Loading data into description reasoners
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
An investigation into the feasibility of the semantic web
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
LUBM: A benchmark for OWL knowledge base systems
Web Semantics: Science, Services and Agents on the World Wide Web
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By transforming the Web from a collection of documents to a collection of semantically rich data sources, the Semantic Web promises an unprecedented benefit of a global knowledge infrastructure. My PhD research will try to help make that happen at a global scale by doing the following proposed work: 1. Design and implement a highly scalable Semantic Web knowledge base system by exploiting modern relational database technologies combined with the state-of-the-art description logics reasoners. 2. Build and empirically verify a framework that handles ontology evolution and the reuse of data on top of the perspective theory [1]. This framework should be able to relieve inconsistency and heterogeneity in a global scale Semantic Web. 3. Systematically evaluate the resulting system’s capability and scalability in processing, integrating and querying data under the real world environment.