A Business Intelligence Process to Support Information Retrieval in an Ontology-Based Environment
Filippo Sciarrone, Paolo Starace, Tommaso Federici · 2009
In this paper we present a business intelligence process to dynamically develop multidimensional OLAP schemas to support information retrieval in an ontology-based environment. The particular aspect of our work consists in the integration of information retrieval techniques, such as the semantic indexing of non-structured documents with some dynamic management techniques of unbalanced hierarchies stored in a data warehouse. We show how to develop an ETL process to automatically build OLAP dimensions, inheriting the hierarchic structure of ontologies, with the goal of using the semantically indexed data to carry out multidimensional OLAP analysis. We experimented our system in a company environment with encouraging results.