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Home / Proceedings / Principles of Knowledge Representation and Reasoning: Proceedings of the Tenth International Conference (KR2006) / Book One

Data Complexity of Query Answering in Description Logics

March 15, 2023

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Authors

Diego Calvanese

Giuseppe De Giacomo

Domenico Lembo

Maurizio Lenzerini

Riccardo Rosati

DOI:


Abstract:

In this paper we study data complexity of answering conjunctive queries over Description Logic knowledge bases constituted by an ABox and a TBox. In particular, we are interested in characterizing the FOL-reducibility and the polynomial tractability boundaries of conjunctive query answering, depending on the expressive power of the Description Logic used to specify the knowledge base. FOL-reducibility means that query answering can be reduced to evaluating queries over the database corresponding to the ABox. Since first-order queries can be expressed in SQL, the importance of FOL-reducibility is that, when query answering enjoys this property, we can take advantage of Data Base Management System (DBMS) techniques for both representing data, i.e., ABox assertions, and answering queries via reformulation into SQL. What emerges from our complexity analysis is that the Description Logics of the DL-Lite family are the maximal logics allowing conjunctive query answering through standard database technology. In this sense, they are the first Description Logics specifically tailored for effective query answering over very large ABoxes.

Topics: KR

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HOW TO CITE:

Diego Calvanese||Giuseppe De Giacomo||Domenico Lembo||Maurizio Lenzerini||Riccardo Rosati Data Complexity of Query Answering in Description Logics Principles of Knowledge Representation and Reasoning: Proceedings of the Tenth International Conference (KR2006) (2006) .

Diego Calvanese||Giuseppe De Giacomo||Domenico Lembo||Maurizio Lenzerini||Riccardo Rosati Data Complexity of Query Answering in Description Logics KR 2006, .

Diego Calvanese||Giuseppe De Giacomo||Domenico Lembo||Maurizio Lenzerini||Riccardo Rosati (2006). Data Complexity of Query Answering in Description Logics. Principles of Knowledge Representation and Reasoning: Proceedings of the Tenth International Conference (KR2006), .

Diego Calvanese||Giuseppe De Giacomo||Domenico Lembo||Maurizio Lenzerini||Riccardo Rosati. Data Complexity of Query Answering in Description Logics. Principles of Knowledge Representation and Reasoning: Proceedings of the Tenth International Conference (KR2006) 2006 p..

Diego Calvanese||Giuseppe De Giacomo||Domenico Lembo||Maurizio Lenzerini||Riccardo Rosati. 2006. Data Complexity of Query Answering in Description Logics. "Principles of Knowledge Representation and Reasoning: Proceedings of the Tenth International Conference (KR2006)". .

Diego Calvanese||Giuseppe De Giacomo||Domenico Lembo||Maurizio Lenzerini||Riccardo Rosati. (2006) "Data Complexity of Query Answering in Description Logics", Principles of Knowledge Representation and Reasoning: Proceedings of the Tenth International Conference (KR2006), p.

Diego Calvanese||Giuseppe De Giacomo||Domenico Lembo||Maurizio Lenzerini||Riccardo Rosati, "Data Complexity of Query Answering in Description Logics", KR, p., 2006.

Diego Calvanese||Giuseppe De Giacomo||Domenico Lembo||Maurizio Lenzerini||Riccardo Rosati. "Data Complexity of Query Answering in Description Logics". Principles of Knowledge Representation and Reasoning: Proceedings of the Tenth International Conference (KR2006), 2006, p..

Diego Calvanese||Giuseppe De Giacomo||Domenico Lembo||Maurizio Lenzerini||Riccardo Rosati. "Data Complexity of Query Answering in Description Logics". Principles of Knowledge Representation and Reasoning: Proceedings of the Tenth International Conference (KR2006), (2006): .

Diego Calvanese||Giuseppe De Giacomo||Domenico Lembo||Maurizio Lenzerini||Riccardo Rosati. Data Complexity of Query Answering in Description Logics. KR[Internet]. 2006[cited 2023]; .


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