Combining DAML+OIL, XSLT and probabilistic logics for uncertain schema mappings in MIND
When distributed, heterogeneous digital libraries have to be integrated, one of the crucial tasks is to map between different schemas. As schemas may
have different granularities, and as schema attributes do not always match precisely, a general-purpose schema mapping approach requires support for uncertain mappings. In this paper we present one of the very few approaches for efining
and using uncertain schema mappings. We combine different technologies like DAML+OIL, probabilistic Datalog (since DAML+OILas similar ontology languageslacks rules) and XSLT for actually transforming queries and documents. This declarative approach is fully implemented in the project MIND (which develops methods for retrieval in networked multimedia digital libraries).
However, as DAML+OIL lacks some important features, the proposed approach is only a stepping stone for an integrated solution
In:Research and advanced technology for digital libraries : 7th European conference, ECDL 2003, Trondheim, Norway, August 17-22, 2003, proceedings. - Berlin : Springer, 2003. - ISBN 3-540-40726-X, S. 194-206