Detecting domain dynamics: Association Rule Extraction and diachronic clustering techniques in support of expertise

Identifying the evolution trends of a scientific domain can be hugely interesting for scientific research policy makers. The evolution of a scientific domain can be studied by associating clustering techniques, generating a representation of the publication scientific landscape based on its extracted terminology, with a diachronic analysis of clustering results obtained at two different times. This work, developed in the context of a European project, aims to propose an alternative way by producing an assisted diachronic analysis of clustering results decreasing the load of the expertise phase.