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SVM-based algorithms for aligning ontologies using literature
Linköping University, Department of Computer and Information Science.
2008 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Ontologies is one of the key techniques used in Semantic Web establishment. Nowadays,many ontologies have been developed and it is critical to understand the relationships between the terms of the ontologies, i.e. we need to align the ontologies.

This thesis deals with an approach for finding relationships between ontologies using literature by classifying documents related to terms in the ontologies.

 

In this project the general method from [1] is used, but in the classifier generation part, a brand new classifier based on SVMs algorithm is implemented by LPU and SVMlight. We evaluate our approach and compare it to previous approaches.

Place, publisher, year, edition, pages
2008. , 39 p.
Keyword [en]
ontology alignment, text classifier, SVM, LPU, SVM-light
National Category
Computer Science
Identifiers
URN: urn:nbn:se:liu:diva-15974ISRN: LIU-IDA/LITH-EX-A--08/058--SEOAI: oai:DiVA.org:liu-15974DiVA: diva2:132566
Subject / course
Computer and information science at the Institute of Technology
Presentation
2008-12-15, al-Khwarizmi, B-hus, 10:15 (English)
Uppsok
Technology
Supervisors
Examiners
Available from: 2008-12-22 Created: 2008-12-19 Last updated: 2012-04-24Bibliographically approved

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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