Wikidata
and
Querying Wikidata with SPARQL
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Wikidata and Querying Wikidata with SPARQL Semantic Technologies - - PowerPoint PPT Presentation
Wikidata and Querying Wikidata with SPARQL Semantic Technologies 5.1 1 What are the ten largest cities with a female mayor? Semantic Technologies 5.1 2 Where are people born who travel to space? (colour-coded by gender) Semantic
and
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(colour-coded by gender)
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Wikidata
(October 2018: >570M statements on >50M entities)
(October 2018: >230,000 logged-in human editors)
Freely available, relevant, and active knowledge graph
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Links” at the 1st Wikimedia Conference “Wikimania”, Frankfurt, Germany
Wikidata
statements
(= expressions in a language)
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As of today, Wikidata content has been used in many ways. Wikipedia & the Wikimedia community:
result tables, . . . )
External re-uses of data:
(e.g., Google checks own KG against Wikidata)
, Open Streetmaps, DBLP , . . . link their content to Wikidata)
information portals)
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As of today, Wikidata content has been used in many ways. In research:
Uses by Wikidata community:
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Wikidata is often described as “the free knowledge base that anyone can edit”
It is useful to distinguish several of these aspects: Wikidata is . . .
represented and supported by the Wikimedia Foundation (WMF)
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The website and its main data services expose Wikidata as a document- centric knowledge base:
(one page per entity)
ferent sections
served and shown Useful for display & management Conceptually and for most applica- tions, Wikidata is a graph-structured knowledge base:
ships (from entities to entities/data values)
are first-class
with a global scope and definition
Useful for sharing and re-use We will mostly view Wikidata as a knowledge graph
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https://towardsdatascience.com/a-brief-introduction-to-wikidata-bb4e66395eb1
https://www.wikidata.org/wiki/Wikidata:SPARQL_tutorial
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