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
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 ; Ponzetto, Simone Paolo
Divisions:	School of Business Informatics and Mathematics > Semantic Web (Juniorprofessur) (Ponzetto 2013-15)

DDC Classification:	020 Library and information sciences
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/
DOI:	https://doi.org/10.7801/259
Availability (Controlled):	Download

Metadata export

Multiline CSVBibTeXHTML CitationEP3 XMLReference Manager

File	Filename / Infos	Link
	Text Filename: enriched-DART.tsv	Download (51MB)

Depositing User:	Federico Nanni
Date Deposited:	12 Nov 2017 15:02
Last Modified:	29 Feb 2024 20:20

Actions (login required)

View Item