We present a new approach to information fusion of web data
sources. It is based on peer-to-peer mappings between sources and
utilizes correspondences between their instances. Such correspondences
are already available between many sources, e.g. in the
form of web links, and help combine the information about specific
objects and support a high quality data fusion. Sources and
mappings relate to a domain model to support a semantically focused
information fusion. The iFuice architecture incorporates a
mapping mediator offering both an interactive and a script-driven,
workflow-like access to the sources and their mappings. The
script programmer can use powerful generic operators to execute
and manipulate mappings and their results. The paper motivates
the new approach and outlines the architecture and its main components,
in particular the domain model, source and mapping
model, and the script operators and their usage.

For further information see the <a href="/projekte/DATAINT/index.html">iFuice project homepage</a>.