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to semi-automatically derive the evolution mapping between two schema versions
and to derive a corresponding instance-level mapping for instance migration. Sup-
port for propagating changes of XML schemas to dependent schemas or applications
have not yet been studied sufficiently.
Research on ontology evolution considers both the adoption of incremental
changes and the provision of new schema versions to specify several changes at
once. Several approaches have been proposed to semi-automatically determine Diff
evolution mappings by comparing two ontology versions. These mappings are usu-
ally represented by sets of simple or complex changes. While instance migration has
been considered to some extent, the propagation of ontology changes to dependent
ontologies/schemas, or applications have not yet found sufficient attention.
Despite recent progress, we therefore see a need for substantially more research
on schema evolution, also in areas not discussed in this chapter. For example, dis-
tributed architectures with many schemas and mappings need powerful mapping
and evolution support, e.g., to propagate changes of a data source schema to merged
(global) schemas. New challenges are also posed by dynamic settings such as
stream
systems
where the data to be analyzed may change its schema, e.g., by providing
new or changed attributes. A first approach in this area is
Fernandez-Moctezuma
et al. (
2009
). They propose certain extensions for schema consumers such as query
operators to deal with changed schemas.
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