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- W3142700673 abstract "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." @default.
- W3142700673 created "2021-04-13" @default.
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- W3142700673 date "2021-01-01" @default.
- W3142700673 modified "2023-10-14" @default.
- W3142700673 title "HSEarch: Semantic Search System for Workplace Accident Reports" @default.
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- W3142700673 doi "https://doi.org/10.1007/978-3-030-72240-1_57" @default.
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