This study aims to examine ethical and privacy issues in artificial intelligence (AI)-based information services in libraries and to analyze their implications for user trust. This study specifically focuses on how librarians and users perceive AI ethics differently and how these perceptions influence trust in AI-d...
Endang Fitria Mannan, Nove E. Variant Anna, Wirapong Chansanam et al.· Journal of Information, Comm...· 0 citations
Objective. The objective of this study was to provide a comprehensive bibliometric review of research at the intersection of retrieval-augmented generation (RAG) and knowledge graphs (KGs), to map the intellectual structure of the field, and to quantify scholarly activity on system architectures, evaluation venues, and...
An AI-guided framework is developed that aligns AI-assisted metadata extraction with Dublin Core Terms and the FAIR principles for digital libraries, archives, and cultural-heritage repositories and is evaluated as a design-science artefact in which retrieval is not a side feature but a feedback loop.
Wirapong Chansanam, Umawadee Detthamrong, Chunqiu Li et al.· 0 citations
An integrated Linked Open Metadata (LOM) framework for an ASEAN Galleries, Libraries, Archives, and Museums (GLAM) aggregation platform is developed and evaluated to position aggregation as a socio-technical governance problem and provide a transferable framework for regions with heterogeneous institutional capacity an...
Wirapong Chansanam, Treepidok Ngootip, K. Kwiecien et al.· npj Heritage Science· 0 citations
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