Corpus ID: 6132791

# DL-Lite: Tractable Description Logics for Ontologies

@inproceedings{Calvanese2005DLLiteTD,
title={DL-Lite: Tractable Description Logics for Ontologies},
author={Diego Calvanese and Giuseppe De Giacomo and Domenico Lembo and Maurizio Lenzerini and Riccardo Rosati},
booktitle={AAAI},
year={2005}
}
We propose a new Description Logic, called DL-Lite, specifically tailored to capture basic ontology languages, while keeping low complexity of reasoning. Reasoning here means not only computing subsumption between concepts, and checking satisfiability of the whole knowledge base, but also answering complex queries (in particular, conjunctive queries) over the set of instances maintained in secondary storage. We show that in DL-Lite the usual DL reasoning tasks are polynomial in the size of the… Expand
429 Citations
Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family
• Computer Science
• Journal of Automated Reasoning
• 2007
It is shown that, for the DLs of the DL-Lite family, the usual DL reasoning tasks are polynomial in the size of the TBox, and query answering is LogSpace in thesize of the ABox, which is the first result ofPolynomial-time data complexity for query answering over DL knowledge bases. Expand
Query Answering in Expressive Variants of DL-Lite
• Computer Science
• SEBD
• 2007
This paper proposes DL-Litebool, an extension of DL- lite with full Booleans and number restrictions, and study the complexity of reasoning in DL- Litebool and its significant sub-logics, and obtains results by a novel reduction to the one-variable fragment of firstorder logic. Expand
DL-Lite in the Light of First-Order Logic
• Computer Science
• AAAI
• 2007
This paper proposes DL-Litebool, an extension of DL- lite with full Booleans and number restrictions, and study the complexity of reasoning in DL- Litebool and its significant sub-logics, and obtains results by a novel reduction to the one-variable fragment of first-order logic. Expand
Characterizing Data Complexity for Conjunctive Query Answering in Expressive Description Logics
• Computer Science
• AAAI
• 2006
For a whole range of DLs from AL to SHIQ, answering CQs with no transitive roles has CONP-complete data complexity, established by a novel tableaux-based algorithm for checking query entailment. Expand
Temporal Conjunctive Query Answering in the Extended DL-Lite Family
• Computer Science
• ArXiv
• 2020
This work investigates temporal conjunctive queries (TCQs) that allow to access temporal data through classical ontologies and studies combined and data complexity of TCQ entailment for ontologies written in description logics from the extended DL-Lite family. Expand
Consistent Query Answering over Description Logic Ontologies
• Computer Science
• Description Logics
• 2007
This paper provides inconsistency tolerant semantics for DLs, and studies the computational complexity of consistent query answering over ontologies specified in DL-Lite, a family of DLs specifically tailored to deal with large amounts of data. Expand
Data Complexity of Query Answering in Description Logics
• Computer Science, Mathematics
• Description Logics
• 2005
The Description Logics of the DL-Lite family are the maximal logics allowing conjunctive query answering through standard database technology, and are the first description Logics specifically tailored for effective query answering over very large ABoxes. Expand
LTCS – Report On Implementing Temporal Query Answering in DL-Lite
• 2015
Ontology-based data access augments classical query answering over fact bases by adopting the open-world assumption and by including domain knowledge provided by an ontology. We implemented temporalExpand
On the Update of Description Logic Ontologies at the Instance Level
• Computer Science
• AAAI
• 2006
This work provides a general semantics for instance level update in Description Logics, and shows that DL-Lite is closed with respect to instancelevel update, in the sense that the result of an update is always expressible as a new DL- lite ABox. Expand
Data Complexity of Query Answering in Expressive Description Logics via Tableaux
• Computer Science
• Journal of Automated Reasoning
• 2008
It is established that, for a whole range of sublogics of $\mathcal{SHOIQ}$ that contain $\Mathcal{AL}$, answering such queries has coNP-complete data complexity, and a tight coNP upper bound for positive existential queries without transitive roles is proved. Expand

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