The Digital Libraries community has shown over the last
years a growing interest in Semantic Search technologies. Content anal-
ysis and annotation is a vital task, but for large corpora it's not feasible
to do it manually. Several automatic tools are available, but such tools
usually provide little tuning possibilities and do not support integra-
tion with dierent systems. Search and adaptation technologies, on the
other hand, are becoming increasingly multi-lingual and cross-domain to
tackle the continuous growth of the available information. So, we claim
that to tackle such criticalities a more systematic and
exible approach, such as the use of a framework, is needed. In this paper we present a
novel framework for Knowledge Extraction, whose main goal is to sup-
port the development of new applications and to ease the integration of
the existing ones.