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Ontology alignment for classification of low level sensor data
Örebro University, School of Science and Technology. (AASS)
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-3122-693X
2012 (English)Conference paper, Oral presentation only (Refereed)
Place, publisher, year, edition, pages
2012.
National Category
Engineering and Technology Computer Science
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-26254OAI: oai:DiVA.org:oru-26254DiVA: diva2:561176
Conference
Knowledge Engineering and Ontology Development
Funder
Swedish Research Council
Available from: 2012-10-17 Created: 2012-10-17 Last updated: 2017-10-17Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • 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