  The web of data has brought forth the need to preserve and sustain evolving
information within linked datasets; however, a basic requirement of data
preservation is the maintenance of the datasets' structural characteristics as
well. As open data are often found using different and/or heterogeneous data
models and schemata from one source to another, there is a need to reconcile
these mismatches and provide common denominations of interpretation on a
multitude of levels, in order to be able to preserve and manage the evolution
of the generated resources. 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. We first propose a
set of re-quirements for modelling evolving linked datasets. We then proceed on
concep-tualizing a modelling framework for evolving entities and place these in
a 2x2 model space that consists of the semantic and the temporal dimensions.
