Recent surveys, about the Linked Data initiatives in library organizations, report the experimental nature of related projects and the difficulty in re-using data to provide improvements of library services. This paper presents an approach for managing data and its "tacit" organizational knowledge, as the originating data context, improving the interpretation of data meaning. By analyzing a Digital Libray system, we prototyped a method for turning data management into a "semantic data management", where local system knowledge is managed as a data, and natively foreseen as a Linked Data. Semantic data management aims to curates the correct consumers' understanding of Linked Datasets, driving to a proper re-use.

Addressing the tacit knowledge of a digital library system / Di Iorio, Angela; Schaerf, Marco. - 2254:(2018), pp. 41-50. (Intervento presentato al convegno 2018 Multidisciplinary Symposium on Computer Science and ICT, REMS 2018 tenutosi a Stavropol; Russia).

Addressing the tacit knowledge of a digital library system

Di Iorio, Angela
;
Schaerf, Marco
2018

Abstract

Recent surveys, about the Linked Data initiatives in library organizations, report the experimental nature of related projects and the difficulty in re-using data to provide improvements of library services. This paper presents an approach for managing data and its "tacit" organizational knowledge, as the originating data context, improving the interpretation of data meaning. By analyzing a Digital Libray system, we prototyped a method for turning data management into a "semantic data management", where local system knowledge is managed as a data, and natively foreseen as a Linked Data. Semantic data management aims to curates the correct consumers' understanding of Linked Datasets, driving to a proper re-use.
2018
2018 Multidisciplinary Symposium on Computer Science and ICT, REMS 2018
Computer Science; Digital libraries; Semantic Web
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Addressing the tacit knowledge of a digital library system / Di Iorio, Angela; Schaerf, Marco. - 2254:(2018), pp. 41-50. (Intervento presentato al convegno 2018 Multidisciplinary Symposium on Computer Science and ICT, REMS 2018 tenutosi a Stavropol; Russia).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1209171
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