Schema Evolution publication categorizer

Many data integration solutions in the market today include tools for schema mapping, to help users visually relate elements of different schemas. Schema elements are connected with lines, which are interpreted as mappings, i.e. high-level logical expressions capturing the relationship between source and target data-sets; these are compiled into queries and programs that convert source-side data instances into target-side instances.

The translation of information between heterogeneous rep-
resentations is a long standing issue. With the large spreading of cooper-
ative applications fostered by the advent of the Internet the problem has
gained more and more attention but there are still few and partial solu-
tions. In general, given an information source, different translations can
be defined for the same target model. In this work, we first identify gen-
eral properties that “good” translations should fulfill. We then propose
novel techniques for the automatic generation of model translations. A

In this paper, we illustrate a preliminary approach to the
translation of Web data between heterogeneous formats. This work fits
into a larger pro ject whose aim is the development of a tool for the man-
agement of data described according to a large variety of formats used on
the Web and the (semi)automatic translation of schemes and instances
from one model to another. Data translations operate over XML repre-
sentations of instances and rely on a uniform representation of models
that we call metamodel. The metamodel shows structural diversities and