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Summary: Analyzing Semantic Interoperability in
Bioinformatic Database Networks
Philippe Cudr´e-Mauroux, Julien Gaugaz, Adriana Budura, and Karl Aberer
School of Computer and Communication Sciences
EPFL Switzerland
Abstract. We consider the problem of analytically evaluating seman-
tic interoperability in large-scale networks of schemas interconnected
through pairwise schema mappings. Our heuristics are based on a graph-
theoretic framework capturing important statistical properties of the
graphs. We validate our heuristics on a real collection of interconnected
bioinformatic databases registered with the Sequence Retrieval System
(SRS). Furthermore, we derive and provide experimental evaluations of
query propagation on weighted semantic networks, where weights model
the quality of the various schema mappings in the network.
1 Introduction
Even if Semantic Web technologies have recently gained momentum, their de-
ployment on the wide-scale Internet is still in its infancy. Only a very small
portion of websites have so far been enriched with machine-processable data en-
coded in RDF or OWL. Thus, the difficulty to analyze semantic networks due to
the very lack of realistic data one can gather about them. In [5], we introduced
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