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@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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