An entity-driven approach to web resource clustering and exploration

In this paper, we present an approach for classifying heterogeneous web information resources and organizing them as smart entity views based on a target entity of interest (e.g., person, place, town, event). In particular, we propose a dimensional clustering algorithm for the generation of smart entity views and we provide analysis techniques for enabling web resource exploration through entity visualization, entity analysis, and entity expansion.