Ponencia
Information Extraction Framework
Autor/es | Sleiman, Hassan A.
Corchuelo Gil, Rafael |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2012-03 |
Fecha de depósito | 2023-03-24 |
Publicado en |
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ISBN/ISSN | 978-3-642-28794-7 (impreso) 978-3-642-28795-4 (online) |
Resumen | The literature provides many techniques to infer rules that can be used to configure web information extractors. Unfortunately, these techniques have been developed independently, which makes it very difficult to compare ... The literature provides many techniques to infer rules that can be used to configure web information extractors. Unfortunately, these techniques have been developed independently, which makes it very difficult to compare the results: there is not even a collection of datasets on which these techniques can be assessed. Furthermore, there is not a common infrastructure to implement these techniques, which makes implementing them costly. In this paper, we propose a framework that helps software engineers implement their techniques and compare the results. Having such a framework allows comparing techniques side by side and our experiments prove that it helps reduce development costs. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España Ministerio de Educación y Ciencia (MEC). España Junta de Andalucía |
Identificador del proyecto | TIN2010-21744-C02-01
TIN2007-64119 P07-TIC-2602 P08-TIC-4100 TIN2008-04718-E TIN2010-09988-E |
Cita | Sleiman, H.A. y Corchuelo Gil, R. (2012). Information Extraction Framework. En 10th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS 2012) (149-156), Salamanca, España: Springer. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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