Open Access“SEMANTIC” in a Digital Curation Model
Author(s) -
Hye-Won Lee,
SeongMin Yoon,
Park Ziyoung
Publication year - 2020
Publication title -
journal of data and information science/journal of data and information science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.605
H-Index - 8
eISSN - 2543-683X
pISSN - 2096-157X
DOI - 10.2478/jdis-2020-0007
Subject(s) - computer science , representation (politics) , digital curation , resource (disambiguation) , semantic technology , semantic network , data science , originality , focus (optics) , information retrieval , ontology , semantic web , world wide web , semantic computing , natural language processing , sociology , qualitative research , computer network , social science , philosophy , physics , optics , epistemology , politics , political science , law
Purpose This study attempts to propose an abstract model by gathering concepts that can focus on resource representation and description in a digital curation model and suggest a conceptual model that emphasizes semantic enrichment in a digital curation model. Design/methodology/approach This study conducts a literature review to analyze the preceding curation models, DCC CLM, DCC&U, UC3, and DCN. Findings The concept of semantic enrichment is expressed in a single word, SEMANTIC in this study. The Semantic Enrichment Model, SEMANTIC has elements, subject, extraction, multi-language, authority, network, thing, identity, and connect. Research limitations This study does not reflect the actual information environment because it focuses on the concepts of the representation of digital objects. Practical implications This study presents the main considerations for creating and reinforcing the description and representation of digital objects when building and developing digital curation models in specific institutions. Originality/value This study summarizes the elements that should be emphasized in the representation of digital objects in terms of information organization.