Scholia (Wikidata)

Apresentação 

http://mirror.netcologne.de/CCC/events/wikidatacon/2017/h264-hd/wikidatacon2017-10010-eng-Scholia_hd.mp4

BlazeGraph RDF GAS API - visualizar o grafo

Aspects em determinados temas como Software (P2283)

Arvix-to-quickstatements .... Fazer um Latex to quick-statements online?

Zotero: In the other direction, with the additional QuickStatements translator from zotkat you can export metadata in a format understood by QuickStatements, enabling you to more easily create Wikidata items about the works already in your Zotero library. 

https://www.zotero.org/support/kb/zotero_and_wikipedia

Zotero's Quick Copy feature makes it easy to export Zotero items to Wikipedia. Open the Export pane of Zotero preferences and select “Wikipedia Citation Templates” as the Default Format. Then, you can drag and drop items from your library to the Wikipedia to insert properly formatted citations. You can also copy Wikipedia Citation Templates data to your clipboad by pressing Ctrl/Cmd-Shift-C. 

Scholia, Scientometrics and Wikidata

Wikidata data can be reified to triples [5,9], and RDF/graph-oriented databases, including SPARQL databases,can represent Wikidata data [10].

The Wikidata Query Service (WDQS) is an extended SPARQL endpoint that exposes the Wikidata data. Apart from offeringa SPARQL endpoint, it also features an editor and a variety of frontend result display options. It may render the SPARQL query result as, e.g., bubble charts, line charts, graphs, timelines, list of images, points on a geographical map, or just provide the result as a table. These results can also be embedded on other Web pages via an HTML iframe element. We note that Wikidata is open data published under the Public Domain Dedication and Waiver (CC0), and that it is available not only through the SPARQL endpoint, but also as Linked Data Fragments and — like any other project of the Wikimedia family — through an API and dump files.

Scholia  provides  both  a  Python  package  and  a  Web  service  for  presenting and interacting with scientific information from Wikidata.

Scholia uses the Flask Python Web framework.
 
The  frontend  consists  mostly  of  HTMLiframe  elements  for  embedding  the  on-the-fly-generated WDQS results and uses many of the different output formats from this service: bubble charts, bar charts, line charts, graphs and image lists.

For the organization aspect, Scholia uses the employer and affiliated Wiki-data properties to identify associated authors, and combines this with the author query for works. Scholia formulates SPARQL queries with property paths to identify suborganizations of the queried organization, such that authors affiliated with a suborganization are associated with the queried organization.

In the current version, Scholia even ignores any temporal qualifier for the affiliation and employer property, meaning that a researcher moving between several organization gets his/her articles counted under multiple organizations

The initial idea for Scholia was to create a researcher profile based on Wikidata data with list of publications, picture and CV-like information.

The collaborative nature of Wikidata means that Wikidata users can create items for authors that do not have an account on Wikidata. In most other systems, the researcher as a user of the system has control over his/her scholarly profile and other researchers/users cannot make amendment or corrections. Likewise, when one user changes an existing item, this change will be reflected in subsequent live queries of that item, and it may still be in future dumps if not reverted or otherwise modified before the dump creation

(3) (PDF) Scholia, Scientometrics and Wikidata. Available from: https://www.researchgate.net/publication/320899331_Scholia_Scientometrics_and_Wikidata [accessed May 12 2021].

The inspiration came from a blog post by Lambert Heller:What will the scholarly profilepage of the future look like? Provision of metadata is enabling experimentation.

https://blogs.lse.ac.uk/impactofsocialsciences/2015/07/16/scholarly-profile-of-the-future/