Thomas,
Thank you for the exciting information with regard to the future of Wikidata lexemes. With
bulk upload and update capabilities, we might anticipate alignments and uploads from
projects on the scales of FrameNet, PropBank, VerbNet and WordNet.
With regard to crowdsourced lexicons containing machine-utilizable definitions, we can
consider a feature where, as software using the API’s for definitions find that there
aren’t yet definitions for particular lexemes, counters can be accumulated such that
users can observe which lexemes’ definitions are in popular demand. This could be a means
of prioritizing which lexemes to rigorously define.
We might envision natural language understanding, including semantic interpretation, of
children’s books in upcoming years.
Best regards,
Adam
________________________________
From: Wiki-research-l <wiki-research-l-bounces(a)lists.wikimedia.org> on behalf of
Thomas Pellissier Tanon <thomas(a)pellissier-tanon.fr>
Sent: Thursday, May 31, 2018 6:25:56 AM
To: Research into Wikimedia content and communities
Subject: Re: [Wiki-research-l] Machine-utilizable Crowdsourced Lexicons
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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