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DivaDesk: A Holistic Digital Workspace for Analyzing Historical Document Images
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2014 (English)In: Manuscript Cultures, ISSN 1867-9617, Vol. 7, p. 69-82Article in journal (Refereed) Published
Abstract [en]

In this article we present the concept of DIVADesk – a Virtual Research Environment (VRE) for scholarly work on historical documents inspired by the shift toward working with digital facsimiles. The contribution of this article is three-fold. First, a review of existing tools and projects shows that a holistic workspace integrating the latest outcomes of computational Document Image Analysis (DIA) research is still a desideratum that can only be achieved by intensive interdisciplinary collaboration. Second, the underlying modular architecture of the digital workspace is presented. It consists of a set of services that can be combined according to individual scholars’ requirements. Furthermore, interoperability with existing frameworks and services allows the research data to be shared with other VREs. The proposed DIVADesk addresses specific research with historical documents, as this is one of the hardest cases in computational DIA. The outcomes of this paradigmatic research can be transferred to other use cases in the humanities. The third contribution of this article is a description of already existing services and user interfaces to be integrated in DIVADesk. They are part of ongoing research at the DIVA research group at the University of Fribourg, Switzerland. The labeling tool DIVADIA, for example, provides methods for layout analysis, script analysis, and text recognition of historical documents. These methods build on the concept of incremental learning and provide users with semi-automatic labeling of document parts, such as text, images, and initials. The conception and realization of DIVADesk promises research outcomes both in computer science and in the humanities. Therefore, an interdisciplinary approach and intensive collaboration between scholars in the two research fields are of crucial importance.

Place, publisher, year, edition, pages
University of Hamburg , 2014. Vol. 7, p. 69-82
National Category
Computer Systems Computer Sciences
Research subject
Machine Learning
Identifiers
URN: urn:nbn:se:ltu:diva-72209OAI: oai:DiVA.org:ltu-72209DiVA, id: diva2:1271566
Conference
Conference on Natural Sciences and Technology in Manuscript Analysis'at the University of Hamburg,SFB 950, Manuskriptkulturen in Asien, Afrika und Europa, Centre for the Study of Manuscript Cultures 4–6 December 2013.
Note

Konferensartikel i tidskrift

Available from: 2018-12-17 Created: 2018-12-17 Last updated: 2019-11-27Bibliographically approved

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Liwicki, Marcus

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