As real world evolves, Infoboxes for Wikipedia subjects are updated to reflect the information changes in the real world, and there is a growing interest in the evolution history of subjects in the Wikipedia. Thus, the management of historical information and the efficiencies of queries for these temporal information have become the major concern.

In this paper, we introduce the Wikipedia Infobox temporal RDF knowledge base that constructed from the Wikipedia Infobox history dump, and evaluate the efficiencies of temporal queries based on the temporal knowledge base. Specifically, we evaluate temporal selection and temporal join queries based on different database systems with different indices, including MySQL B+ Tree, PostgreSQL B-Tree, and Interval Tree.