creators_name: Ferrara, Emilio creators_name: Baumgartner, Robert type: confpaper datestamp: 2011-10-01 00:34:50 lastmod: 2011-10-01 00:34:50 metadata_visibility: no_search title: Intelligent Self-Repairable Web Wrappers ispublished: pub subjects: comp-sci-art-intel full_text_status: public note: ISSN: 0302-9743 abstract: The amount of information available on the Web grows at an incredible high rate. Systems and procedures devised to extract these data from Web sources already exist, and different approaches and techniques have been investigated during the last years. On the one hand, reliable solutions should provide robust algorithms of Web data mining which could automatically face possible malfunctioning or failures. On the other, in literature there is a lack of solutions about the maintenance of these systems. Procedures that extract Web data may be strictly interconnected with the structure of the data source itself; thus, malfunctioning or acquisition of corrupted data could be caused, for example, by structural modifications of data sources brought by their owners. Nowadays, verification of data integrity and maintenance are mostly manually managed, in order to ensure that these systems work correctly and reliably. In this paper we propose a novel approach to create procedures able to extract data from Web sources -- the so called Web wrappers -- which can face possible malfunctioning caused by modifications of the structure of the data source, and can automatically repair themselves. date: 2011 date_type: published volume: 6934 pagerange: 274-285 refereed: TRUE citation: Ferrara, Emilio and Baumgartner, Robert (2011) Intelligent Self-Repairable Web Wrappers. [Conference Paper] document_url: http://cogprints.org/7648/1/