Abstract
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.
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Pan, Z. (2006). Towards a Global Scale Semantic Web. In: Cruz, I., et al. The Semantic Web - ISWC 2006. ISWC 2006. Lecture Notes in Computer Science, vol 4273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11926078_80
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DOI: https://doi.org/10.1007/11926078_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49029-6
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