Schema Evolution publication categorizer

With networked information access to heterogeneous data sources, the problem of terminology provision and interoperability of controlled vocabulary schemes such as thesauri becomes increasingly urgent. Solutions are needed to improve the performance of full-text retrieval systems and to guide the design of controlled terminology schemes for use in structured data, including metadata. Thesauri are created in different languages, with different scope and points of view and at different levels of abstraction and detail, to accommodate access to a specific group of collections.

of our talk, we provide an annotated bibliography for this area of research, giving readers brief pointers on representative papers in each of the topics mentioned above. We did not attempt to compile a comprehensive bibliography and hence the list in this abstract is necessarily incomplete. Rather, we tried to sketch a map of the field, with some specific reference to help interested readers in their exploration of the work to-date.

As ontology development becomes a more ubiquitous and collaborative process, ontology
versioning and evolution becomes an important area of ontology research. The many similarities
between database-schema evolution and ontology evolution will allow us to build on the
extensive research in schema evolution. However, there are also important differences between
database schemas and ontologies. The differences stem from different usage paradigms, the
presence of explicit semantics, and different knowledge models. A lot of problems that existed