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....
Main Author: | |
---|---|
Other Authors: | |
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 |