An architecture was described Burzagli et al. (2010) that can serve as a basis for the design of a Collective Knowledge Management System. The system can be used to exploit the strengths of collective intelligence and merge the gap that exists among two expressions of web intelligence, i.e., the Semantic Web and Web 2.0. In the architecture, a key component is represented by the Ontology Evolution Manager, made up with an Annotation Engine and a Feed Adapter, which is able to interpret textual contributions that represent human intelligence (such as posts on social networking tools), using automatic learning techniques, and to insert knowledge contained therein in a structure described by an ontology. This opens up interesting scenarios for the collective knowledge management system, which could be used to provide up to date information that describes a given domain of interest, to automatically augment it, thus coping with information evolution and to make information available for browsing and searching by an ontology driven engine. This report describes a Java based implementation of the Ontology Evolution Manager within the above outlined architecture.
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