Bachelor Thesis BCLR-2022-24

BibliographyPisano, Vincenzo: Plugin-based workflow integration for QHAna.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Bachelor Thesis No. 24 (2022).
50 pages, english.
Abstract

With the introduction of computers in the humanities that constitutes the digital humanities, computational tools and methods are employed to assist researchers with promising results. Recently, the integration of quantum computing into the humanities was proposed leading to the term quantum humanities introduced by Barzen and Leymann [BL20] where quantum computers represent a new technology that promises to solve more complex problems due to properties of such computers, e.g., large amounts of data can be processed in a single step. To take advantage of quantum computing in the humanities the QHAna project provides a toolset of machine learning algorithms that are available to the users in form of plugins. Currently, workflows requiring the invocation of multiple QHAna plugins are carried out by users manually. In this work a QHAna workflow plugin is presented that uses a business workflow engine for the automation of such workflows, for this design choices and implementation details are discussed.

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Department(s)University of Stuttgart, Institute of Architecture of Application Systems
Superviser(s)Leymann, Prof. Frank; Bühler, Fabian; Weder, Benjamin
Entry dateOctober 24, 2022
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