The dynamic and distributed nature of the Semantic Web implies that datasets are often the result of collective participation rather than isolated works. Change management, provenance tracking and validation of changes performed by contributing agents are all requirements of systems for collaborative dataset development. Different scenarios may as well require mechanisms to foster consensus, resolve conflicts between competing changes, reversing or ignoring changes etc. In this paper, we perform a landscape analysis of version control for RDF datasets, emphasising the importance of change reversion to support validation. Firstly, we discuss different representations of changes in RDF datasets and introduce higher-level perspectives on change. Secondly, we analyse diverse approaches to version control. We conclude by focusing on validation, characterising it as a separate need from the mere preservation of different versions of a dataset.

Fiorelli, M., Pazienza, M.t., Stellato, A., Turbati, A. (2017). Change management and validation for collaborative editing of RDF datasets. INTERNATIONAL JOURNAL OF METADATA, SEMANTICS AND ONTOLOGIES, 12(2-3), 142-154 [10.1504/IJMSO.2017.090783].

Change management and validation for collaborative editing of RDF datasets

Manuel Fiorelli;Maria Teresa Pazienza;Armando Stellato
;
Andrea Turbati
2017-12

Abstract

The dynamic and distributed nature of the Semantic Web implies that datasets are often the result of collective participation rather than isolated works. Change management, provenance tracking and validation of changes performed by contributing agents are all requirements of systems for collaborative dataset development. Different scenarios may as well require mechanisms to foster consensus, resolve conflicts between competing changes, reversing or ignoring changes etc. In this paper, we perform a landscape analysis of version control for RDF datasets, emphasising the importance of change reversion to support validation. Firstly, we discuss different representations of changes in RDF datasets and introduce higher-level perspectives on change. Secondly, we analyse diverse approaches to version control. We conclude by focusing on validation, characterising it as a separate need from the mere preservation of different versions of a dataset.
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore INF/01 - Informatica
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
English
Con Impact Factor ISI
change management, change validation, collaborative editing, RDF, resource description framework, provenance tracking, version control, change representation, change reversion
https://www.inderscienceonline.com/doi/abs/10.1504/IJMSO.2017.090783
Fiorelli, M., Pazienza, M.t., Stellato, A., Turbati, A. (2017). Change management and validation for collaborative editing of RDF datasets. INTERNATIONAL JOURNAL OF METADATA, SEMANTICS AND ONTOLOGIES, 12(2-3), 142-154 [10.1504/IJMSO.2017.090783].
Fiorelli, M; Pazienza, Mt; Stellato, A; Turbati, A
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/197059
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