Polynomial-Time Reasoning Support for Design and Maintenance of Large-Scale Biomedical Ontologies

Description Logics (DLs) belong to a successful family of knowledge representation formalisms with two key assets: formally well-defined semantics which allows to represent knowledge in an unambiguous way and automated reasoning which allows to infer implicit knowledge from the one given explicitly....

Full description

Bibliographic Details
Main Author: Suntisrivaraporn, Boontawee
Other Authors: Technische Universität Dresden, Fakultät Informatik
Format: Doctoral Thesis
Language:English
Published: Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2009
Subjects:
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1233830966436-59282
http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1233830966436-59282
http://www.qucosa.de/fileadmin/data/qucosa/documents/205/1233830966436-5928.pdf
id ndltd-DRESDEN-oai-qucosa.de-bsz-14-ds-1233830966436-59282
record_format oai_dc
spelling ndltd-DRESDEN-oai-qucosa.de-bsz-14-ds-1233830966436-592822013-01-07T19:48:16Z Polynomial-Time Reasoning Support for Design and Maintenance of Large-Scale Biomedical Ontologies Suntisrivaraporn, Boontawee Description Logic Tractable reasoning Polynomial algorithms Biomedical ontologies Ontology design CEL reasoner DL systems Beschreibungslogik polynomielle Schlussfolgerung polynomielle Algorithmen biomedizinische Ontologien Ontologie-Entwurf CEL Reasoner Beschreibungslogik-Systeme ddc:004 rvk:ST 134 Description Logics (DLs) belong to a successful family of knowledge representation formalisms with two key assets: formally well-defined semantics which allows to represent knowledge in an unambiguous way and automated reasoning which allows to infer implicit knowledge from the one given explicitly. This thesis investigates various reasoning techniques for tractable DLs in the EL family which have been implemented in the CEL system. It suggests that the use of the lightweight DLs, in which reasoning is tractable, is beneficial for ontology design and maintenance both in terms of expressivity and scalability. The claim is supported by a case study on the renown medical ontology SNOMED CT and extensive empirical evaluation on several large-scale biomedical ontologies. Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden Technische Universität Dresden, Fakultät Informatik Prof. Dr.-Ing. Franz Baader Prof. Ian Horrocks Prof. Dr. rer. nat. habil. Ralf Möller 2009-02-05 doc-type:doctoralThesis application/pdf http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1233830966436-59282 urn:nbn:de:bsz:14-ds-1233830966436-59282 PPN303262990 http://www.qucosa.de/fileadmin/data/qucosa/documents/205/1233830966436-5928.pdf eng
collection NDLTD
language English
format Doctoral Thesis
sources NDLTD
topic Description Logic
Tractable reasoning
Polynomial algorithms
Biomedical ontologies
Ontology design
CEL reasoner
DL systems
Beschreibungslogik
polynomielle Schlussfolgerung
polynomielle Algorithmen
biomedizinische Ontologien
Ontologie-Entwurf
CEL Reasoner
Beschreibungslogik-Systeme
ddc:004
rvk:ST 134
spellingShingle Description Logic
Tractable reasoning
Polynomial algorithms
Biomedical ontologies
Ontology design
CEL reasoner
DL systems
Beschreibungslogik
polynomielle Schlussfolgerung
polynomielle Algorithmen
biomedizinische Ontologien
Ontologie-Entwurf
CEL Reasoner
Beschreibungslogik-Systeme
ddc:004
rvk:ST 134
Suntisrivaraporn, Boontawee
Polynomial-Time Reasoning Support for Design and Maintenance of Large-Scale Biomedical Ontologies
description Description Logics (DLs) belong to a successful family of knowledge representation formalisms with two key assets: formally well-defined semantics which allows to represent knowledge in an unambiguous way and automated reasoning which allows to infer implicit knowledge from the one given explicitly. This thesis investigates various reasoning techniques for tractable DLs in the EL family which have been implemented in the CEL system. It suggests that the use of the lightweight DLs, in which reasoning is tractable, is beneficial for ontology design and maintenance both in terms of expressivity and scalability. The claim is supported by a case study on the renown medical ontology SNOMED CT and extensive empirical evaluation on several large-scale biomedical ontologies.
author2 Technische Universität Dresden, Fakultät Informatik
author_facet Technische Universität Dresden, Fakultät Informatik
Suntisrivaraporn, Boontawee
author Suntisrivaraporn, Boontawee
author_sort Suntisrivaraporn, Boontawee
title Polynomial-Time Reasoning Support for Design and Maintenance of Large-Scale Biomedical Ontologies
title_short Polynomial-Time Reasoning Support for Design and Maintenance of Large-Scale Biomedical Ontologies
title_full Polynomial-Time Reasoning Support for Design and Maintenance of Large-Scale Biomedical Ontologies
title_fullStr Polynomial-Time Reasoning Support for Design and Maintenance of Large-Scale Biomedical Ontologies
title_full_unstemmed Polynomial-Time Reasoning Support for Design and Maintenance of Large-Scale Biomedical Ontologies
title_sort polynomial-time reasoning support for design and maintenance of large-scale biomedical ontologies
publisher Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden
publishDate 2009
url http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1233830966436-59282
http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1233830966436-59282
http://www.qucosa.de/fileadmin/data/qucosa/documents/205/1233830966436-5928.pdf
work_keys_str_mv AT suntisrivarapornboontawee polynomialtimereasoningsupportfordesignandmaintenanceoflargescalebiomedicalontologies
_version_ 1716470629779111936