Data from the paper: Towards a Computational History of Universities: Evaluating Text Mining Methods for Interdisciplinarity Detection from Ph.D. Dissertation Abstracts
Item Type: | Dataset |
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Title: | Data from the paper: Towards a Computational History of Universities: Evaluating Text Mining Methods for Interdisciplinarity Detection from Ph.D. Dissertation Abstracts |
Date: | 12 November 2017 |
Creator: | Nanni, Federico, Dietz, Laura and Ponzetto, Simone Paolo |
Divisions: | School of Business Informatics and Mathematics > Semantic Web (Juniorprofessur) (Ponzetto 2013-15) |
DDC Classification: |
020 Library and information sciences |
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Abstract: | Dataset from the online portal DART-Europe, enriched with discipline labels. It comprises around 200.000 doctoral theses, published between 1980 and 2015. |
URL: | https://madata.bib.uni-mannheim.de/259/ |
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DOI: | https://doi.org/10.7801/259 |
Availability (Controlled): | Download |
File | Filename / Infos | Link |
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Text
Filename: enriched-DART.tsv |
Download (51MB)
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Depositing User: | Federico Nanni |
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Date Deposited: | 12 Nov 2017 15:02 |
Last Modified: | 29 Feb 2024 20:20 |
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