Abstract
Traditionally data used in on-line analytical processing (OLAP) has limited to the content of one data warehouse of the company. However, analysis needs are often more advantages and data is needed from different sources. We study how the semantics of data sources can be described to allow combining data from several sources into an OLAP cube. We apply Semantic Web technologies for defining contents of the data sources. RDF descriptions conforming to an ontology can be used to find suitable data from different sources and to semantically integrate the
needed heterogeneous data into one OLAP cube.
needed heterogeneous data into one OLAP cube.
| Original language | English |
|---|---|
| Title of host publication | 3rd International Semantic Web Conference (ISWC2004) |
| Publisher | The Semantic Web Science Association |
| Pages | 89-90 |
| Publication status | Published - 2004 |
| MoE publication type | B3 Non-refereed article in conference proceedings |
| Event | 3rd International Semantic Web Conference, ISWC 2004 - Hiroshima, Japan Duration: 7 Nov 2004 → 11 Nov 2004 |
Conference
| Conference | 3rd International Semantic Web Conference, ISWC 2004 |
|---|---|
| Country/Territory | Japan |
| City | Hiroshima |
| Period | 7/11/04 → 11/11/04 |