Hypergraph-of-Entity: A General Model for Entity-Oriented Search
This work addresses the problem of entity-oriented search in information retrieval by proposing a generalizable model, though it is incremental as it builds on prior conceptual work and focuses on specific benchmarks.
The authors extended the hypergraph-of-entity model to evaluate ad hoc entity retrieval and entity list completion, scaling it to handle the INEX 2009 Wikipedia collection by indexing top keywords to reduce complexity. They found it to be a viable general model, achieving competitive results compared to INEX participants across multiple tasks.
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.