In addition to Web-based user interfaces for content
editing, machine
lexicons could support bulk API’s including those based on XML-RPC
and
SPARUL.
It is what it is planned for Wikidata lexemes. There is already a REST API.
Example:
https://www.wikidata.org/wiki/Special:EntityData/L42.json
We are currently working on an RDF output of the lexemes content using
Lemon/Ontolex [1]. It is planned to import this RDF representation into
https://query.wikidata.org in order to be able to execute SPARQL queries on
it.
Cheers,
Thomas
[1]
https://mediawiki.org/wiki/Extension:WikibaseLexeme/RDF_mapping
Le jeu. 31 mai 2018 à 05:22, Adam Sobieski <adamsobieski(a)hotmail.com> a
écrit :
> Micru,
> Finn,
>
> Thank you for the hyperlinks to the pertinent projects.
>
> I’m thinking that machine lexicon services could include URL-addressible:
> (1) headwords and lemmas, (2) conjugations and declensions, and (3)
> specific senses or definitions. Each conjugation or declension could have
> its own URL-addressable definitions. Machine-utilizable definitions are
> envisioned as existing in a number of machine-utilizable knowledge
> representation formats.
>
In addition to Web-based user interfaces for content
editing, machine
> lexicons could support bulk API’s including those based on
XML-RPC and
> SPARUL. With regard to the use of SPARQL and SPARUL, there may already
> exist a suitable ontology. Some lexical ontologies include: Lemon (
>
https://www.w3.org/2016/05/ontolex/), LexInfo (
http://www.lexinfo.net/),
> LIR (
http://mayor2.dia.fi.upm.es/oeg-upm/index.php/en/technologies/63-lir/),
> LMM (
http://ontologydesignpatterns.org/wiki/Ontology:LMM), semiotics.owl (
>
http://www.ontologydesignpatterns.org/cp/owl/semiotics.owl), and Senso
> Comune (
http://www.sensocomune.it/). It should be possible to extend
> existing ontologies to include machine-utilizable definitions in a number
> of knowledge representation formats.
>
> I’m thinking about topics in knowledge representation with regard to the
> formal semantics of nouns, verbs, adjectives, adverbs, pronouns,
> prepositions and conjunctions and about how automated reasoners could make
> use of machine-utilizable definitions to obtain and compare semantic
> interpretations as software systems parse natural language.
>
>
> Best regards,
> Adam
>
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