eprintid: 28797 rev_number: 11 eprint_status: archive userid: 19147 dir: disk0/00/02/87/97 datestamp: 2019-03-26 11:22:31 lastmod: 2021-04-02 15:59:02 status_changed: 2019-03-26 11:22:31 type: conference_item metadata_visibility: show creators_name: Ravat, Franck creators_name: Song, Jiefu creators_idrefppn: 127663711 title: Unifying Warehoused Data with Linked Open Data: A Conceptual Modeling Solution subjects: subjects_INFO 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. date: 2016 publisher: Springer International Publishing faculty: info divisions: IRIT keywords: Data warehouse - Linked open data - Unified conceptual model language: en has_fulltext: TRUE view_date_year: 2016 full_text_status: public pres_type: paper volume: 9893 pagerange: 245-259 event_title: 6th International Conference Model and Data Engineering (MEDI 2016) event_type: conference harvester_local_overwrite: eprintid harvester_local_overwrite: userid harvester_local_overwrite: date harvester_local_overwrite: official_url harvester_local_overwrite: issn harvester_local_overwrite: dir harvester_local_overwrite: keywords harvester_local_overwrite: pagerange harvester_local_overwrite: publisher harvester_local_overwrite: volume harvester_local_overwrite: creators_name harvester_local_overwrite: faculty harvester_local_overwrite: site harvester_local_overwrite: abstract harvester_local_overwrite: title harvester_local_overwrite: publication harvester_local_overwrite: type harvester_local_overwrite: number harvester_local_overwrite: note harvester_local_overwrite: ispublished harvester_local_overwrite: id_number harvester_local_overwrite: event_title harvester_local_overwrite: pres_type harvester_local_overwrite: event_location harvester_local_overwrite: series harvester_local_overwrite: isbn harvester_local_overwrite: book_title harvester_local_overwrite: editors_name harvester_local_overwrite: department harvester_local_overwrite: thesis_type harvester_local_overwrite: pages harvester_local_overwrite: divisions harvester_local_overwrite: subjects harvester_local_overwrite: language harvester_local_overwrite: event_type harvester_local_overwrite: creators_idrefppn site: ut1 citation: Ravat, Franck and Song, Jiefu (2016) Unifying Warehoused Data with Linked Open Data: A Conceptual Modeling Solution. In: 6th International Conference Model and Data Engineering (MEDI 2016). document_url: https://publications.ut-capitole.fr/id/eprint/28797/1/assistant_11844734_1656613592_0.pdf