A Decision-Making Ontology for Analytical Requirements Elicitation
Despite their potential in analytical requirements elicitation, goal-oriented approaches in Data warehouse (DW) projects have not been well exploited. The main difficulties in their adoption is the lack of assistance in goal elicitation and the lack of support in generating suitable information for decision-making, from the defined goals. To address these limitations, in this paper we introduce a decision-making ontology that formalizes the semantic relationships among the decision makers’ goals and explicitly relates the decision-making knowledge to the goals. In addition, this ontology is enriched with a set of queries and inference rules that provide for an automatic generation of suitable analytical requirements from the goals fulfilling any business process that the decision maker cares to analyze.
- 2.Mazón, J.-N., Pardillo, J., Trujillo, J.: A model-driven goal-oriented requirement engineering approach for data warehouses. ER Workshops, LNCS 4802, 255–264 (2007)Google Scholar
- 3.Bargui, F., Feki, J., Ben-Abdallah, H.: A natural language approach for data mart schema design. In the 9th Int. ACIT, Tunisia (2008)Google Scholar
- 4.Mard, M., Dunne, R.R., obsborne, E., Rigby, J.S.: Driving your company’s value: strategic benchmarking for value. Wiley, New Jersey (2004)Google Scholar
- 5.Bargui, F., Feki, J., Ben-Abdallah, H.: Vers une expression des besoins décisionnels en langage naturel. In Proc. 3ème Atelier sur les Systèmes Décisionnels, pp. 1–12 (2008)Google Scholar
- 6.Bargui, F., Ben-Abdallah, H., Feki, J.: Multidimensional Concept Extraction and Validation from OLAP Requirements in NL, pp. 199–206. In Proc IEEE NLP-KE, China (2009)Google Scholar