Tuning up FOIL for extracting information from the web
Pablo Palacios, Inaki Fernandez de Viana · International Journal of Computer Applications in Technology · 2008
Most websites are designed to be easily understood by human users. This constitutes a problem when you want to access this information automatically. To resolve this problem, different algorithms have emerged to automatically generate and extract information. One of these algorithms is SRV; SRV uses a technique of supervised learning that is expensive in time. In this paper we present various optimisations to reduce this cost by up 40%.