Schema Evolution publication categorizer

One of the major problems of large scale, distributed and evolving ontologies
is the potential introduction of inconsistencies. In this paper we survey
four different approaches to handling inconsistency in DL-based ontologies: consistent
ontology evolution, repairing inconsistencies, reasoning in the presence of
inconsistencies and multi-version reasoning. We present a common formal basis
for all of them, and use this common basis to compare these approaches. We
discuss the different requirements for each of these methods, the conditions under

Ontology mapping is important when working with more than one
ontology. Typically similarity considerations are the basis for this. In this paper
an approach to integrate various similarity methods is presented. In brief, we determine
similarity through rules which have been encoded by ontology experts.
These rules are then combined for one overall result. Several boosting small actions
are added. All this is thoroughly evaluated with very promising results.