  The Data Web refers to the vast and rapidly increasing quantity of
scientific, corporate, government and crowd-sourced data published in the form
of Linked Open Data, which encourages the uniform representation of
heterogeneous data items on the web and the creation of links between them. The
growing availability of open linked datasets has brought forth significant new
challenges regarding their proper preservation and the management of evolving
information within them. In this paper, we focus on the evolution and
preservation challenges related to publishing and preserving evolving linked
data across time. We discuss the main problems regarding their proper modelling
and querying and provide a conceptual model and a query language for modelling
and retrieving evolving data along with changes affecting them. We present in
details the syntax of the query language and demonstrate its functionality over
a real-world use case of evolving linked dataset from the biological domain.
