where YOu Go is where you Are

Behavioral patterns can be extracted from the traces of past human activities through a semantic- enriched knowledge discovery process. Here, positioning data are first transformed in semantically enriched trajectory data stored in a database. Then, mobility patterns, the most common movements emerging from data, are computed with data mining algorithms. A further semantic enrichment step is needed to give context-dependent meaning to the discovered patterns. New challenging research topics result from this work. Among them, we believe that studying mobility form a complex network point of view may offer a complementary approach to the human mobility understanding in such complex form of data. Several application domain may benefit from the results of this research, as mobility management institutions.