Abstract
In this paper a new tool which allows flexible querying on multidimensional data bases is presented. Linguistic F-Cube Factory is based on the use of natural language when querying multidimensional data cubes to obtain linguistic results. Natural language is one of the best ways of presenting results to human users as it is their inherent way of communication. Data warehouses take advantage of the multidimensional data model in order to store big amounts of data that users can manage and query by means of OLAP operations. They are a context where the development of a linguistic querying tool is of special interest.
Part of this research was supported by the Andalusian Government (Junta de Andalucía, Consejería de Innovación, Ciencia y Empresa) under project P07-TIC-03175 Representación y Manipulación de Objetos Imperfectos en Problemas de Integración de Datos: Una Aplicación a los Almacenes de Objetos de Aprendizaje. Part of this research was supported by the Spanish Government (Science and Innovation Department) under project TIN2009-08296.
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Castillo-Ortega, R., Marín, N., Sánchez, D., Molina, C. (2013). Flexible Querying with Linguistic F-Cube Factory. In: Larsen, H.L., Martin-Bautista, M.J., Vila, M.A., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2013. Lecture Notes in Computer Science(), vol 8132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40769-7_22
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