2026-08-03T08:48:00Z https://dcpapers.dublincore.org/oai

oai:dcpapers.dublincore.org:953151686 2023-03-30 dcmi-2022

Application Profile Driven Data Acquisition for Knowledge Graph and Linked Data Generation in Crowdsourced Data Journalism Thalhath, Nishad Nagamori, Mitsuharu Sakaguchi, Tetsuo Application Profile Crowd sourcing Data Journalism Linked Data Knowledge Graphs 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. Dublin Core Metadata Initiative 2023-03-30 Text application/pdf text/html https://doi.org/10.23106/dcmi.953151686 https://dcpapers.dublincore.org/article/953151686 Dublin Core Metadata Initiative Conference Proceedings en https://www.wikidata.org/wiki/Q120636771 https://creativecommons.org/licenses/by/4.0/