  Semantic search engines, which integrate the output of text mining (TM)
methods, can significantly increase the ease and efficiency of finding relevant
documents and locating important information within them. We present a novel
search engine for the construction industry, HSEarch
(http://www.nactem.ac.uk/hse/), which uses TM methods to provide
semantically-enhanced, faceted search over a repository of workplace accident
reports. Compared to previous TM-driven search engines for the construction
industry, HSEarch provides a more interactive means for users to explore the
contents of the repository, to review documents more systematically and to
locate relevant knowledge within them.
