The paper explores the strategies and methods for preserving Linked Open Data (LOD). To this aim it first presents an overview of the main scientific initiatives that have dealt with this topic. Then it describes some digital technologies that may result useful for preserving LOD, providing some insights on their application to LOD. It also provides a concrete example of implementation of the Semantic Web technologies for preserving Linked Data. Finally, it suggests some specific themes and directions that should be further investigated in order to elaborate a comprehensive solution to this problem: the preservation of Linked Open Data cannot be demanded to a single tool or method, it is rather the result of technical, organizational and procedural choices that altogether make up a consistent framework for LOD preservation.
Preservation of Linked Open Data / Bartoli, Margherita; Guernaccini, Fabiana; Michetti, Giovanni. - In: JLIS.IT. - ISSN 2038-1026. - 2:(2020), pp. 20-44.
Preservation of Linked Open Data
Margherita Bartoli;Fabiana Guernaccini;Giovanni Michetti
2020
Abstract
The paper explores the strategies and methods for preserving Linked Open Data (LOD). To this aim it first presents an overview of the main scientific initiatives that have dealt with this topic. Then it describes some digital technologies that may result useful for preserving LOD, providing some insights on their application to LOD. It also provides a concrete example of implementation of the Semantic Web technologies for preserving Linked Data. Finally, it suggests some specific themes and directions that should be further investigated in order to elaborate a comprehensive solution to this problem: the preservation of Linked Open Data cannot be demanded to a single tool or method, it is rather the result of technical, organizational and procedural choices that altogether make up a consistent framework for LOD preservation.File | Dimensione | Formato | |
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