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CLS INFRA D7.1 On Programmable Corpora

Authors: Börner, Ingo; Trilcke, Peer;

CLS INFRA D7.1 On Programmable Corpora

Abstract

While the discipline of Computational Literary Studies (CLS) consolidates, infrastructural challenges arise that have to be addressed to ensure that good, sustainable and open scholarship can be carried out in this dynamic field of Digital Humanities research. In this situation, Work Package 7 of the CLS project, entitled “Building the Ecosystem of and for Programmable Corpora”, is developing a small-scale, but highly functional prototype for an infrastructural ecosystem for CLS research, following the concept of a network-based software architecture. The prototype, implemented as the multi-component system “DraCor” (Drama Corpora Platform), realizes the concept of “Programmable Corpora”, which is defined as corpora that expose an open, transparently documented and (at least partly) research-driven API to make texts machine-actionable. This report gives a detailed description of the DraCor system as a prototype for “Programmable Corpora”. It also shares two first experiments in adapting and transferring the approach of an API-based CLS research infrastructure to other systems and resources.

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Keywords

Corpora, Literature, API, DraCor, Programmable Corpora, Computational Literary Studies

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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