HSEarch: semantic search system for workplace accident reports
Emrah Inan, Paul Thompson, Tim Yates, Sophia Ananiadou
TL;DR
HSEarch is a semantic search engine tailored for workplace accident reports in the construction industry, enhancing document exploration and knowledge retrieval through text mining techniques.
Contribution
It introduces a novel, interactive semantic search system that improves upon previous methods by enabling systematic review and exploration of accident reports.
Findings
Enhanced search efficiency for accident reports
Improved user interaction and exploration capabilities
Facilitated systematic review of documents
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.
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