TY - GEN
T1 - Towards Ontology-Driven RDF Analytics
AU - Neumayr, Bernd
AU - Schütz, Christoph Georg
AU - Schrefl, Michael
PY - 2015/10
Y1 - 2015/10
N2 - The RDF data model lends itself to the organization of graph-structured data. The analysis of such data requires specific tools and techniques broadly summarized as RDF analytics. In particular, traditional approaches to the aggregation of multidimensional data do not apply directly to RDF data due to the lack of information regarding the granularity level of the data and unclear semantics of aggregation. Ontologies, however, may provide the additional information required for RDF data aggregation. Using a vocabulary for ontology-based RDF analytics in conjunction with existing domain ontologies, modelers may declaratively specify aggregated views over RDF data. In this paper we describe the fundamentals of ontology-driven RDF analytics based on RDF, RDF Schema, and SPARQL. We present a proof-of-concept implementation of the basic approach that uses open-source technology, thereby demonstrating feasibility. We further discuss possible future extensions to the basic approach.
Keywords: Business intelligence – Semantic web – SPARQL
AB - The RDF data model lends itself to the organization of graph-structured data. The analysis of such data requires specific tools and techniques broadly summarized as RDF analytics. In particular, traditional approaches to the aggregation of multidimensional data do not apply directly to RDF data due to the lack of information regarding the granularity level of the data and unclear semantics of aggregation. Ontologies, however, may provide the additional information required for RDF data aggregation. Using a vocabulary for ontology-based RDF analytics in conjunction with existing domain ontologies, modelers may declaratively specify aggregated views over RDF data. In this paper we describe the fundamentals of ontology-driven RDF analytics based on RDF, RDF Schema, and SPARQL. We present a proof-of-concept implementation of the basic approach that uses open-source technology, thereby demonstrating feasibility. We further discuss possible future extensions to the basic approach.
Keywords: Business intelligence – Semantic web – SPARQL
UR - http://www.dke.jku.at/research/publications/index.xq
U2 - 10.1007/978-3-319-25747-1_21
DO - 10.1007/978-3-319-25747-1_21
M3 - Conference proceedings
SN - 978-3-319-25746-4
VL - 9382
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 210
EP - 219
BT - Advances in Conceptual Modeling, Proceedings ER 2015 Workshops, AHA, CMS, EMoV, MoBiD, MORE-BI, MReBA, QMMQ, and {SCME}
A2 - Jeusfeld, Manfred A.
A2 - Karlapalem, Kamalakar
PB - Springer Verlag
ER -