A framework for enriching Data Warehouse analysis with Question Answering systems
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/62695
Título: | A framework for enriching Data Warehouse analysis with Question Answering systems |
---|---|
Autor/es: | Ferrández, Antonio | Maté, Alejandro | Peral, Jesús | Trujillo, Juan | Gregorio Medrano, Elisa de | Aufaure, Marie-Aude |
Grupo/s de investigación o GITE: | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) | Lucentia |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | Business Intelligence | Data Warehouse | Question Answering | Information Extraction | Information Retrieval |
Área/s de conocimiento: | Lenguajes y Sistemas Informáticos |
Fecha de publicación: | feb-2016 |
Editor: | Springer Science+Business Media New York |
Cita bibliográfica: | Journal of Intelligent Information Systems. 2016, 46(1): 61-82. doi:10.1007/s10844-014-0351-2 |
Resumen: | Business Intelligence (BI) applications allow their users to query, understand, and analyze existing data within their organizations in order to acquire useful knowledge, thus making better strategic decisions. The core of BI applications is a Data Warehouse (DW), which integrates several heterogeneous structured data sources in a common repository of data. However, there is a common agreement in that the next generation of BI applications should consider data not only from their internal data sources, but also data from different external sources (e.g. Big Data, blogs, social networks, etc.), where relevant update information from competitors may provide crucial information in order to take the right decisions. This external data is usually obtained through traditional Web search engines, with a significant effort from users in analyzing the returned information and in incorporating this information into the BI application. In this paper, we propose to integrate the DW internal structured data, with the external unstructured data obtained with Question Answering (QA) techniques. The integration is achieved seamlessly through the presentation of the data returned by the DW and the QA systems into dashboards that allow the user to handle both types of data. Moreover, the QA results are stored in a persistent way through a new DW repository in order to facilitate comparison of the obtained results with different questions or even the same question with different dates. |
Patrocinador/es: | This paper has been partially supported by the MESOLAP (TIN2010-14860), GEODASBI (TIN2012-37493-C03-03), LEGOLANG-UAGE (TIN2012-31224) and DIIM2.0 (PROMETEOII/2014/001) projects from the Spanish Ministry of Education and Competitivity. Alejandro Maté is funded by the Generalitat Valenciana under an ACIF grant (ACIF/2010/298). |
URI: | http://hdl.handle.net/10045/62695 |
ISSN: | 0925-9902 (Print) | 1573-7675 (Online) |
DOI: | 10.1007/s10844-014-0351-2 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/article |
Derechos: | © Springer Science+Business Media New York 2014. The final publication is available at Springer via http://dx.doi.org/10.1007/s10844-014-0351-2 |
Revisión científica: | si |
Versión del editor: | http://dx.doi.org/10.1007/s10844-014-0351-2 |
Aparece en las colecciones: | INV - LUCENTIA - Artículos de Revistas INV - GPLSI - Artículos de Revistas |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
2016_Ferrandez_etal_JIntellInfSyst_final.pdf | Versión final (acceso restringido) | 1,33 MB | Adobe PDF | Abrir Solicitar una copia |
2016_Ferrandez_etal_JIntellInfSyst_revised.pdf | Versión revisada (acceso abierto) | 1,55 MB | Adobe PDF | Abrir Vista previa |
Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.