Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Ontology-based relevance assessment: An evaluation of different semantic similarity measures
Jönköping University, School of Engineering, JTH. Research area Information Engineering. (Information Engineering)
Jönköping University, School of Engineering, JTH. Research area Information Engineering. (Information Engineering)
2008 (English)In: Proceedings of OTM 2008 - OTM Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008, Berlin: Springer , 2008, 1235-1252 p.Conference paper, Published paper (Refereed)
Abstract [en]

Ontology-based relevance assessment of documents is an importanttask. When viewing this in a business context, approaches arecommonly based on the use of one ontology describing the enterprise. Amore specific problem is then how to assess the relevance of a set of ontologyconcepts with respect to a user profile expressed within the sameontology. Semantic similarity measures have been widely used and describedin literature, but few experiments have been performed to showthe benefits and drawbacks of certain measures. In this paper we describehow a set of measures have been combined, tested, and evaluated. Theevaluation was performed through a rank correlation coefficient comparingthe measured results with a manually constructed “gold standard”.Conclusions are that certain combinations of measures seem less suitablefor solving this type of problem. On the other hand a set of combinationsperform quite well, although the detailed performance of most combinedmeasures seem to depend heavily on the structure of the ontology used.

Place, publisher, year, edition, pages
Berlin: Springer , 2008. 1235-1252 p.
Series
Lecture Notes In Computer Science, ISSN 1611-3349 ; 5332
Keyword
Ontology
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:hj:diva-6864DOI: 10.1007/978-3-540-88873-4ISBN: 978-3-540-88872-7 (print)OAI: oai:DiVA.org:hj-6864DiVA: diva2:127193
Available from: 2008-12-02 Created: 2008-12-02 Last updated: 2008-12-19Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Ricklefs, MichaelBlomqvist, Eva
By organisation
JTH. Research area Information Engineering
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 207 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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