2023 - Research.com Computer Science in Italy Leader Award
Riccardo Rosati spends much of his time researching Description logic, Theoretical computer science, Information retrieval, Conjunctive query and Ontology. His Description logic study combines topics in areas such as Knowledge base, Knowledge representation and reasoning, Query expansion, Sargable and Query optimization. In his study, Spatial query is strongly linked to SQL, which falls under the umbrella field of Knowledge base.
His Conjunctive query study combines topics from a wide range of disciplines, such as Boolean conjunctive query, Relational database management system, Abox, Query language and Semantics. His research investigates the link between Boolean conjunctive query and topics such as RDF query language that cross with problems in Programming language. His study focuses on the intersection of Ontology and fields such as Ontology with connections in the field of Data access, Semantics, Relational database and Database.
His primary scientific interests are in Description logic, Theoretical computer science, Ontology, Information retrieval and Conjunctive query. The Description logic study combines topics in areas such as Semantics and Knowledge base. His studies in Theoretical computer science integrate themes in fields like Algorithm, Data integration and Knowledge representation and reasoning.
The concepts of his Ontology study are interwoven with issues in Ontology and Data access. His Query optimization study in the realm of Information retrieval interacts with subjects such as Context. Riccardo Rosati has included themes like Query language, SQL, Set and Boolean conjunctive query in his Conjunctive query study.
His primary areas of study are Ontology, Information retrieval, Data access, Description logic and Theoretical computer science. His work on Web Ontology Language as part of general Ontology research is frequently linked to Context, thereby connecting diverse disciplines of science. His Information retrieval research is multidisciplinary, incorporating elements of Function and Benchmark.
His Description logic research incorporates themes from Data complexity and Knowledge base. His Theoretical computer science research is multidisciplinary, incorporating perspectives in Semantics, Logical consequence, Conjunctive query and Set. The various areas that Riccardo Rosati examines in his Conjunctive query study include Existentialism, Binary number, Abox and Boolean conjunctive query.
His main research concerns Data access, Information retrieval, Ontology, Ontology-based data integration and Ontology. His Data access research is multidisciplinary, relying on both Equivalence, Theoretical computer science, Description logic, Logical consequence and Debugging. Riccardo Rosati has researched Theoretical computer science in several fields, including Algorithm, Ontology language, Data mapping and Web Ontology Language.
Riccardo Rosati studies Query language, a branch of Information retrieval. His Query language research integrates issues from Semantic technology, Usability, Query optimization and Boolean conjunctive query. While the research belongs to areas of Ontology, Riccardo Rosati spends his time largely on the problem of Relational database, intersecting his research to questions surrounding World Wide Web.
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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)
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)
Linking data to ontologies
Antonella Poggi;Domenico Lembo;Diego Calvanese;Giuseppe De Giacomo.
Journal on Data Semantics (2008)
Data complexity of query answering in description logics
Diego Calvanese;Giuseppe De Giacomo;Domenico Lembo;Maurizio Lenzerini.
Artificial Intelligence (2013)
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)
DL-Lite: tractable description logics for ontologies
Diego Calvanese;Giuseppe De Giacomo;Domenico Lemho;Maurizio Lenzerini.
national conference on artificial intelligence (2005)
Data complexity of query answering in description logics
Diego Calvanese;Giuseppe De Giacomo;Domenico Lembo;Maurizio Lenzerini.
principles of knowledge representation and reasoning (2006)
Description logic framework for information integration
Diego Calvanese;Giuseppe De Giacomo;Maurizio Lenzerini;Daniele Nardi.
principles of knowledge representation and reasoning (1998)
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