subject.lemacMineria de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació
dc.identifier.doi10.1109/ICDE.2016.7498341
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7498341
dc.rights.accessOpen Access
drac.iddocument18785464
dc.description.versionPostprint (author's final draft)
upcommons.citation.authorVarga, J.; Etcheverry, L.; Vaisman, A.; Romero, O.; Bach, T.; Thomsen, C.
upcommons.citation.contributorIEEE International Conference on Data Engineering
upcommons.citation.pubplaceHelsinki
upcommons.citation.publishedtrue
upcommons.citation.publicationName2016 IEEE 32nd International Conference on Data Engineering (ICDE). Proceedings
upcommons.citation.startingPage1346
upcommons.citation.endingPage1349


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