The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Automating multidimensional design from ontologies
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Integrating Data Warehouses with Web Data: A Survey
IEEE Transactions on Knowledge and Data Engineering
Graph OLAP: Towards Online Analytical Processing on Graphs
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Efficient retrieval of ontology fragments using an interval labeling scheme
Information Sciences: an International Journal
ER'07 Proceedings of the 26th international conference on Conceptual modeling
Multidimensional integrated ontologies: a framework for designing semantic data warehouses
Journal on Data Semantics XIII
An ETL process for OLAP using RDF/OWL ontologies
Journal on Data Semantics XIII
Enhancing OLAP analysis with web cubes
ESWC'12 Proceedings of the 9th international conference on The Semantic Web: research and applications
Sift: an end-user tool for gathering web content on the go
Proceedings of the 2012 ACM symposium on Document engineering
Mix-n-Match: building personal libraries from web content
TPDL'12 Proceedings of the Second international conference on Theory and Practice of Digital Libraries
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The Semantic Web has become a new environment that enables organizations to attach semantic annotations taken from ontologies to the information they generate. As a result, large amounts of complex, semi-structured and heterogeneous semantic data repositories are being made available, making necessary new data warehouse tools for analyzing the Semantic Web. In this paper, we present a semi-automatic method for the identification and extraction of valid facts aimed at analyzing semantic data expressed as instance stores in RDF/OWL. The starting point of the method is a multidimensional (MD) star schema (i.e., subject of analysis, dimensions and measures) designed by the analyst by picking up concepts and properties from the ontology. The method exploits the semantics and theoretical foundations of Description Logics to derive valid combinations of instances into fact tuples. Moreover, some specific index structures are applied to the ontology in order to reach scalability and effectiveness.