Incorporation of Ontologies in Data Warehouse/Business Intelligence Systems - A Systematic Literature Review

Semantic Web (SW) techniques, such as ontologies, are used in Information Systems (IS) to cope with the growing need for sharing and reusing data knowledge various research areas. Despite increasing emphasis on unstructured analysis IS, structured its remain critical organizational performance management. This systematic literature review aims at analyzing incorporation impact of ontologies Data Warehouse/Business Intelligence (DW/BI) systems, contributing current by providing a classification works based field each case study, SW techniques used, authors’ motivations using them, focus DW/BI design, development exploration tasks. A search strategy was developed, including definition keywords, inclusion exclusion criteria, selection engines. Ontologies mainly defined Ontology Language standard support multiple tasks, Dimensional Modeling, Requirement Analysis, Extract-Transform-Load, BI Application Design. Reviewed authors present variety ontology-driven solutions DW/BI, eliminating or solving heterogeneity/semantics problems, interoperability, facilitating integration, semantic content requirements analysis. Further, implications practice agenda indicated.