"Inconsistency tolerance in ontology-based data management" (2012)
Ontology-based data management aims at accessing, using, and maintaining a set of data sources by means of an ontology, i.e., a conceptual representation of the domain of interest in the underlying information system. Since the ontology describes the domain, and not simply the data at the sources, it frequently happens that data are inconsistent with respect to the ontology. Inconsistency tolerance is therefore a crucial feature of an in the operation of ontology-based data management systems. In this talk we first illustrate the main ideas and techniques for using an ontology to access the data layer of an information system, and then we discuss several issues related to inconsistency tolerance in ontology-based data management.
Brief author biography:
Maurizio Lenzerini is a professor in Computer Science and Engineering at the Università di Roma La Sapienza, Italy, where he is currently leading a research group on Artificial Intelligence and Databases. His main research interests are in Knowledge Representation and Reasoning, Ontology languages, Semantic Data Integration, and Service Modeling. His recent work is mainly oriented towards the use of Knowledge Representation and Automated Reasoning principles and techniques in Information System management, and in particular in information integration and service composition. He has authored over 250 papers published in leading international journals and conferences. He has served on the editorial boards of several international journals, and on the program committees of the most prestigious conferences in the areas of interest. He is currently the Chair of the Executive Committee of the ACM Symposium of Principles of Database Systems, a Fellow of the European Coordinating Committee for Artificial Intelligence (ECCAI), a Fellow of the Association for Computing Machinery (ACM), and a member of The Academia Europaea - The Academy of Europe.