Schema Evolution publication categorizer

Solving the heterogeneity problems between semantically enriched
data can only be done by having accurate alignments between the underlying ontologies.
To obtain 100% accuracy of these alignments the human user (i.e. the
domain expert) has to be kept in the loop in order to validate the mappings part of
these alignments. Since creating mappings between ontologies in a manual fashion
can be an error prone and time consuming task, our aim is to provide semiautomatic
mechanisms that reduce the human effort to simple validations and
choices. Furthermore we propose a mechanism for transforming domain experts
inputs placed in graphical interface in formal representations of the semantic relationships
between ontologies. The domain expert can choose between different
views, each of them displaying certain relationships and entities in the ontologies,
used for generating different types of mappings. At each step suggestion
algorithms propose possible solutions for creating new mappings.