"the free knowledge base with 20,092,751 data items that anyone can edit"
We need a Wikipedia for data - Bret Taylor's blog (2008)
A Semantic view of the Wikipedia for Data idea | ZDNet (2008)
Where to Find Open Data on the Web - ReadWrite (2008)
Quandl: A Wikipedia for Time Series Data (2013)
"www.quandl.com as sort of "search engine" for numerical data. The idea with Quandl is that you can find data fast. And more importantly, once you find it, it is ready to use. This is because Quandl's bot returns data in a totally standard format. Which means we can then translate to any format a user wants."
Data Dumps | Freebase API (Deprecated) | Google Developers (purchased by Google)
"This dataset contains every fact currently in Freebase.
Total triples: 1.9 billion
Data Format: N-Triples RDF
License: CC-BY
22 GB gzip
250 GB uncompressed"
"Metaweb was acquired by Google in a private sale announced 16 July 2010.[3] Google's Knowledge Graph was powered in part by Freebase.[4]
On 16 December 2014, Knowledge Graph announced that it would shut down Freebase over the succeeding six months and help with the move of the data from Freebase to Wikidata.[5]
On 16 December 2015, Google officially announced the Knowledge Graph API, which is meant to be a replacement to the Freebase API. Freebase.com was officially shut down on 2 May 2016.[6]"
(4) What is the difference between Wikidata and DBpedia? - Quora
- "Direction of information flow - DBpedia extracts information from Wikipedia,
Wikidata provides it to Wikipedia. - Structure - DBpedia does it's best to apply structure to textual information from Wikipedia, while Wikidata information is structured natively to start
- Maturity - DBpedia is older, Wikidata is just getting started
- Notability - DBpedia inherits Wikipedia's white, western, male sense of "notablity" while Wikidata has no notability rules (yet — and Wikipedias can choose not to include Wikidata information that they don't think qualifies as "notable")"
Linked data - Wikipedia, the free encyclopedia
"In computing, linked data (often capitalized as Linked Data) is a method of publishing structured data so that it can be interlinked and become more useful throughsemantic queries. It builds upon standard Web technologies such as HTTP, RDF and URIs, but rather than using them to serve web pages for human readers, it extends them to share information in a way that can be read automatically by computers. This enables data from different sources to be connected and queried.[1]
Tim Berners-Lee, director of the World Wide Web Consortium (W3C), coined the term in a 2006 design note about the Semantic Web project.[2]"
Tim Berners-Lee: The year open data went worldwide | TED Talk | TED.com
"In computing, linked data (often capitalized as Linked Data) is a method of publishing structured data so that it can be interlinked and become more useful throughsemantic queries. It builds upon standard Web technologies such as HTTP, RDF and URIs, but rather than using them to serve web pages for human readers, it extends them to share information in a way that can be read automatically by computers. This enables data from different sources to be connected and queried.[1]
Tim Berners-Lee, director of the World Wide Web Consortium (W3C), coined the term in a 2006 design note about the Semantic Web project.[2]"
Tim Berners-Lee: The year open data went worldwide | TED Talk | TED.com
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