HSEarch: Semantic Search System for Workplace Accident Reports
نویسندگان
چکیده
Semantic search engines, which integrate the output of text mining (TM) methods, can significantly increase ease and efficiency finding relevant documents locating important information within them. We present a novel engine for construction industry, HSEarch (http://www.nactem.ac.uk/hse/), uses TM methods to provide semantically-enhanced, faceted over repository workplace accident reports. Compared previous TM-driven engines provides more interactive means users explore contents repository, review systematically locate knowledge
منابع مشابه
Semantic Search Tool for Adverse Event Reports of Medical Devices
Signal detection is a critical activity carried out by US Food and Drug Administration (FDA) analysts as part of the agency's mission of public health protection, using large amount of data gathered in disparate formats. Much of this data is unstructured narrative text, limiting use of traditional data mining. Therefore, FDA analysts spend a significant time to locate appropriate documents befo...
متن کاملHSEARCH: fast and accurate protein sequence motif search and clustering
Protein motifs are conserved fragments occurred frequently in protein sequences. They have significant functions, such as active site of an enzyme. Search and clustering protein sequence motifs are computational intensive. Most existing methods are not fast enough to analyze large data sets for motif finding or achieve low accuracy for motif clustering. We present a new protein sequence motif f...
متن کاملWhy System Safety Professionals Should Read Accident Reports
System safety professionals, both researchers and practitioners, who regularly read accident reports reap important benefits. These benefits include an improved ability to separate myths from reality, including both myths about specific accidents and ones concerning accidents in general; an increased understanding of the consequences of unlikely events, which can help inform future designs; a g...
متن کاملPredictive Models from Accident Reports
There has been an enormous amount of resources spent on collecting data related to construction accidents but there are very few researches done on analyzing the collected data beyond trend analysis. This research is based on the premise that construction accident reports can be exploited much more than they currently are to obtain valuable information. Analyzing texts in accident reports in ad...
متن کاملA Technique for Showing Causal Arguments in Accident Reports
In the prototypical accident report, specific findings, particularly those related to causes and contributing factors, are usually written out explicitly and clearly. Also, the evidence upon which these findings are based is typically explained in detail. Often lacking, however, is any explicit discussion, description, or depiction of the arguments that connect the findings and the evidence. Th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2021
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-030-72240-1_57