Title :
Efficient OLAP operations for RDF analytics
Author :
Azirani, Elham Akbari ; Goasdoue, Francois ; Manolescu, Ioana ; Roatis, Alexandra
Author_Institution :
INRIA, France
Abstract :
RDF is the leading data model for the Semantic Web, and dedicated query languages such as SPARQL 1.1, featuring in particular aggregation, allow extracting information from RDF graphs. A framework for analytical processing of RDF data was introduced in [1], where analytical schemas and analytical queries (cubes) are fully re-designed for heterogeneous, semantic-rich RDF graphs. In this novel analytical setting, we consider the following optimization problem: how to reuse the materialized result of a given RDF analytical query (cube) in order to compute the answer to another cube. We provide view-based rewriting algorithms for these cube transformations, and demonstrate experimentally their practical interest.
Keywords :
SQL; data analysis; data mining; data models; graph theory; semantic Web; OLAP operation; RDF analytical query; RDF analytics; RDF data; SPARQL 1.1; analytical schemas; cube transformation; data model; dedicated query languages; heterogeneous graph; information extraction; semantic Web; semantic-rich RDF graph; view-based rewriting algorithm; Blogs; Cities and towns; Context; Data warehouses; Q measurement; Resource description framework; Semantics;
Conference_Titel :
Data Engineering Workshops (ICDEW), 2015 31st IEEE International Conference on
Conference_Location :
Seoul
DOI :
10.1109/ICDEW.2015.7129548
