2017 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For fundamental contributions to knowledge representation, description logics, ontologies, and AI and databases, which have become mainstream in AI.
2011 - Member of Academia Europaea
2009 - ACM Fellow For contributions to data management and knowledge representation.
Maurizio Lenzerini mostly deals with Theoretical computer science, Description logic, Information retrieval, Knowledge representation and reasoning and Conjunctive query. His studies deal with areas such as Computational complexity theory, Query language, Programming language and Query optimization as well as Theoretical computer science. He interconnects Query expansion and First-order logic in the investigation of issues within Query language.
His Query optimization research is multidisciplinary, incorporating elements of Data integration, Path expression and Data warehouse. His work in the fields of Abox overlaps with other areas such as T-norm fuzzy logics. His studies in Knowledge representation and reasoning integrate themes in fields like Discrete mathematics, Datalog, Conceptual model, Relation and Multimodal logic.
Maurizio Lenzerini focuses on Theoretical computer science, Description logic, Information retrieval, Ontology and Data integration. His Theoretical computer science research incorporates themes from Query language, Algorithm, Set and Artificial intelligence. His Description logic research incorporates elements of Conjunctive query, Knowledge base and Knowledge representation and reasoning.
His biological study spans a wide range of topics, including Conceptual schema, Data mining and Information system. His research in Ontology tackles topics such as Data management which are related to areas like Knowledge management. His Data integration course of study focuses on Data warehouse and Information integration.
His main research concerns Ontology, Description logic, Data access, Information retrieval and Conjunctive query. His Ontology study combines topics in areas such as Domain, Data management, Data integration, Information system and Data science. His study with Description logic involves better knowledge in Theoretical computer science.
Maurizio Lenzerini combines subjects such as Time complexity and Axiom with his study of Theoretical computer science. His biological study focuses on Query optimization. His Conjunctive query research is multidisciplinary, incorporating perspectives in Query language, Negation, Abox and Metamodeling.
Ontology, Information retrieval, Description logic, Data access and Information system are his primary areas of study. His study on Ontology-based data integration and Open Biomedical Ontologies is often connected to Data quality as part of broader study in Ontology. When carried out as part of a general Information retrieval research project, his work on Conjunctive query, Query optimization and Query language is frequently linked to work in Through-the-lens metering, therefore connecting diverse disciplines of study.
His Description logic research integrates issues from SQL and Knowledge representation and reasoning. The various areas that Maurizio Lenzerini examines in his Data access study include Semantic technology and Data mining. The concepts of his Information system study are interwoven with issues in Data integration, Data management and Knowledge management.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Data integration: a theoretical perspective
symposium on principles of database systems (2002)
A comparative analysis of methodologies for database schema integration
C. Batini;M. Lenzerini;S. B. Navathe.
ACM Computing Surveys (1986)
Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family
Diego Calvanese;Giuseppe Giacomo;Domenico Lembo;Maurizio Lenzerini.
Journal of Automated Reasoning (2007)
Linking data to ontologies
Antonella Poggi;Domenico Lembo;Diego Calvanese;Giuseppe De Giacomo.
Journal on Data Semantics (2008)
Fundamentals of Data Warehouses
Matthias Jarke;Maurizio Lenzerini;Yannis Vassiliou;Panos Vassiliadis.
Automatic Composition of E-services That Export Their Behavior
Daniela Berardi;Diego Calvanese;Giuseppe De Giacomo;Maurizio Lenzerini.
international conference on service oriented computing (2003)
Reasoning in description logics
Francesco M. Donini;Maurizio lenzerini;Daniele Nardi;Andrea Schaerf.
Principles of knowledge representation (1997)
The complexity of concept languages
Werner Nutt;Francesco M. Donini;Maurizio Lenzerini;Daniele Nardi.
Information & Computation (1997)
Data complexity of query answering in description logics
Diego Calvanese;Giuseppe De Giacomo;Domenico Lembo;Maurizio Lenzerini.
Artificial Intelligence (2013)
DL-Lite: tractable description logics for ontologies
Diego Calvanese;Giuseppe De Giacomo;Domenico Lemho;Maurizio Lenzerini.
national conference on artificial intelligence (2005)
Profile was last updated on December 6th, 2021.
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