There are a few ways to find “QID” for any Wikidata item: The name of the Wikipedia article is case sensitive therefore, use uppercase if you search for acronyms, such as NASA, IBM, etc.Īnother option to get facts is using the Wikidata item’s “QID”, a unique identificator for each item. Returns Wikidata facts for a Wikipedia article. Unfortunately, all the formulas return only the first 500 values based on alphabetical order. The opportunities are endless and only limited by your creativity, so I’ll mention only some functions in which I see the biggest potential for SEO and marketing. The functions are written in JavaScript and extract data via three APIs:Ī paper with use case descriptions was published by Thomas Steiner, a solutions engineer at Google, on February 8th, 2016. This add-on extends Google Sheets with 21 new custom functions through Google Apps Scripts. Note: Google Knowledge graph was powered, in part, by Freebase, but in 2015, the data from Freebase was migrated to Wikidata. It’s a collection of structured data that may be used by other projects.
#Wikidata graph builder example free#
Wikidata is a free knowledge database that stores data in a machine-friendly format. This add-on allows you to extract data, not only from Wikipedia, but also from Wikidata. The entire Wikipedia database can be downloaded via Wikipedia dumps in SQL and XML. Uncompressed size was 10 TB.īy March 6th, 2017, 5,350,828 English articles are managed by 1,269 administrators and 30,381,154 users. The data size of all pages with complete edit history in XML format and compressed was about 100 GB in June 2015. Wikipedia’s organic traffic according to SEMrush for desktop How Much Data Does Wikipedia Store? However, it seems like the trend has changed and the visibility grew again. In summer 2015, there were reports about a decline in organic traffic, later confirmed by Jimmy Wales, the co-founder of Wikipedia, as a long-term issue, rather than a sudden drop. Just reading articles give you a sense of language and vocabulary that your targeted audience uses. Editors use natural language and are interested in areas they contribute to. The best thing is it’s created by humans to humans. If you’re creating keyword research or looking for new content ideas, Wikipedia is there to help you and reveal additional insights to your targeted niche. That list can reveal topics you would never think relate to your area of interest and that can fuel your content strategy. Wikipedia can give you a large list of related topics. Google AdWords Keyword Planner suggests keywords with the commercial or transactional intent, unless you dig deep and use highly specific keywords in the input.
#Wikidata graph builder example download#
Just extract Wikipedia data via Google Spreadsheets, download all the data from the sheet to your laptop, and open it in Excel or LibreOffice. There may be reasons not to work with Google Sheets, and that’s ok. Download Wikipedia and Wikidata Tools Add-on.This handy add-on gives you the power to mine Wikipedia and Wikidata. With this post, you are a few clicks away from creating a simple data mining tool. Wikipedia is a trusted source of information that ranks for the majority of two-word search queries, so looking at its data can reveal trends and popularity.
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