Towards a Framework for Managing Evolving Information Resources on the Data Web Full text

Marios Meimaris, George Papastefanatos, Christos Pateritsas, Theodora Galani, Yannis Stavrakas
1st International Workshop on Dataset PROFIling & fEderated Search for Linked Data (PROFILES) 2014, collocated with ESWC 2014, electronic proceedings in CEUR-WS vol. 1151
Abstract. The web of data has brought forth the need to preserve evolving information within linked datasets; however, a basic requirement of data preservation is the maintenance of the datasets’ structural aspects as well. In this paper, we present a linked data approach for the preservation and archiving of open heterogeneous datasets that evolve through time, at both the structural and the semantic layer, taking into consideration the requirements for modelling evolving linked datasets.