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

Direct link
Cite
Citation style
  • apa
  • 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
A Bisimulation-based Method of Concept Learning for Knowledge Bases in Description Logics
Vietnam National University, Xuan Thuy, Hanoi.
Hue University, Nguyen Hue, Hue city, Vietnam .
University of Warsaw, Banacha, Poland .
University of Warsaw, Banacha, Poland .
Show others and affiliations
2012 (English)In: SoICT 2012 - 3rd International Symposium on Information and Communication Technology, ACM Press, 2012, p. 241-249Conference paper, Published paper (Refereed)
Abstract [en]

We develop the first bisimulation-based method of concept learning, called BBCL, for knowledge bases in description logics (DLs). Our method is formulated for a large class of useful DLs, with well-known DLs like ALC, SHIQ, SHOIQ, SROIQ. As bisimulation is the notion for characterizing indis-cernibility of objects in DLs, our method is natural and very promising.

Place, publisher, year, edition, pages
ACM Press, 2012. p. 241-249
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:liu:diva-80735DOI: 10.1145/2350716.2350753OAI: oai:DiVA.org:liu-80735DiVA, id: diva2:548019
Conference
SoICT 2012 - 3rd International Symposium on Information and Communication Technology, Ha Long Bay, Vietnam, August 23-24, 2012
Available from: 2012-08-29 Created: 2012-08-29 Last updated: 2018-01-12

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Szalas, Andrzej

Search in DiVA

By author/editor
Szalas, Andrzej
By organisation
Artificial Intelligence and Intergrated Computer systemsThe Institute of Technology
Computer and Information Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 182 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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