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The Web of Data is growing in popularity and dimension, and entities are gaining importance in many research fields. In this paper, we explore the use of entities that can be extracted from a query log to enhance query recommendation. In particular, we use a large query log recorded by the Europeana portal, a central access point to the descriptions of more than 20 million cultural heritage objects, and we extend a state-of-the-art query recommendation algorithm to take into account thedoi:10.1145/2480362.2480540 dblp:conf/sac/CeccarelliGLNP13 fatcat:jxvzhv2kqzhzxd3vhokhlamnei