  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.
