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Thesis

Ontology module extraction and applications to ontology classification

Abstract:

Module extraction is the task of computing a (preferably small) fragment M of an ontology O that preserves a class of entailments over a signature of interest ∑. Existing practical approaches ensure that M preserves all second-order entailments of O over ∑, which is a stronger condition than is required in many applications. In the first part of this thesis, we propose a novel approach to module extraction which, based on a reduction to a datalog reasoning probl...

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Research group:
Information Systems - Knowledge Representation and Reasoning
Oxford college:
Mansfield College
Role:
Author

Contributors

Division:
MPLS
Department:
Computer Science
Role:
Supervisor
Division:
MPLS
Department:
Computer Science
Role:
Supervisor
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Funding agency for:
Armas Romero, A
Grant:
EP/P505666/1
Publication date:
2015
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Subjects:
UUID:
uuid:4ec888f4-b7c0-4080-9d9a-3c46c91f67e3
Local pid:
ora:12492
Deposit date:
2016-06-09

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