Variable length-based genetic representation to automatically evolve wrappers
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Springer Berlin HeidelbergDate
2010Citation
10.1007/978-3-642-12433-4_44
Trends in Practical Applications of Agents and Multiagent Systems: 8th International Conference on Practical Applications of Agents and Multiagent Systems. Advances in Intelligent and Soft Computing, Volumen 71. Springer, 10. 371-378.
ISSN
1867-5662 (print); 2194-5365 (online)ISBN
978-3-642-12432-7 (print); 978-3-642-12433-4 (online)DOI
10.1007/978-3-642-12433-4_44Funded by
This work has been partially supported by the Spanish Ministry of Science and Innovation under the projects Castilla-La Mancha project PEII09-0266-6640, COMPUBIODIVE (TIN2007-65989), and by V-LeaF (TIN2008-02729-E/TIN).Editor's Version
http://dx.doi.org/10.1007/978-3-642-12433-4_44Subjects
Computational Intelligence; Artificial Intelligence; InformáticaNote
The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-12433-4_44Proceedings 8th International Conference on Practical Applications of Agents and Multiagent Systems
Rights
© Springer-Verlag Berlin Heidelberg 2010Abstract
The Web has been the star service on the Internet, however the outsized information available and its decentralized nature has originated an intrinsic difficulty to locate, extract and compose information. An automatic approach is required to handle with this huge amount of data. In this paper we present a machine learning algorithm based on Genetic Algorithms which generates a set of complex wrappers, able to extract information from theWeb. The paper presents the experimental evaluation of these wrappers over a set of basic data sets.
Files in this item
Google Scholar:Barrero, David F.
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González-Pardo, Antonio
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R-Moreno, María Dolores
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Camacho, David
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