PCP on Web: Professorial Career Patterns of the Early Modern History

Development of a scientific method for research on online available and distributed research databases of academic history.

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Summary

The Leipzig University of Applied Science (HTWK Leipzig) with the research group Agile Knowledge Engineering and Semantic Web (AKSW) and the Herzog August Library in Wolfenbüttel (HAB) run the research project, in cooperation with partners from the Working Group of German Professor catalogs and the European research network for academic history - Héloïse. The project uses independent online databases for research in the field of prosopography, which is the study and evaluation of collected information on groups of historical persons. This project focuses on German professors' career patterns during the 18th and 19th centuries. The proposed research employs databases that have previously been produced by both project partners, namely the Catalogus Professorum Lipsiensium and the Professorum Helmstadiensium. This proposed project will develop a new research method that combines well-known research methods from the humanities and computer science. In preliminary work AKSW proposed the Heloise Common Research Model (HCRM) for cross-project research in the field of university history, within the European research network Heloise. HCRM is conceived as a layered architecture, framing the research within the following abstract layers: the Repository Layer, the Application Layer and the Research Interface Layer. As part of the proposed research project a method will be developed based on HCRM and be evaluated by studying the research question.

About PCP on Web

PCP on Web is a project within the field of Digital Humanities founded by the German Research Foundation (DFG) and started on March 1st, 2017. The consortium consists of HTWK Leipzig (coordinator, Germany) and Herzog August Bibliothek in Wolfenbüttel (Germany).

  • Duration: 03/2017–02/2020
  • Funding Programme: DFG - German Research Foundation

Publications

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News

DBpedia Tutorial @ Knowledge Graph Conference 2021 ( 2021-04-09T13:20:50+02:00 by Julia Holze)

2021-04-09T13:20:50+02:00 by Julia Holze

On May 4, 2021 we will organize a tutorial at the Knowledge Graph Conference (KGC) 2021. Read more about "DBpedia Tutorial @ Knowledge Graph Conference 2021"

DBpedia @ Google Summer of Code program 2021 ( 2021-03-15T09:41:22+01:00 by Julia Holze)

2021-03-15T09:41:22+01:00 by Julia Holze

DBpedia, one of InfAI’s community projects, will participate in the Google Summer of Code (GSoC) program for the 10th time. The GsoC program has the goal to bring students from all over the globe into open source software development. Read more about "DBpedia @ Google Summer of Code program 2021"

DBpedia’s New Website ( 2021-01-28T12:42:40+01:00 by Julia Holze)

2021-01-28T12:42:40+01:00 by Julia Holze

We are proud to announce the completion of the new DBpedia website. Read more about "DBpedia’s New Website"

SANSA 0.7.1 (Semantic Analytics Stack) Released ( 2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann)

2020-01-17T09:52:41+01:00 by Prof. Dr. Jens Lehmann

We are happy to announce SANSA 0.7.1 – the seventh release of the Scalable Semantic Analytics Stack. SANSA employs distributed computing via Apache Spark and Flink in order to allow scalable machine learning, inference and querying capabilities for large knowledge graphs. Read more about "SANSA 0.7.1 (Semantic Analytics Stack) Released"

More Complete Resultset Retrieval from Large Heterogeneous RDF Sources ( 2019-12-05T15:46:09+01:00 Andre Valdestilhas)

2019-12-05T15:46:09+01:00 Andre Valdestilhas

Over recent years, the Web of Data has grown significantly. Various interfaces such as LOD Stats, LOD Laundromat and SPARQL endpoints provide access to hundreds of thousands of RDF datasets, representing billions of facts. Read more about "More Complete Resultset Retrieval from Large Heterogeneous RDF Sources"