A web2.0 collaborative cultural heritage archive with recommender system over trace based reasoning

Cultural heritage presents a big quantity of information; they entice different kinds of persons. In last decades, computer technology and internet helped bringing history to present life. Ancient and historical documents were digitized and exposed online. Therefore, cultural heritage digital libraries and web sites were created, first to enhance document preservation, and second to facilitate research and study of ancient documents. The arriving of Web 2.0 technologies enabled online access to functionally complex and rich applications, it is necessary to provide cultural heritage digital library with collaborative and personalized features, enabling users to participate in the annotation process. Now the questions that interest us are: What after permitting users to annotate manuscript images? How can a digital library take advantage of users collaborative annotations? Is it interesting to track and to register the user interaction with cultural heritage library? In this article, we present our Web2.0 cultural heritage archive that traces user actions for recommendation purposes. Users are assisted especially throughout the annotation process to reduce annotation inaccuracy.