liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Design and use of ontologies in information-providing dialogue systems
Linköping University, Department of Computer and Information Science, NLPLAB - Natural Language Processing Laboratory. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-6997-3917
2004 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

In this thesis, the design and use of ontologies as domain knowledge sources in information-providing dialogue systems are investigated. The research is divided into two parts, theoretical investigations that have resulted in a requirements specifications on the design of ontologies to be used in information-providing dialogue systems, and empirical work on the development of a framework for use of ontologies in information-providing dialogue systems.

The framework includes three models: A model for ontology-based semantic analysis of questions. A model for ontology-based dialogue management, specifically focus management and clarifications. A model for ontology-based domain knowledge management, specifically transformation of user requests to system oriented concepts used for information retrieval.

In this thesis, it is shown that using ontologies to represent and reason on domain knowledge in dialogue systems has several advantages. A deeper semantic analysis is possible in several modules and a more natural and efficient dialogue can be achieved. Another important aspect is that it facilitates portability; to be able to reuse adapt the dialogue system to new tasks and domains, since the domain-specific knowledge is separated form generic features in the dialogue system architecture. Other advantages are that it reduces the complexity of linguistic produced in various domains.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2004. , 194 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 874
Keyword [en]
Computer programs, artificiell intelligens, ontology, information-providing dialogue systems, dialogue management, semantic
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-5007ISBN: 91-7373-947-2 (print)OAI: oai:DiVA.org:liu-5007DiVA: diva2:20907
Public defence
2004-05-19, Visionen, Hus B, Campus Valla, Linköpings universitet, Linköping, 13:15 (English)
Supervisors
Available from: 2004-06-16 Created: 2004-06-16 Last updated: 2016-12-19Bibliographically approved

Open Access in DiVA

fulltext(1402 kB)890 downloads
File information
File name FULLTEXT01.pdfFile size 1402 kBChecksum MD5
a1968488d95d36b6b1b326e965dc2c48644af46925521b7376e11c88e301ade8d1dfdbd2
Type fulltextMimetype application/pdf

Authority records BETA

Flycht-Eriksson (Silvervarg), Annika

Search in DiVA

By author/editor
Flycht-Eriksson (Silvervarg), Annika
By organisation
NLPLAB - Natural Language Processing LaboratoryThe Institute of Technology
Computer Science

Search outside of DiVA

GoogleGoogle Scholar
Total: 890 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 582 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf