Ontology-Based Data Access: The Experience at the Italian Department of Treasury

Ontology-based data access (OBDA) is a new paradigm for managing complex information systems through semantic technologies. In this paper we present what we believe is the first industrial experience of a comprehensive OBDA project, developed jointly by Sapienza University of Rome and the Department of Treasury of the Italian Ministry of Econonomy and Finance. After illustrating the state of the art of ODBA research at the beginning of the project, we describe the various steps we have carried out in order to apply the research results in a real-world settings, and the new techniques and tools we have devised to make the overall approach effective.

[1]  Diego Calvanese,et al.  Using OWL in Data Integration , 2009, Semantic Web Information Management.

[2]  Maurizio Lenzerini Ontology-based data management , 2011, CIKM '11.

[3]  Letizia Tanca,et al.  Semantic Web Information Management - A Model-Based Perspective , 2009, Semantic Web Information Management.

[4]  Domenico Lembo,et al.  Ontology-based Data Integration with MASTRO-I for Configuration and Data Management at SELEX Sistemi Integrati , 2008, SEBD.

[5]  Maurizio Lenzerini,et al.  Inconsistency-Tolerant First-Order Rewritability of DL-Lite with Identification and Denial Assertions , 2012, Description Logics.

[6]  Carsten Lutz,et al.  The Combined Approach to Query Answering in DL-Lite , 2010, KR.

[7]  Diego Calvanese,et al.  Path-Based Identification Constraints in Description Logics , 2008, KR.

[8]  Diego Calvanese,et al.  Linking Data to Ontologies , 2008, J. Data Semant..

[9]  Diego Calvanese,et al.  Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family , 2007, Journal of Automated Reasoning.

[10]  Diego Calvanese,et al.  High Performance Query Answering over DL-Lite Ontologies , 2012, KR.

[11]  Maurizio Lenzerini,et al.  Optimizing query rewriting in ontology-based data access , 2013, EDBT '13.

[12]  Boris Motik,et al.  Efficient Query Answering for OWL 2 , 2009, SEMWEB.

[13]  Alon Y. Halevy,et al.  Principles of Data Integration , 2012 .

[14]  Maurizio Lenzerini,et al.  Mastro at Work: Experiences on Ontology-Based Data Access , 2010, Description Logics.