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Document Semantic Support-NISO Plus
Abstract
Office documents have been viewed as unstructured documents. Metadata has only been associated with an entire document, not the elements that constitute it. With the long-term aim of facilitating the development of usefully standard mechanisms by which to give structure to semantically significant elements of documents, a working group on document semantic support has been established within an ISO subcommittee (SC 34) on document description and processing languages to investigate how experts are generating, capturing, organizing, attaching, and storing semantically important elements of documents. Our Working Group (WG 9) investigates methods for associating semantic metadata with office documents. The aim of our presentation will be to introduce our work and engage participants at NISO Plus 2022 in a discussion about how best to provide what we are calling “semantic support” to the diversity of people and communities that use office documents.
Office documents have been viewed as unstructured documents. Metadata has only been associated with an entire document, not the elements that constitute it. With the long-term aim of facilitating the development of usefully standard mechanisms by which to give structure to semantically significant elements of documents, a working group on document semantic support has been established within an ISO subcommittee (SC 34) on document description and processing languages to investigate how experts are generating, capturing, organizing, attaching, and storing semantically important elements of documents. Our Working Group (WG 9) investigates methods for associating semantic metadata with office documents. The aim of our presentation will be to introduce our work and engage participants at NISO Plus 2022 in a discussion about how best to provide what we are calling “semantic support” to the diversity of people and communities that use office documents.
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Wayne de Fremery is an associate professor in the School of Media, Arts, and Science at Sogang University in Seoul and Director of the Korea Text Initiative at the Cambridge Institute for the Study of Korea in Cambridge, Massachusetts (/www.koreatext.org). He represents the Korean National Body at ISO as Convener of a working group on document description, processing languages, and semantic metadata (ISO/IEC JTC 1/SC 34 WG 9). Some of his recent research projects have concerned the integration of privately generated textual heritage information into the information management systems of the National Library of South Korea (Library Hi Tech, 2020), digital humanities in the iSchool (JASIST,2021), copy theory (JASIST,2021), and the use of deep learning to improve Korean OCR, for which he received a national citation of merit from the South Korean Ministry of Culture, Sports, and Tourism.
