Schema Evolution publication categorizer

Relational databases have been designed to store high volumes of data and to provide an efficient query interface. Ontologies are geared towards capturing domain knowledge, annotations, and to offer high-level, machine-processable views of data and metadata. The complementary strengths and weaknesses of these data models motivate the research effort we present in this paper. The goal of this work is to bridge relational and ontological worlds, in order to leverage the efficiency and scalability of relational technologies to support an ontological, high level view of data and metadata.