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Auflistung nach Autor:in "Gradl, Tobias"

1 - 3 von 3
  • Textdokument
    Explicating knowledge on data models through domain specific languages
    (INFORMATIK 2017, 2017) Gradl, Tobias; Henrich, Andreas
    Digital artifacts and metadata of the arts and humanities exhibit a wide spectrum of formats, structures and contexts, and hence a high level of heterogeneity. With particular respect of the characteristics of the application domain, we propose a concept on the basis of formal languages, which allows the separation of technical and contextual aspects of data modeling. Based on a developed framework, domain experts explicate knowledge about data in terms of domain specific languages and derived transformation functions. Independent of actual technical aspects of data transformation and integration (e.g. formats, access protocols, schema languages), experts of particular disciplines, collections or research questions can describe and define data models and relations in an extensive, declarative fashion—utilizing custom data models or standards as applicable. As implicit knowledge is continuously explicated within the data models, interpretations external to the generative context of data are facilitated—thereby promoting interoperability.
  • Konferenzbeitrag
    High Performance Multigrid on Current Large Scale Parallel Computers
    (9th workshop on parallel systems and algorithms – workshop of the GI/ITG special interest groups PARS and PARVA, 2008) Gradl, Tobias; Rüde, Ulrich
    Making multigrid algorithms run efficiently on large parallel computers is a challenge. Without clever data structures the communication overhead will lead to an unacceptable performance drop when using thousands of processors. We show that with a good implementation it is possible to solve a linear system with 1011 unknowns in about 1.5 minutes on almost 10,000 processors. The data structures also allow for efficient adaptive mesh refinement, opening a wide range of applications to our solver.
  • Konferenzbeitrag
    Integrating Access to Authority Data for Improved Interoperability of Research Data in the Digital Humanities
    (BTW 2023, 2023) Jegan, Robin; Fruth, Leon; Gradl, Tobias; Henrich, Andreas
    Authority data is used to unambiguously identify persons, organisations and places. In this paper, a means to integrate access to several providers of authority data into data curation processes is described, which facilitates disambiguation of geographic data. Combined access to general datasets, in our case the Gemeinsame Normdatei (GND), as well as highly specialized datasets, here the Memorial Archives, improves the resolution of ambiguities and particularly benefits use cases of the Digital Humanities. The integration is necessary in order to abstract from technical, syntactical and semantic heterogeneity of the providers. Operations such as querying geographic information and receiving enriched data from different data sources are facilitated. An overview of the goals of the system, related projects and authority data providers are presented, as well as details on the implementation and further steps.