The best way to start exploring the information provided by Lexvo.org is to head to the main page and start browsing using the example links provided there. By navigating from page to page, you can discover relationships between languages, words, geographical regions, and so on.
Another nice way to use Lexvo.org is via a term lookup bookmarklet. Simply add one or more of the following links as bookmarks to your browser toolbar.
To link your dataset to Lexvo.org, the first step is recognizing where your data refers to specific languages, words, characters, or other language-related entities. For example, you might want to state that a book is written in a particular language, or that a brand name has been trademarked by a particular company. To determine which URIs to use for these language-related entities, you have three options:
my:resource lvont:language lexvo:eng . my:resource lvont:language lexvo:fra .or
my:resource dcterms:language lexvo:eng . my:resource dcterms:language lexvo:fra .The advantage of this representation is that the languages are identified with unique URIs that are dereferenceable, so additional information is available about them. More information about the "dcterms:language" predicate can be found in the Dublin Core Metadata Initiative's user guide.
The API straightforwardly converts terms and language codes to Lexvo URIs. For example, simply call
Identifiers.getTermURI("hello", "eng") to obtain the URI for the English term "hello".Identifiers.getLanguageURIforISO639P1("fr") or
Identifiers.getLanguageURIforISO639P3("fra") to obtain the URI for the French language.
To actually work with the Lexvo data, you may want to download the RDF dump and use an RDF library like JENA or Redland to load it.
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