Schema Evolution publication categorizer

Ontologies have been established for knowledge
sharing and are widely used as a means for conceptually
structuring domains of interest. With
the growing usage of ontologies, the problem of
overlapping knowledge in a common domain becomes
critical. We propose the new method
FCA–MERGE for merging ontologies following a
bottom-up approach which offers a structural description
of the merging process. The method
is guided by application-specific instances of the
given source ontologies, that are to be merged. We
apply techniques from natural language processing
and formal concept analysis to derive a lattice of
concepts as a structural result of FCA–MERGE.
The generated result is then explored and transformed
into the merged ontology with human interaction.