An approach for the efficient retrieval in ontology-enhanced information portals

In this paper we present an application of the logic-based query refinement in the searching for information in an information portal. The refinement approach is based on discovering causal relationships between queries regarding the inclusion relation between the answers of these queries. We define a formal model for the query-answering pairs and use methods from inductive logic programming for the efficient calculation of a (lattice) order between them. In a case study regarding searching a bibliographic database we demonstrate the benefits of using our approach in the traditional information retrieval tasks, especially the combination of the free-text based querying and the logic-based query refinement.