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
Multilingual ontology matching based on Wiktionary data accessible via SPARQL Endpoint
Jönköping University, School of Engineering, JTH, Computer and Electrical Engineering. Jönköping University, School of Engineering, JTH. Research area Information Engineering.
Institution of the Russian Academy of Sciences St.Petersburg Institute for Informatics and Automation RAS.
2011 (English)In: Proceedings of the 13th Russian Conference on Digital Libraries RCDL’2011, 2011, 19-26 p.Conference paper, Published paper (Refereed)
Abstract [en]

Interoperability is a feature required by the Semantic Web. It is provided by the ontology matching methods and algorithms. But now ontologies are presented not only in English, but in other languages as well. It is important to use an automatic translation for obtaining correct matching pairs in multilingual ontology matching. The translation into many languages could be based on the Google Translate API, the Wiktionary database, etc. From the point of view of the balance of presence of many languages, of manually crafted translations, of a huge size of a dictionary, the most promising resource is the Wiktionary. It is a collaborative project working on the same principles as the Wikipedia. The parser of the Wiktionary was developed and the machine-readable dictionary was designed. The data of the machine-readable Wiktionary are stored in a relational database, but with the help of D2R server the database is presented as an RDF store. Thus, it is possible to get lexicographic information (definitions, translations, synonyms) from web service using SPARQL requests. In the case study, the problem entity is a task of multilingual ontology matching based on Wiktionary data accessible via SPARQL endpoint. Ontology matching results obtained using Wiktionary were compared with results based on Google Translate API.

Place, publisher, year, edition, pages
2011. 19-26 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hj:diva-16784OAI: oai:DiVA.org:hj-16784DiVA: diva2:459118
Conference
The 13th Russian Conference on Digital Libraries RCDL’2011
Available from: 2011-11-24 Created: 2011-11-24 Last updated: 2011-12-14Bibliographically approved

Open Access in DiVA

No full text

Other links

http://ceur-ws.org/Vol-803/paper1.pdf

Search in DiVA

By author/editor
Feiyu, Lin
By organisation
JTH, Computer and Electrical EngineeringJTH. Research area Information Engineering
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar

Total: 173 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