A New Methodology for Collecting and Exploiting Vast Amounts of Dynamic Data

The current approaches aiming at collective intelligence modelling often rely on traditional methods (ontologies, graphs). Even if those traditional methods may have reached their limitations in front of demanding emerging practices, the major conceptual tools enrolled for current and future Web are deeply rooted in the information storage and retrieval practices. The focus is on developing more original technologies for capturing, analyzing, exploiting and visualizing data. The age cements/arrangements provide the appropriate epistemological context of our contribution. The simplicial complexes are the mathematical support of the methodology. The result is a shift from networks studied towards graph theory to higher dimensional networks structures. The representation is more than graphs, or even hyper graphs. A geometric perspective shows the arrangement as assembling polyhedra of all sizes. Their contacts can form chains of adjacencies. It does not only generalize the notion of path graphs but it also makes available a range of quantitative and qualitative tools on the structure. Thus, separate parts, which can be more or less strongly linked, length of paths to traverse, and even loops or "missing parts", are meaningful metadata representations.