A Business Intelligence Process to Support Information Retrieval in an Ontology-Based Environment

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 ind...

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Bibliographic Details
Published in2009 Ninth International Conference on Intelligent Systems Design and Applications pp. 896 - 901
Main Authors Sciarrone, F., Starace, P., Federici, T.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Bismuth
business intelligence
Companies
Data mining
Dictionaries
etl
Indexing
Information retrieval
Intelligent systems
Multidimensional systems
olap
Ontologies
Spatial databases
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Summary: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.
ISBN:1424447356
9781424447350
ISSN:2164-7143
2164-7151
DOI:10.1109/ISDA.2009.145