The TOP Database Model − Taxonomy‚ Object−Orientation and Probability

Abstract

We propose to extend object-oriented databases by a language to specify taxonomic knowledge over so-called t-classes, which are compatible with, but more expressive than existent ISA-hierarchies. Separated from, but closely coupled with such taxonomic knowledge, we offer uncertain constraints in form of a probabilistic language. The information content of such taxonomic and probabilistic knowledge can be visualized naturally by special Hasse-diagrams. A project to build a TOP-prototype using object-oriented technology like OMT and O₂, deductive technology like Datalog_S and CORAL and uncertain technology from our DUCK experience is under way.