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Thesis

Conjunctive query answering over unrestricted OWL 2 ontologies

Abstract:

Conjunctive query (CQ) answering is one of the primary reasoning tasks over knowledge bases (KBs). However, when considering expressive description logics (DLs), query answering can be computationally very expensive; reasoners for CQ answering, although heavily optimized, often sacrifice expressive power of the input ontology or completeness of the computed answers in order to achieve tractability and scalability for the problem. In this work, we present a hybrid query answering architecture ...

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Sub department:
Computer Science
Research group:
Knowledge Representation and Reasoning
Oxford college:
Linacre College
Role:
Author
ORCID:
0000-0002-2790-7513

Contributors

Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Sub department:
Computer Science
Research group:
Knowledge Representation and Reasoning
Role:
Supervisor
ORCID:
0000-0001-6993-0618
Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Sub department:
Computer Science
Research group:
Knowledge Representation and Reasoning
Role:
Supervisor
ORCID:
0000-0002-2685-7462
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
DOI:

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