Choosing the best knowledge base system for large semantic web applications

Authors:
Yuanbo Guo;Zhengxiang Pan;Jeff Heflin
Affiliations:
Lehigh University, Bethlehem, PA;Lehigh University, Bethlehem, PA;Lehigh University, Bethlehem, PA
Venue:
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
Year:
2004

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Abstract

We present an evaluation of four knowledge base systems with respect to use in large Semantic Web applications. We discuss the performance of each system. In particular, we show that existing systems need to place a greater emphasis on scalability.