  The Linked Data Paradigm is one of the most promising technologies for
publishing, sharing, and connecting data on the Web, and offers a new way for
data integration and interoperability. However, the proliferation of
distributed, inter-connected sources of information and services on the Web
poses significant new challenges for managing consistently a huge number of
large datasets and their interdependencies. In this paper we focus on the key
problem of preserving evolving structured interlinked data. We argue that a
number of issues that hinder applications and users are related to the temporal
aspect that is intrinsic in linked data. We present a number of real use cases
to motivate our approach, we discuss the problems that occur, and propose a
direction for a solution.
