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Application Profile Driven Data Acquisition for Knowledge Graph and Linked Data Generation in Crowdsourced Data Journalism

Nishad Thalhath ORCID of $Nishad $Thalhath , Mitsuharu Nagamori ORCID of $Mitsuharu $Nagamori , Tetsuo Sakaguchi ORCID of $Tetsuo $Sakaguchi
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Wikidata ID: Q120636771
Abstract

Application Profiles consist of vocabularies that are combined from different namespaces and customized for local applications. They serve as a way to constrain and explain metadata for each dataset. Information processing communities face challenges in linking data and generating knowledge graphs, which Application Profiles can help address. In this paper, the authors propose creating questionnaires based on application profiles to link data in crowdsourced data acquisition, particularly when adapting a single vocabulary or limited domain-specific vocabularies is challenging. The paper presents a proof-of-concept study of this approach, which adapts existing standards and tools. The authors believe that similar methods can be applied to related use-cases.

Author information

Nishad Thalhath
School of Library, Information and Media Studies, University of Tsukuba, Japan
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Mitsuharu Nagamori
Faculty of Library, Information and Media Studies, University of Tsukuba, Japan
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Tetsuo Sakaguchi
Faculty of Library, Information and Media Studies, University of Tsukuba, Japan
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Cite this article

Thalhath, N., Nagamori, M., & Sakaguchi, T. (2023). Application Profile Driven Data Acquisition for Knowledge Graph and Linked Data Generation in Crowdsourced Data Journalism. International Conference on Dublin Core and Metadata Applications, 2022. https://doi.org/10.23106/dcmi.953151686

DOI : 10.23106/dcmi.953151686

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