Interactive Tuples Extraction from Semi-Structured Data - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 2006

Interactive Tuples Extraction from Semi-Structured Data

Résumé

This paper studies from a machine learning viewpoint the problem of extracting tuples of a target n-ary relation from tree structured data like XML or XHTML documents. Our system can extract, without any post-processing, tuples for all data structures including nested, rotated and cross tables. The wrapper induction algorithm we propose is based on two main ideas. It is incremental: partial tuples are extracted by increasing length. It is based on a representation-enrichment procedure: partial tuples of length i are encoded with the knowledge of extracted tu- ples of length i − 1. The algorithm is then set in a friendly interactive wrapper induction system for Web documents. We evaluate our system on several information extraction tasks over corporate Web sites. It achieves state-of-the-art results on simple data structures and succeeds on complex data structures where previous approaches fail. Experiments also show that our interactive framework significantly reduces the number of user interactions needed to build a wrapper.
Fichier principal
Vignette du fichier
WI2006.pdf (204.99 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

inria-00581253 , version 1 (30-03-2011)

Identifiants

  • HAL Id : inria-00581253 , version 1

Citer

Rémi Gilleron, Patrick Marty, Fabien Torre, Marc Tommasi. Interactive Tuples Extraction from Semi-Structured Data. Web Intelligence, Dec 2006, Hong Kong, China. ⟨inria-00581253⟩
137 Consultations
375 Téléchargements

Partager

Gmail Facebook X LinkedIn More