Schema Evolution publication categorizer

Automating schema matching is challenging. Previous
approaches (e.g. [9, 5]) to automating schema matching
focus on computing direct element matches between two
schemas. Schemas, however, rarelymatc h directly. Thus, to
complete the task of schema matching, we must also compute
indirect element matches. In this paper, we present
a framework for generating direct as well as manyindirect
element matches between a source schema and a target
schema. Recognizing expected data values associated with
schema elements and applying schema-structure heuristics
are the keyideas to computing indirect matches. Experiments
we have conducted over several real-world application
domains show encouraging results, yielding over 90%
precision and recall for both direct and indirect element
matches.