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
Learning Composite Concepts
Linköping University, Department of Computer and Information Science, Database and information techniques. Linköping University, The Institute of Technology. (IDA/ADIT)ORCID iD: 0000-0002-9084-0470
Linköping University, Department of Computer and Information Science, Database and information techniques.
1998 (English)In: Proceedings of the International Workshop on Description Logics, 1998, 147-152 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper proposes a framework to learn concepts from different kinds of observations. We define a language to describe meta-concepts, that represent the sets of possible concepts that can be the result of learning given a set of observations. The kinds of observations that we have studied are subsumption, membership and part-of. We exemplify the framework by showing how composite concepts can be learned in a specific description logic and we show that previous machine learning approaches in description logics can be reformulated in our framework. 1 Introduction In [LM96] the problem of learning composite concepts was formulated in the framework of description logics. Description logics are restricted variants of firstorder logic providing a form of logical bias that dates back to semantic networks. Some recent work investigates concept learning in the context of description logics

Learning Composite Concepts.. Available from: http://www.researchgate.net/publication/220956947_Learning_Composite_Concepts [accessed Jul 1, 2015].

Place, publisher, year, edition, pages
1998. 147-152 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-119302OAI: oai:DiVA.org:liu-119302DiVA: diva2:820754
Conference
International Workshop on Description Logics
Available from: 2015-06-12 Created: 2015-06-12 Last updated: 2015-07-01

Open Access in DiVA

No full text

Other links

link

Search in DiVA

By author/editor
Lambrix, Patrick
By organisation
Database and information techniquesThe Institute of Technology
Computer Science

Search outside of DiVA

GoogleGoogle Scholar

Total: 23 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