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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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Wikidata dump extension (enwiki section links)

Authors: Ostapuk, Natalia; Difallah, Djellel; Cudré-Mauroux, Philippe;

Wikidata dump extension (enwiki section links)

Abstract

The dataset contains mappings between Wikidata entities and Wikipedia sections. The mappings come in addition to the existing Wikidata sitelinks referencing Wikipedia pages. The creation of the present dataset stems from the observation that only a fraction of Wikidata entities has a corresponding Wikipedia article in any language (we refer to the remaining entities, without an article, as orphans). However, a substantial number of orphan entities are indeed available in Wikipedia, but not at the page level; orphan entities can be described within existing Wikipedia articles in the form of sections, subsections, and paragraphs of a more generic concept or fact. The dataset provides a fine-grained mapping between Wikidata orphan entities and Wikipedia (sub)-sections. Mappings are provided for English language. The dataset is available in JSON and RDF formats and complies with the Wikibase data model. In the JSON representation, an entity contains two fields: id (the unique identifier of an entity) and sectionlinks (links to Wikipedia sections). Each sectionlink record comprises a list of records1 with three fields: site, title, and url. A section title is appended to the page title separated with # symbol. Such a compound title is then URL-encoded and added to the URL path. Following the Wikidata guidelines, each entity is encoded as a single line. Example: { "id": "Q715509", "sectionlinks": { "enwiki": [ { "site": "enwiki", "title": "Places in Harry Potter#Azkaban", "url": "https://en.wikipedia.org/wiki/Places_in_Harry_Potter#Azkaban" } ], } } The RDF dump is serialized using the Turtle format and stores nodes describing Wikipedia links. Section titles are added in the same manner as described above. Example: <https://en.wikipedia.org/wiki/Places_in_Harry_Potter#Azkaban> a schema:Article ; schema:about wd:Q715509 ; schema:inLanguage "en" ; schema:isPartOf <https://en.wikipedia.org/> ; schema:name "Places in Harry Potter#Azkaban"@en . <https://en.wikipedia.org/> wikibase:wikiGroup "wikipedia" . 1 As opposed to sitelinks, where each entity can be mapped with a unique Wikipedia page (one-to-one mapping), in sectionlinks we allow a one-to-many mapping, i.e., an entity can be mapped to multiple sections. For example, Tennis racket concept can be mapped to Tennis#Rackets and Racket (sports equipment)#Tennis sections.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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