@inproceedings{publications28797,
       booktitle = {6th International Conference Model and Data Engineering (MEDI 2016)},
          volume = {9893},
           title = {Unifying Warehoused Data with Linked Open Data: A Conceptual Modeling Solution},
          author = {Franck Ravat and Jiefu Song},
       publisher = {Springer International Publishing},
            year = {2016},
           pages = {245--259},
        keywords = {Data warehouse - Linked open data - Unified conceptual model},
             url = {https://publications.ut-capitole.fr/id/eprint/28797/},
        abstract = {Linked Open Data (LOD) become one of the most important sources of information allowing enhancing business analyses based on warehoused data with external data. However, Data Warehouses (DWs) do not directly cooperate with LOD datasets due to the differences between data models. In this paper, we describe a conceptual multidimensional model, named Unified Cube, which is generic enough to include both warehoused data and LOD. Unified Cubes provide a comprehensive representation of useful data and, more importantly, support well-informed decisions by including multiple data sources in one analysis. To demonstrate the feasibility of our proposal, we present an implementation framework for building Unified Cubes based on DWs and LOD datasets.}
}