Semantic content analysis is an activity that can greatly sup-
p ort a broad range of user mo delling applications. Several automatic
to ols are available, however such systems usually provide little tuning
p ossibilities and do not supp ort integration with dierent systems. Per-
sonalization applications, on the other hand, are b ecoming increasingly
multi-lingual and cross-domain. In this pap er we present a novel frame-
work for Knowledge Extraction, whose main goal is to supp ort the de-
velopment of new strategies and technologies and to ease the integration
of the existing ones.
