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

AKSW Colloquium, 07.07.2017, Two paper presentations concerning Link Discovery and Knowledge Base Reasoning ( 2017-07-06T21:24:36+02:00 by Daniel Obraczka)

2017-07-06T21:24:36+02:00 by Daniel Obraczka

At the AKSW Colloquium on Friday 7th of July, at 10:40 AM there will be two paper presentations concerning genetic algorithms to learn linkage rules, and differentiable learning of logical rules for knowledge base reasoning. Read more about "AKSW Colloquium, 07.07.2017, Two paper presentations concerning Link Discovery and Knowledge Base Reasoning"

SANSA 0.2 (Semantic Analytics Stack) Released ( 2017-06-13T18:18:28+02:00 by Prof. Dr. Jens Lehmann)

2017-06-13T18:18:28+02:00 by Prof. Dr. Jens Lehmann

The AKSW and Smart Data Analytics groups are happy to announce SANSA 0.2 – the second release of the Scalable Semantic Analytics Stack. Read more about "SANSA 0.2 (Semantic Analytics Stack) Released"

AKSW at ESWC 2017 ( 2017-06-12T10:53:35+02:00 Christopher Schulz)

2017-06-12T10:53:35+02:00 Christopher Schulz

Hello Community! The ESWC 2017 just ended and we give a short report of the course at the conference, especially regarding the AKSW-Group. Our members Dr. Muhammad Saleem, Dr. Mohamed Ahmed Sherif, Claus Stadler, Michael Röder, Prof. Dr. Read more about "AKSW at ESWC 2017"

Four papers accepted at WI 2017 ( 2017-06-10T15:01:31+02:00 Christopher Schulz)

2017-06-10T15:01:31+02:00 Christopher Schulz

Hello Community! We proudly announce that The International Conference on Web Intelligence (WI) accepted four papers by our group. The WI takes place in Leipzig between the 23th – 26th of August. Read more about "Four papers accepted at WI 2017"

AKSW Colloquium, 29.05.2017, Addressing open Machine Translation problems with Linked Data. ( 2017-05-26T13:51:11+02:00 by Diego Moussallem)

2017-05-26T13:51:11+02:00 by Diego Moussallem

At the AKSW Colloquium, on Monday 29th of May 2017, 3 PM, Diego Moussallem will present two papers related to his topic. First paper titled “Using BabelNet to Improve OOV Coverage in SMT” of Du et al. Read more about "AKSW Colloquium, 29.05.2017, Addressing open Machine Translation problems with Linked Data."