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Auflistung nach Autor:in "Niebling, Florian"

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  • Konferenzbeitrag
    Building a Wiki resource on digital 3D reconstruction related knowledge assets
    (Workshop Gemeinschaften in Neuen Medien (GeNeMe) 2016, 2016) Münster, Sandra; Niebling, Florian
    While single theoretical approaches related to visual humanities research and in particular digital 3D reconstruction – as the virtual, interpretative 3D modeling and visualization of historical objects – are widely described in compendia like Wikipedia, and various publications discuss approaches from certain disciplinary perspectives, a comprehensive and multidisciplinary systematization is still missing. Against this background, the research activity described within this article is intended to gain a wide and multidisciplinary overview for research approaches, theories, and methods which are relevant to investigate or explain knowledge-related phenomena in the context of visual humanities research and education. Design/methodology/approach – To meet these interests we intend to set up a Wiki resource as a structured repository. The content will be based on (a) interactive workshops held at conferences to collect and structure knowledge assets on visual knowledge involving experts from different domains. Moreover, (b) a student seminar starting in early 2017 is designated to describe some typical research designs as well as amend related methods and theories in the Wiki resource based on Wikipedia articles. A content structuring principle for the Wiki resource follows the guidelines of Wikimedia as well as plans for the results to be populated again in Wikipedia. Originality/value – While Wiki approaches are frequently used in the context of visual humanities, these resources are primarily created by experts. Furthermore, Wiki-based approaches related to visualization are often focused on a certain disciplinary context as, for example, art history. A unique aspect of the described setting is to build a Wiki on digital 3D reconstruction including expertise from different knowledge domains – i.e. on perception and cognition, didactics, information sciences, as well as computing and visual humanities. Moreover, the combination of student work and assessments by experts also provides novel insights for educational research. Practical implications – The intended product is a comprehensive and multidisciplinary structured repository on digital 3D reconstruction research approaches, methods, theories, publication bodies, and good practice examples. The editing of the project results into the Wikipedia will lead to a wide dissemination and visibility of group activities and outcomes as well as enhance competencies of all contributors on collaborative work.
  • Konferenzbeitrag
    Integration of Services for Software Development in DH: A Case Study of Image Classification using Convolutional Neural Networks
    (INFORMATIK 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft (Workshop-Beiträge), 2019) Niebling, Florian; Haas, Michael; Blessing, Andre´
    This paper presents a case study of integrating RESTful web services for software development in the Digital Humanities. Journalists today are able to utilize huge amounts of image data to illustrate their articles. To provide easy access, image databases need to be structured and photographic documents stored within need to be categorized. Here, methods based on Deep Learning have recently had a significant impact on image categorization. We highlight the potentials of incorporating machine learning with different models for named-entity recognition in image captions, to facilitate classification of images according to standard IPTC media topics. We finally discuss the results of our project employing service-oriented architectures integrating specialized components to simplify the creation of DH applications.
  • Konferenzbeitrag
    Novel Approaches to research and discover Urban History
    (Workshop Gemeinschaften in Neuen Medien (GeNeMe) 2018, 2018) Münster, Sander; Breitenstein, Marcus; Bruschke, Jonas; Friedrichs, Kristina; Kröber, Cindy; Henze, Frank; Maiwald, Ferdinand; Niebling, Florian
    Photographs and plans are an essential source for historical research (Münster, Kamposiori, Friedrichs, & Kröber, 2018) and key objects in Digital Humanities (Kwastek, 2014). Numerous digital image archives, containing vast numbers of photographs, have been set up in the context of digitization projects. These extensive repositories of image media are still difficult to search. It is not easy to identify sources relevant for research, analyze and contextualize them, or compare them with the historical original. The eHumanities research group HistStadt4D, funded by the German Federal Ministry of Education and Research (BMBF) until July 2020 consists of 14 people – including 4 post-doctoral and 5 PhD researchers. Since a focal interest is to comprehensively investigate how to enhance accessibility of large scale image repositories, researchers and research approaches originate from the humanities, geoand information technologies as well as from educational and information studies. In contrast to adjacent projects dealing primarily with large scale linked text data as the Venice Time Machine project (“The Venice Time Machine,” 2017), sources addressed by the junior group are primarily historical photographs and plans. Historical media and their contextual information are being transferred into a 4D – 3D spatial and temporal scaled - model to support research and education on urban history. Content will be made accessible in two ways; via a 4D browser and a location-dependent augmented-reality representation. The prototype database consists of about 200,000 digitized historical photographs and plans of Dresden from the Deutsche Fotothek (“Deutsche Fotothek,”).
  • Workshopbeitrag
    Räumliches Durchsuchen von Repositorien historischer Fotografien
    (Mensch und Computer 2018 - Workshopband, 2018) Bruschke, Jonas; Niebling, Florian
    Historische Bilddokumente bilden eine wichtige Datenbasis für Forscher in den Digital Humanities (DH). Speziell Kunst- und Architekturhistoriker sind auf historische Fotografien angewiesen, die in Online-Medienrepositorien zur Verfügung gestellt werden. Die Suche nach diesen Bildern basiert im Allgemeinen auf Metadaten. Diese sind häufig unvollständig, ungenau oder falsch, wodurch sich eine Suche er-schwert. In diesem Demonstrator präsentieren wir die Möglichkeiten einer ortsbasierten Durchsuchung historischer Abbildungen von Stadtarchitektur basierend auf der räumlichen Verortung von Bilddokumenten mittels photogrammetrischer Algorithmen. Durch die vorgestellten Methoden einer interaktiven räumlichen Darstellung und Exploration historischer Bildbestände bieten sich neue Möglichkeiten geschichtswissenschaftliche Fragestellungen zu beantworten.
  • Workshopbeitrag
    Stadtgeschichtliche Forschung anhand räumlich- und zeitlich verorteter Photographien
    (INF-DH-2018, 2018) Niebling, Florian; Münster, Sander; Bruschke, Jonas; Maiwald, Ferdinand; Friedrichs, Kristina
    Forschung in den Digital Humanities (DH) erfordert die Zusammenarbeit verschiedener Disziplinen aus Geistes- und Kultur-, Ingenieur- und Informationswissenschaften. Die Fragestellungen die sich dabei aus geisteswissenschaftlicher Perspektive stellen, werfen dabei auch neue Forschungsfragen gerade für die eher angewandten Teilgebiete der Informatik auf. Wir präsentieren Ergebnisse einer interdisziplinären Nachwuchsforschergruppe, die Medienrepositorien historischer Photographien, Zeichnungen und Plänen um räumlich-zeitliche Zugänge erweitert. Es werden Methoden entwickelt um historische Abbildungen von Gebäuden in ein räumliches und zeitliches Modell einzubringen und dieses für architekturwissenschaftliche Forschung zugänglich zu machen. Am Beispiel Dresdner Stadtgeschichte werden Forschungsfragen der Geschichtswissenschaften, Photogrammetrie, Bildungswissenschaften und verschiedenen Bereichen der Informatik bearbeitet.
  • Konferenzbeitrag
    Supporting Learning in Art History – Artificial Intelligence in Digital Humanities Education
    (Workshop Gemeinschaften in Neuen Medien (GeNeMe) 2020, 2020) Messemer, Heike; Perera, Walpola Layantha; Heinz, Matthias; Niebling, Florian; Maiwald, Ferdinand
    In recent years and especially in the context of the coronavirus pandemic, digital distance learning increases. But for academic students, the selection of adequate learning materials for educational purposes is becoming more and more complex. This marks only one starting point where the use of artificial intelligence (AI) offers additional value. AI has a great potential to enhance and support research and education in the field of digital humanities (DH). As international organisations have just expressed their thoughts on the subject, AI is the topic par excellence and will decisively shape the future development of educational processes.