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While much research has been performed on query logs collected for major Web search engines, query log analysis to enhance search on smaller and more focused collections has attracted less attention. Our hypothesis is that an intranet search engine can be enhanced by adapting the search system to real users' search behaviour through exploiting its query logs. In this work we describe how a constantly adapting domain model can be used to identify and capture changes in intranet users' searchdoi:10.1109/wi-iat.2010.258 dblp:conf/webi/DignumKFKSBR10 fatcat:3w53gcrceffpfisvif7lv5jyzm