CorpusTracer: A CIDOC database for tracing knowledge networks
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In: Digital Scholarship in the Humanities, Vol. 33, No. 2, 01.06.2018, p. 336-346.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - CorpusTracer
T2 - A CIDOC database for tracing knowledge networks
AU - Kraütli, Florian
AU - Valleriani, Matteo
N1 - the context of ResearchSpace, a project led by the British Museum and funded by the Mellon Foundation.
PY - 2018/6/1
Y1 - 2018/6/1
N2 - In our research, we study mechanisms of knowledge dissemination based on the structural and social networks surrounding the edition history of a single text: the Tractatus de sphaera by Johannes de Sacrobosco. By applying methods from network analysis, we investigate how specific commentaries on the text circulated, which actors were responsible for them and what factors supported or hindered the spread of specific kinds of knowledge. The basis of this investigation is represented by CorpusTracer, a database that stores the required data in a suitable format and with the required level of expressivity. In this article, we present the design of our database and our data model based on CIDOC-CRM and FRBRoo. We discuss the implementation and suitability of the conceptual and technical realization for our research question. We conclude that FRBRoo fits well to the task at hand. We found that the comparatively complex data structure it requires can be sufficiently abstracted through current implementation methods. As the research continues, our data model will have to grow and we expect that the presented methods will be sufficient to accommodate our future requirements.
AB - In our research, we study mechanisms of knowledge dissemination based on the structural and social networks surrounding the edition history of a single text: the Tractatus de sphaera by Johannes de Sacrobosco. By applying methods from network analysis, we investigate how specific commentaries on the text circulated, which actors were responsible for them and what factors supported or hindered the spread of specific kinds of knowledge. The basis of this investigation is represented by CorpusTracer, a database that stores the required data in a suitable format and with the required level of expressivity. In this article, we present the design of our database and our data model based on CIDOC-CRM and FRBRoo. We discuss the implementation and suitability of the conceptual and technical realization for our research question. We conclude that FRBRoo fits well to the task at hand. We found that the comparatively complex data structure it requires can be sufficiently abstracted through current implementation methods. As the research continues, our data model will have to grow and we expect that the presented methods will be sufficient to accommodate our future requirements.
KW - Philosophy
UR - http://www.scopus.com/inward/record.url?scp=85054874342&partnerID=8YFLogxK
U2 - 10.1093/llc/fqx047
DO - 10.1093/llc/fqx047
M3 - Journal articles
AN - SCOPUS:85054874342
VL - 33
SP - 336
EP - 346
JO - Digital Scholarship in the Humanities
JF - Digital Scholarship in the Humanities
SN - 2055-7671
IS - 2
ER -