  A useful step towards better interpretation and analysis of the usage
patterns is to formalize the semantics of the resources that users are
accessing in the Web. We focus on this problem and present an approach for the
semantic formalization of usage logs, which lays the basis for eective
techniques of querying expressive usage patterns. We also present a query
answering approach, which is useful to nd in the logs expressive patterns of
usage behavior via formulation of semantic and temporal-based constraints. We
have processed over 30 thousand user browsing sessions extracted from usage
logs of DBPedia and Semantic Web Dog Food. All these events are formalized
semantically using respective domain ontologies and RDF representations of the
Web resources being accessed. We show the eectiveness of our approach through
experimental results, providing in this way an exploratory analysis of the way
users browse theWeb of Data.
