HSEarch: semantic search system for workplace accident reports
This system addresses the need for more efficient document retrieval in the construction industry, though it is incremental compared to previous text mining-driven search engines.
The authors tackled the problem of efficiently finding relevant information in workplace accident reports by developing HSEarch, a semantic search system for the construction industry that uses text mining to enable faceted and interactive exploration, resulting in improved user ability to systematically review and locate knowledge.
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.