Schema Evolution publication categorizer

Many existing ontology matching tools are not well scalable.
In this paper, we present the Malasco system, which serves as a frame-
work for reusing existing, non-scalable matching systems on large-scale
ontologies. The results achieved with dierent combinations of partition-
ing and matching tools are discussed, and optimization techniques are
examined. It is shown that the loss of result quality when matching with
partitioned data can be reduced to less than 5% compared to matching
with unpartitioned data.