Analyzing Semantic Interoperability in Bioinformatic Database Networks

We consider the problem of analytically evaluating semantic 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.