Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Warehousing Web Data   In a data warehousing process, mastering the data preparation phase allows
substantial gains in terms of time and performance when performing
multidimensional analysis or using data mining algorithms. Furthermore, a data
warehouse can require external data. The web is a prevalent data source in this
context. In this paper, we propose a modeling process for integrating diverse
and heterogeneous (so-called multiform) data into a unified format.
Furthermore, the very schema definition provides first-rate metadata in our
data warehousing context. At the conceptual level, a complex object is
represented in UML. Our logical model is an XML schema that can be described
with a DTD or the XML-Schema language. Eventually, we have designed a Java
prototype that transforms our multiform input data into XML documents
representing our physical model. Then, the XML documents we obtain are mapped
into a relational database we view as an ODS (Operational Data Storage), whose
content will have to be re-modeled in a multidimensional way to allow its
storage in a star schema-based warehouse and, later, its analysis.

30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
6
The categories of this paper are: astro-ph
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
34
The categories of this paper are: chem-ph
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat