Abstract
Traditional data analysis employs online analytical processing (OLAP) systems operating on multidimensional (MD) data. The Resource Description Framework (RDF) serves as the foundation for the publication of a growing amount of semantic web data still largely untapped by data analysis. RDF data, however, do not typically follow an MD structure and, therefore, elude traditional OLAP. We propose an approach for superimposing MD structures over arbitrary RDF datasets. On top of that, we present a high-level querying mechanism to express MD queries, which can be automatically translated into SPARQL queries over the source data. As a consequence, data analysts that are unfamiliar with SPARQL, may still incorporate RDF data sources into the analysis. Superimposed MD schemas also serve as foundation for Semantic Web Analysis Graphs which capture analysis processes for increased self-service capabilities.
Keywords: Business Intelligence, Data Warehouse, Semantic Technologies, Linked Data
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the IEEE 14th International Scientific Conference on Informatics (Informatics 2017), November 14–16, 2017, Poprad, Slovakia |
| Publisher | IEEE Press |
| Number of pages | 7 |
| Publication status | Published - Nov 2017 |
Fields of science
- 102 Computer Sciences
- 102010 Database systems
- 102015 Information systems
- 102016 IT security
- 102025 Distributed systems
- 102027 Web engineering
- 102028 Knowledge engineering
- 102030 Semantic technologies
- 102033 Data mining
- 502050 Business informatics
- 503008 E-learning
JKU Focus areas
- Computation in Informatics and Mathematics
- Management and Innovation