Re: SPARQL Wishlist

... Continuing :

   - Ability to do "LOAD ... WHERE { }" queries, to crawl and aggregate
   external data referenced from the local graph
   - Ability to use Turtle-like syntax for language filtering : "WHERE {
   ?concept skos:prefLabel ?label@en }", to be interpreted like "WHERE {
   ?concept skos:prefLabel ?label. FILTER(?label = 'en')"
   - +1 on datatype and language-agnostic literal matchesc
   - As previously written, ability to control execution sequence of
   SERVICE clauses, in particular to allow scenarios like "go and fetch me the
   labels/latitude/longitude/whatever of these entities in this remote
   database", e.g. :

SELECT ?person ?countryLabel
WHERE {
  ?person ex:livesIn ?countryDBpedia .
  SERVICE <http://dbpedia.org/sparql> {
    ?countryDBPedia rdfs:label ?countryLabel
  }
}

   - Standardization of full-text operators


Thomas


Le lun. 1 avr. 2019 à 16:08, Franck Michel <franck.michel@cnrs.fr> a écrit :

> Hi all,
>
> Thx Jürgen for starting this thread. I'm continuing this wishlist
> discussion started on the internal-sparql-12 list:
>
> - +1 on the whole reification question which is very urgently needed. RDF*
> and SPARQL* are certainly to be considered first.
> - +1 on Jörn's proposition for datatype and language agnostic literal
> matches
> - formal definition of the SERVICE + VAR pattern semantics, which is only
> informative in SPARQL 1.1.(
> https://www.w3.org/TR/2013/REC-sparql11-federated-query-20130321/#variableService
> )
> - formal position about how to handle the dereferencing of a named graph
> URI: should this return a few triples describing the named graph? Or should
> this return the content of the named graph? I personally would opt for the
> second option.
> - related to the 2 previous points: enable querying dereferenceable RDF
> sources, not only other SPARQL endpoints. This could be an extension of the
> SERVICE clause semantics (see for instance SPARQL-LD [1]) or another
> clause. The idea is to leverage, from a SPARQL query, the content simply
> available on the web as dereferenceable RDF content for which no SPARQL
> endpoint is available.
>
> [1] Fafalios P., Yannakis T. & Tzitzikas Y. (2016). Querying the Web of
> Data with SPARQL-LD. In Research and Advanced Technology for Digital
> Libraries vol. 9819, Fuhr, N., Kovács, L., Risse, T. & Nejdl, W. (Eds.),
> pp. 175–187. Cham. Springer International Publishing.
>
> Franck.
>
> Le 01/04/2019 à 15:55, Jürgen Jakobitsch a écrit :
>
> hi there,
>
> as indicated by andy, we should carry on with this conversation on the
> public mailing list..
>
> i hereby restart the thread with my wishlist (i'm pretty sure there also
> will be wiki page or other means to collect suggestions in the near future)
> :-)
>
> 1. as a sucker of query optimization and the grand reducer of joins of
> whatever sort, i really, really would appreciate
>    execution sequence hints or at the very least FROM in subqueries and
> related a well defined sequence of what comes first: SERVICE or subselect.
> 2. as a sucker of "words are flowing out like endless rain" (beatles:
> across the universe) i fully support any forms of stream capabilities. rdf
> is just made
>     for streams, a query type a la STREAM ?x FROM <http..> WHERE { ...
> 3. sometimes also very little things are required: a sequence (per group
> or the whole result).. (this is for example possible with virtuoso)
> 4. vectorization on the fly would also be neat, we wanna do cool stuff
> like ML, cooccurences, linguistic statistics,... don't we?
> 5. "split"..
>    or in general "set creating" functions.. this is usually only possible
> with custom function these days, rdf4j for example requires usage of an
> extended evaluation strategy, stardog can do it with custom function,
>    as well as virtuoso with PL/SQL.. my preferred option would be "split
> by regex"
>
> mtfbwy j
>
> *Jürgen Jakobitsch*
> Senior Technical Consultant
> Semantic Web Company GmbH
> EU: +43-14021235 <+43%201%204021235>
> US: (415) 800-3776 <(415)%20800-3776>
> Mobile: +43-676-6212710 <+43%20676%206212710>
> https://www.poolparty.biz
> https://www.semantic-web.com
>
> *Download E-Book*: Introducing Semantic AI
> <https://www.poolparty.biz/machine-learning-meets-semantics/>
>
>
>

-- 

*Thomas Francart* -* SPARNA*
Web de *données* | Architecture de l'*information* | Accès aux
*connaissances*
blog : blog.sparna.fr, site : sparna.fr, linkedin :
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Received on Monday, 1 April 2019 14:39:49 UTC