Abstract. Semantic Web Services were developed with the goal of automating the integration of business processes on the Web. The main idea is to express the functionality of the se...
When transforming data one often wants certain information in the data source to be preserved, i.e., we identify parts of the source data and require these parts to be transformed...
Data mining focuses on the development of methods and algorithms for such tasks as classification, clustering, rule induction, and discovery of associations. In the database fiel...
With the increasing development of real applications using Semantic Web Technologies, it is necessary to provide scalable and efficient ontology querying and reasoning systems. In ...
The database community is on a constant quest for better integration of data management and knowledge management. Recently, with the increasing use of ontology in various applicat...