(Q67206541)

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Take it Personally - A Python library for data enrichment for infometrical applications

scholarly article by Eva Seidlmayer published in January 2019

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scholarly article

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title

Take it Personally - A Python library for data enrichment for infometrical applications (English)

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1 reference

1

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Tetyana Melnychuk

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3

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Lukas Galke

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2

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Carsten Schultz

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4

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Klaus Tochtermann

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5

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Konrad Förstner

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6

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language of work or name

English

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publication date

2019

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number of pages

5

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full work available at URL

http://ceur-ws.org/Vol-2451/paper-23.pdf

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published in

Proceedings of the Posters and Demo Track of the 15th International Conference on Semantic Systems

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reference URL

https://2019.semantics.cc/programme?qt-programme=4#qt-programme

retrieved

10 September 2019

describes a project that uses

Python

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maintained by WikiProject

WikiProject Software

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cites work

Wikidata: A platform for data integration and dissemination for the life sciences and beyond

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7

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Scholia and scientometrics with Wikidata

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8

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(Q67206541)

Take it Personally - A Python library for data enrichment for infometrical applications

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