37 Matching Annotations
  1. May 2019
  2. Apr 2019
    1. Seized with the desire to improve the visibility of Canadian music in the world, a ragtag band of librarians led by Stacy Allison-Cassin set out to host Wikipedia edit-a-thons in the style of Art+Feminism, but with a focus on addressing Canadian music instead. Along the way, they recognized that Wikidata offered a low-barrier, high-result method of making that data not only visible but reusable as linked open data, and consequently incorporated Wikidata into their edit-a-thons. This is their story.

  3. Mar 2019
  4. Feb 2019
  5. Nov 2018
    1. Now you know how to search for all works of art, or all buildings, or all human settlements: the magic incantation wdt:P31/wdt:P279*, along with the appropriate class. This uses some more SPARQL features that I haven’t explained yet, but quite honestly, this is almost the only relevant use of those features, so you don’t need to understand how it works in order to use WDQS effectively. If you want to know, I’ll explain it in a bit, but you can also just skip the next section and memorize or copy+paste wdt:P31/wdt:P279* from here when you need it.

      wdt:P31/wdt:P279* = magic incantation for Wikidata SPARQL to mean "instance of or subclass of"

    1. Wikidatahas still a lower normative burden of rules and policies than Wikipedia

      Hopefully this will not change too fast!

    2. For the second, we could try to detect inconsistencies, eitherby inspecting samples of the class hierarchy

      Yes, that's what I do when doing quality work on the taxonomy (with the tool wdtaxonomy)

    3. these are not the only reason behindthe trends observed. An examination of the peaks

      See http://wikicite.org/statistics.html for similar phases and events better analysed by history instead of calculations.

    4. Wikidata quality assessment

      I guess the the average values are spoiled by outliers. A look at distribution would be interesting instead of average and median value only.

    5. Ontology depth

      I'm curious about the depth distribution to compare my findings on other classification systems, including Wikipedia categories: https://arxiv.org/abs/cs/0604036

    6. Possible relations between Items

      This only includes properties of data-type item?! It should be made more clear because the majority of Wikidata classes has other data types.

    7. sed in the present analysis

      I'd add number of classes with connected Wikipedia articles because these provide definition and context

    8. and as such not connected to editing activities

      Other aspects of Wikidata ontology quality can also be connected to editing activities but this cannot be measure from the Wikidata data dumps. It would need to take into account external data such as applications that make use of Wikidata (Histropedia, Wikipedia instances...)

    9. A KG typically spans across several domains and is built on topof a conceptual schema, orontology, which defines what types of entities (classes) are allowed inthe graph, alongside the types ofpropertiesthey can have

      Wikidata differs from typical KG as it is not build on top of classes (entity types). Any item (entity) can be connected by any property. Wikidata's only strict "classes" in the sense of KG classes are its data types (item, lemma, monolingual string...).



  6. Oct 2018
  7. Aug 2018
    1. Collaboration started during April, 2018.

      Inception date for the Joint Roadmap for Open Science Tools.

  8. May 2018
  9. Apr 2018
    1. These findings show that WDR60 mutations can cause skeletal ciliopathies and suggest a role for WDR60 in ciliogenesis.

      This is referenced in the Wikidata entry about WDR60 at https://www.wikidata.org/w/index.php?title=Q21124736&oldid=619612847#P682 , which states that WDR60 (Q21124736) is involved in the biological process (P682) of embryonic skeletal system morphogenesis (Q14886895).

  10. Aug 2017
    1. Adjusted Reelin-positive cell densities were also reduced in CA4 areas of subjects with bipolar disorder (ANOVA, P < 0.001)

      Cells immunopositive for reelin are reduced in CA4 hippocampal subfield

    2. Significant reductions were observed in Reelin-positive adjusted cell densities in the dentate molecular layer (ANOVA, P < 0.001), CA4 area (ANOVA, P < 0.001), total hippocampal area (ANOVA, P < 0.038) and in Reelin-positive cell counts in CA4 (ANOVA, P < 0.042) of schizophrenics vs controls.

      Cells immunopositive for reelin are reduced in several hippocampal subfields

  11. May 2016
  12. Apr 2016
    1. Centralizing content and distributing labor: a community model for curating the very long tail of microbial genomes.

      This is going to be a good talk. Get your coffee, open your eyes, and open your mind! A pattern that could actually scale up - worth a try! Disagree? reply here.

    2. TextpressoCentral

      Could this be used as a front end to adding content to wikidata ?

    1. Below you will find a pretty thorough listing of helpful links for understanding wikidata. Please extend, its openly editable.

  13. Feb 2016
    1. Wikidata, in some sense, turns DBpedia around, in that Wikidata is intended to be a data source to populate Wikipedia infoboxes than the other way around.