Scholia, Scientometrics and Wikidata

Finn Årup Nielsen; Daniel Mietchen; Egon Willighagen

doi:10.1007/978-3-319-70407-4_36

Scholia, Scientometrics and Wikidata

Finn Årup Nielsen^*, Daniel Mietchen, Egon Willighagen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Abstract

Scholia is a tool to handle scientific bibliographic information through Wikidata. The Scholia Web service creates on-the-fly scholarly profiles for researchers, organizations, journals, publishers, individual scholarly works, and for research topics. To collect the data, it queries the SPARQL-based Wikidata Query Service. Among several display formats available in Scholia are lists of publications for individual researchers and organizations, plots of publications per year, employment timelines, as well as co-author and topic networks and citation graphs. The Python package implementing the Web service is also able to format Wikidata bibliographic entries for use in LaTeX/BIBTeX. Apart from detailing Scholia, we describe how Wikidata has been used for bibliographic information and we also provide some scientometric statistics on this information.

Original language	English
Title of host publication	The Semantic Web:
Subtitle of host publication	ESWC 2017 Satellite Events
Editors	Eva Blomqvist, Katja Hose, Heiko Paulheim
Chapter	36
Pages	237-259
Number of pages	23
Edition	1
ISBN (Electronic)	978-3-319-70407-4
DOIs	https://doi.org/10.1007/978-3-319-70407-4_36
Publication status	Published - 8 Nov 2017

Publication series

Series	Lecture Notes in Computer Science
Volume	10577
ISSN	0302-9743

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Cite this

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title = "Scholia, Scientometrics and Wikidata",

abstract = "Scholia is a tool to handle scientific bibliographic information through Wikidata. The Scholia Web service creates on-the-fly scholarly profiles for researchers, organizations, journals, publishers, individual scholarly works, and for research topics. To collect the data, it queries the SPARQL-based Wikidata Query Service. Among several display formats available in Scholia are lists of publications for individual researchers and organizations, plots of publications per year, employment timelines, as well as co-author and topic networks and citation graphs. The Python package implementing the Web service is also able to format Wikidata bibliographic entries for use in LaTeX/BIBTeX. Apart from detailing Scholia, we describe how Wikidata has been used for bibliographic information and we also provide some scientometric statistics on this information.",

author = "Nielsen, {Finn {\AA}rup} and Daniel Mietchen and Egon Willighagen",

year = "2017",

month = nov,

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doi = "10.1007/978-3-319-70407-4_36",

language = "English",

isbn = "978-3-319-70406-7",

series = "Lecture Notes in Computer Science",

publisher = "Springer Nature Switzerland AG",

pages = "237--259",

editor = "Eva Blomqvist and Katja Hose and Heiko Paulheim",

booktitle = "The Semantic Web:",

edition = "1",

}

Scholia, Scientometrics and Wikidata. / Nielsen, Finn Årup; Mietchen, Daniel; Willighagen, Egon.
The Semantic Web: ESWC 2017 Satellite Events. ed. / Eva Blomqvist; Katja Hose; Heiko Paulheim. 1. ed. 2017. p. 237-259 (Lecture Notes in Computer Science, Vol. 10577).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

TY - GEN

T1 - Scholia, Scientometrics and Wikidata

AU - Nielsen, Finn Årup

AU - Mietchen, Daniel

AU - Willighagen, Egon

PY - 2017/11/8

Y1 - 2017/11/8

N2 - Scholia is a tool to handle scientific bibliographic information through Wikidata. The Scholia Web service creates on-the-fly scholarly profiles for researchers, organizations, journals, publishers, individual scholarly works, and for research topics. To collect the data, it queries the SPARQL-based Wikidata Query Service. Among several display formats available in Scholia are lists of publications for individual researchers and organizations, plots of publications per year, employment timelines, as well as co-author and topic networks and citation graphs. The Python package implementing the Web service is also able to format Wikidata bibliographic entries for use in LaTeX/BIBTeX. Apart from detailing Scholia, we describe how Wikidata has been used for bibliographic information and we also provide some scientometric statistics on this information.

AB - Scholia is a tool to handle scientific bibliographic information through Wikidata. The Scholia Web service creates on-the-fly scholarly profiles for researchers, organizations, journals, publishers, individual scholarly works, and for research topics. To collect the data, it queries the SPARQL-based Wikidata Query Service. Among several display formats available in Scholia are lists of publications for individual researchers and organizations, plots of publications per year, employment timelines, as well as co-author and topic networks and citation graphs. The Python package implementing the Web service is also able to format Wikidata bibliographic entries for use in LaTeX/BIBTeX. Apart from detailing Scholia, we describe how Wikidata has been used for bibliographic information and we also provide some scientometric statistics on this information.

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DO - 10.1007/978-3-319-70407-4_36

M3 - Conference article in proceeding

SN - 978-3-319-70406-7

T3 - Lecture Notes in Computer Science

SP - 237

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BT - The Semantic Web:

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A2 - Hose, Katja

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Scholia, Scientometrics and Wikidata

Abstract

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