A workflow model for holistic data management and semantic interoperability in quantitative archival research
Author:
Fafalios Pavlos1ORCID,
Marketakis Yannis1,
Axaridou Anastasia1,
Tzitzikas Yannis12,
Doerr Martin1
Affiliation:
1. Information Systems Laboratory, FORTH-ICS , Heraklion, Greece
2. Computer Science Department, University of Crete , Heraklion, Greece
Abstract
Abstract
Archival research is a complicated task that involves several diverse activities for the extraction of evidence and knowledge from a set of archival documents. The involved activities are usually unconnected, in terms of data connection and flow, making difficult their recursive revision and execution, as well as the inspection of provenance information at data element level. This article proposes a workflow model for holistic data management in archival research: from transcribing and documenting a set of archival documents, to curating the transcribed data, integrating it to a rich semantic network (knowledge graph), and then exploring the integrated data quantitatively. The workflow is provenance-aware, highly recursive and focuses on semantic interoperability, aiming at the production of sustainable data of high value and long-term validity. We provide implementation details for each step of the workflow and present its application in maritime history research. We also discuss relevant quality aspects and lessons learned from its application in a real context.
Funder
European Union’s Horizon 2020 research and innovation program
European Research Council
Publisher
Oxford University Press (OUP)
Subject
Computer Science Applications,Linguistics and Language,Language and Linguistics,Information Systems
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