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Enabling Semantic Analysis of User Browsing Patterns in the Web of Data
USEWOD Workshop, @WWW2012
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 effective
techniques of querying expressive usage patterns.
We also present a query answering approach, which is useful to find 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. The logs are semantically formalized using respective
domain ontologies and RDF representations of the
Web resources being accessed. We show the effectiveness of our approach through experimental results, providing in this way an exploratory analysis of the way users browse the Web of Data.