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Linguistic Linked Data in Digital Humanities

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Linguistic Linked Data

Abstract

In recent years, Digital Humanities (DH) has become an increasingly flourishing field of research, often posing novel research challenges that require extensions or revisions of existing technologies. One characteristic of this area is the great heterogeneity of scientific disciplines and user communities involved. This leads to heterogeneity of data formats and data sources that represents a technical challenge from the point of view of interoperability. Linked data technology has the potential to facilitate the integration of heterogeneous data formats and distributed data sources. This chapter describes prototypical applications of LLD technologies and LOD resources in Digital Humanities as well as frequently used vocabularies.

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Authors and Affiliations

  1. Semantic Computing Group, Bielefeld University, Bielefeld, Germany

    Philipp Cimiano

  2. Angewandte Computerlinguistik, Goethe-University, Frankfurt am Main, Germany

    Christian Chiarcos

  3. Insight Centre for Data Analytics, National University of Ireland, Galway, Ireland

    John P. McCrae

  4. Aragon Institute of Engineering Research (I3A), University of Zaragoza, Zaragoza, Spain

    Jorge Gracia

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Cimiano, P., Chiarcos, C., McCrae, J.P., Gracia, J. (2020). Linguistic Linked Data in Digital Humanities. In: Linguistic Linked Data. Springer, Cham. https://doi.org/10.1007/978-3-030-30225-2_13

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