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. Categories and Subject Descriptors I.2.4 [Artificial Intelligence]: Knowledge Representation Formalisms and Methods ? representation languages H.3.4 [Information Storage and Retrieval]: Systems and Software ? Performance Evaluation General Terms Experimentation, Measurement, Performance. Keywords Semantic Web, Knowledge Base System, Evaluation, Benchmark, DAML+OIL.