Mapping Discovery Over Revealing Schemas

In a world of wide-scale information sharing, data are described in different formats, i.e. data structures, values and schemas. Querying such sources entails techniques that can bridge the data formats. Some existing techniques deal with schema mapping and view complementary aspects of the problem. Important ones, consider producing all the possible mappings for a pair of schemas, insinuating accompanying semantics in the mappings and adapting correct mappings as schemas evolve. In this work, we consider the problem of discovering mappings as schemas of autonomous sources are gradually revealed. Using as an example setting an overlay of peer databases, we present a schema mapping solution that discovers correct mappings as peer schemas are gradually revealed to remote peers. Mapping discovery is schema-centric and incorporates new semantics as they are unveiled. Mapping experience is reused and possible mappings are ranked so that the best choice is presented to the user. The experimental study confirms the suitability of the proposed solution to dynamic settings of heterogeneous sources.

Ontology Mapping Based on Domain Framework

For service-oriented software engineering, the basic problem faced is the sharing and interaction of information between software, and in essence, is to make the software to communicate from the semantic level. Ontology is as a carrier of information and expression methods and is used to describe software entities. We may want to take into account the reuse of ontology modules, meanwhile different ontology libraries may face ontology heterogeneity and other problems, and all the above problems can be resolved through ontology mapping. Based on the process of ontology construction, the ways of presenting information by ontology and the reference to the practical process of ontology mapping, we put forward a framework of ontology mapping and ontology mapping algorithm which analyze from the ontology concept, instance, structure, hierarchy, and while take advantage of WordNet thesaurus and manual adjustments and other means to improve the accuracy of mapping discovery and mapping process.