Abstract. In order to support web applications to understand the content of HTML pages an increasing number of websites have started to annotate structured data within their pages using markup formats such as Microdata, RDFa, Microformats. The annotations are used by Google, Yahoo!, Yandex, Bing and Facebook to enrich search results and to display entity descriptions within their applications. In this paper, we present a series of publicly accessible Microdata, RDFa, Microformats datasets that we have extracted from three large web corpora dating from 2010, 2012 and 2013.
More and more websites have started to embed structured data describing products, people, organizations, places, and events into their HTML pages using markup standards such as Microdata, JSON-LD, RDFa, and Microformats. The Web Data Commons project extracts this data from several billion web pages. So far the project provides 11 different data set releases extracted from the Common Crawls 2010 to 2022. The project provides the extracted data for download and publishes statistics about the deployment of the different formats.
Für viele Forscher und Statistiker gilt Jupyter Notebook als De-facto-Standard, wenn es um schnelles Prototyping und die explorative Datenanalyse geht. Außer auf Notebook wirft der Artikel aber auch einen Blick auf Jupyter Lab, das als nächste Generation von Notebooks in den Startlöchern steht.
We’re back, after a long and restful break, with a brand new season of Technically Human! In our first episode of the season, I am joined by a guest cohost, Dr. Morgan Ames, for a conversation with Janet Haven, Executive Director of Data and Society. We talk about the movement to root data and AI practices in human values, the future of automation, and the pressing needs—and challenges—of data governance.
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