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;
2001-01-01
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:
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