This work aims to provide a page segmentation algorithm which uses both visual and content information to extract the semantic structure of a web page. The visual information is u...
Textual patterns have been used effectively to extract information from large text collections. However they rely heavily on textual redundancy in the sense that facts have to be m...
Computational trust systems are getting popular in several domains such as social networks, grid computing and business-to-business systems. However, the estimation of the trustwo...
Understanding how users behave when they connect to social networking sites creates opportunities for better interface design, richer studies of social interactions, and improved ...
We consider the problem of automatically extracting general lists from the web. Existing approaches are mostly dependent upon either the underlying HTML markup or the visual struc...
Fabio Fumarola, Tim Weninger, Rick Barber, Donato ...