Automatic Web Information Extraction in the RoadRunner System

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Authors: Giansalvatore Mecca, Paolo Merialdo, Valter Crescenzi

Tags: 2001, conceptual modeling

This paper presents Road Runner, 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 Road Runner System, and the novel research challenges posed by the attempt to automate the information extraction process.

Read the full paper here: https://link.springer.com/chapter/10.1007/3-540-46140-X_21