  The hypergraph-of-entity was conceptually proposed as a general model for
entity-oriented search. However, only the performance for ad hoc document
retrieval had been assessed. We continue this line of research by also
evaluating ad hoc entity retrieval, and entity list completion. We also attempt
to scale the model, so that it can support the complete INEX 2009 Wikipedia
collection. We do this by indexing the top keywords for each document, reducing
complexity by partially lowering the number of nodes and, indirectly, the
number of hyperedges linking terms to entities. This enables us to compare the
effectiveness of the hypergraph-of-entity with the results obtained by the
participants of the INEX tracks for the considered tasks. We find this to be a
viable model that is, to our knowledge, the first attempt at a generalization
in information retrieval, in particular by supporting a universal ranking
function for multiple entity-oriented search tasks.
