This paper presents RoadRunner, a research project that aims at developing solutions for automatically extracting data from large HTML data sources. The target of our research are data-intensive Web sites, i.e., HTML-based sites with a fairly complex structure, that publish large amounts of data. The paper describes the top-level software architecture of the RoadRunner System, and the novel research challenges posed by the attempt to automate the information extraction process.

Automatic Web Information Extraction in the ROADRUNNER System

MECCA, Giansalvatore;
2001

Abstract

This paper presents RoadRunner, a research project that aims at developing solutions for automatically extracting data from large HTML data sources. The target of our research are data-intensive Web sites, i.e., HTML-based sites with a fairly complex structure, that publish large amounts of data. The paper describes the top-level software architecture of the RoadRunner System, and the novel research challenges posed by the attempt to automate the information extraction process.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11563/9634
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 2
social impact