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Multilingual Ontology Matching based on Wiktionary Data Accessible via SPARQL Endpoint
Abstract Interoperability is a feature required by 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.ith results based on Google Translate API.
Abstractsub Interoperability is a feature required by 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.ith results based on Google Translate API.
Arxiv 1109.0732  +
Bibtextype inproceedings  +
Has author Feiyu Lin + , Andrew Krizhanovsky +
Has extra keyword Wiktionary +
Has reference Automatic pronunciation dictionary generation from wiktionary and wikipedia + , The comparison of wiktionary thesauri transformed into the machine-readable format + , Transformation of wiktionary entry structure into tables and relations in a relational database schema + , Zawilinski: a library for studying grammar in Wiktionary + , Semantic search on heterogeneous Wiki systems +
Has remote mirror http://arxiv.org/abs/1109.0732  +
Has webcitation mirror 67ZTZrMhU  +
Language English +
Number of citations by publication 0  +
Number of references by publication 5  +
Pages 19-26  +
Peer-reviewed Yes  +
Published in Proceedings of the 13th Russian Conference on Digital Libraries RCDL’2011 +
Related tool Wikokit +
Title Multilingual Ontology Matching based on Wiktionary Data Accessible via SPARQL Endpoint +
Type conference paper  +
Year 2011 +
Creation dateThis property is a special property in this wiki. 1 February 2012 12:20:46  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without DOI parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications  +
Modification dateThis property is a special property in this wiki. 11 May 2012 03:35:30  +
DateThis property is a special property in this wiki. 2011  +
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Multilingual Ontology Matching based on Wiktionary Data Accessible via SPARQL Endpoint + Title
 

 

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