For example, 167 stands for {1, 6, 7},
and bcd for {b, c, d}.
Temporal Semistructured Data Models and Data Warehouses 2
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Chapter.XII
Temporal.
Semistructured.
Data.Models.and.
Data.Warehouses
Carlo Comb
University of Verona, Italy
Barbara Oliboni
University of Verona, Italy
Abstract
This chapter describes a graph-based approach to represent information stored in
a data warehouse, by means of a temporal semistructured data model. We consider
issues related to the representation of semistructured data warehouses, and discuss
the set of constraints needed to manage in a correct way the warehouse time, that
is the time dimension considered storing data in the data warehouse itself. We use
a temporal semistructured data model because a data warehouse can contain data
coming from different and heterogeneous data sources. This means that data stored
in a data warehouse are semistructured in nature; that is, in different documents the
same information can be represented in different ways, and the document schemata
can be available or not. Moreover, information stored in a data warehouse is often
time varying, thus as for semistructured data, also in the data warehouse context,
it could be useful to consider time.
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