Framework and Schema for Semantic Web Knowledge Bases

The goal of our research is to provide scalable and efficient solutions for RDF knowledge management. There is significant research concerning schemata and tools for RDF storage and efficient querying. There is also significant research into ontology design, representation, extraction and alignment, and into representing uncertainty in ontologies. However, there are not efficient and scalable solutions that handle knowledge inference and uncertainty. Existing solutions for efficient RDF storage and querying do not provide for efficient inference queries. There are solutions for querying inference but they are not efficient or scalable. There are solutions for uncertainty reasoning but they are even less efficient and scalable. Our goal is to provide a solution that supports knowledge inference, uncertainty reasoning, Bayesian networks and ontology alignment without sacrificing efficiency and scalability.