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(Also) parsing structured data while you're at it #1

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westurner opened this issue Feb 28, 2019 · 1 comment

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westurner commented Feb 28, 2019 •

edited

One might as well extract structured data from each element of such a dataset.

Linked data.
https://5stardata.info/

Useful features:

Relations to e.g. https://schema.org/Dataset (s)
Reified edges to other https://schema.org/ScholarlyArticle (s) indicating whether A seems to confirm or disprove B
URIs for columns in CSV and CSVW datasets
- https://www.w3.org/TR/tabular-data-primer/ (CSVW)

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westurner commented Feb 28, 2019

https://github.com/scrapinghub/extruct

extruct is a library for extracting embedded metadata from HTML markup.

It also has a built-in HTTP server to test its output as JSON.

Currently, extruct supports:

W3C's HTML Microdata

embedded JSON-LD

Microformat via mf2py

Facebook's Open Graph

(experimental) RDFa via rdflib

westurner mentioned this issue

(Also) parsing structured data while you're at it jcpeterson/openwebtext#2

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chiphuyen added the help wanted label

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