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− | |Booktitle= | + | |Booktitle=Proceedings of Interacting with Linked Data (ILD 2012), workshop co-located with the 9th Extended Semantic Web Conference |
+ | |Pages=36-49 | ||
|Publisher=CEUR-WS.org | |Publisher=CEUR-WS.org | ||
+ | |Editor=C. Unger, P. Cimiano, V. Lopez, E. Motta, P. Buitelaar, R. Cyganiak (eds.) | ||
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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 | 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. | queries are issued directly on a triple store; therefore, if the RDF is modified or updated, changes are propagated directly to OLAP clients. | ||
− | |Download=Kaempgen et al ild2012 olap-operations.pdf, | + | |Download=Kaempgen et al ild2012 olap-operations.pdf, |
− | |Link=http:// | + | |Link=http://ceur-ws.org/Vol-913/03-ILD2012.pdf |
|Projekt=PlanetData, SMART | |Projekt=PlanetData, SMART | ||
|Forschungsgruppe=Wissensmanagement | |Forschungsgruppe=Wissensmanagement | ||
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Version vom 4. Oktober 2012, 08:53 Uhr
Interacting with Statistical Linked Data via OLAP Operations
Interacting with Statistical Linked Data via OLAP Operations
Published: 2012
Mai
Herausgeber: C. Unger, P. Cimiano, V. Lopez, E. Motta, P. Buitelaar, R. Cyganiak (eds.)
Buchtitel: Proceedings of Interacting with Linked Data (ILD 2012), workshop co-located with the 9th Extended Semantic Web Conference
Seiten: 36-49
Verlag: CEUR-WS.org
Referierte Veröffentlichung
BibTeX
Kurzfassung
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.
Download: Media:Kaempgen et al ild2012 olap-operations.pdf
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