SWAT abstracts 2009
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Z. Pan, Y. Li, and J. Heflin. A SemanticWeb Knowledge Base System that Supports Large Scale Data Integration. In Proc. of the 5th International Workshop on Scalable Semantic Web Knowledge Base Systems (SSWS'09)
A true SemanticWeb knowledge base system must scale both in terms of number of ontologies and quantity of data. It should also support reasoning using different points of view about the meanings and relationships of concepts and roles. We present our DLDB3 system that supports large scale data integration, and is provably sound and complete on a fragment of OWL DL when answering extensional conjunctive queries. By delegating TBox reasoning to a DL reasoner, we focus on the design of the table schema, database views, and algorithms that achieve essential ABox reasoning over an RDBMS. The ABox inferences from cyclic axioms are materialized at load time, while other inferences are computed at query time. Instance data are directly loaded into the database tables.We evaluate the system using synthetic benchmarks and compare performances with other systems.We also validate our approach on data integration using multiple ontologies and data sources.
Y. Yu, D. Hillman, B. Setio and J. Heflin. A Case Study in Integrating Multiple E-commerce Standards via Semantic Web Technology. In Proc. of the 8th International Semantic Web Conference (ISWC2009), Washington, DC., USA, Springer (c), 2009.
Internet business-to-business transactions present great challenges in merging information from different sources. In this paper we describe a project to integrate four representative commercial classification systems with the Federal Cataloging System (FCS). The FCS is used by the US Defense Logistics Agency to name, describe and classify all items under inventory control by the DoD. Our approach uses the ECCMA Open Technical Dictionary (eOTD) as a common vocabulary to accommodate all different classifications. We create a semantic bridging ontology between each classification and the eOTD to describe their logical relationships in OWL DL. The essential idea is that since each classification has formal definitions in a common vocabulary, we can use subsumption to automatically integrate them, thus mitigating the need for pairwise mappings. Furthermore our system provides an interactive interface to let users choose and browse the results and more importantly it can translate catalogs that commit to these classifications using compiled mapping results.