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dc.contributor.authorMartínez Rojas, María
dc.contributor.authorMartín Antolín, Rubén
dc.contributor.authorSalguero Caparros, Francisco
dc.contributor.authorRubio Romero, Juan Carlos
dc.date.accessioned2021-09-30T08:26:44Z
dc.date.available2021-09-30T08:26:44Z
dc.date.issued2020-12
dc.identifier.citationMartínez Rojas, M., Martín Antolín, R., Salguero Caparros, F. y Rubio Romero, J. C. (2020). Management of construction Safety and Health Plans based on automated content analysis. Automation in Construction, 120, 103362. https://doi.org/10.1016/j.autcon.2020.103362es
dc.identifier.issn09265805
dc.identifier.urihttp://hdl.handle.net/20.500.12251/1940
dc.description.abstractSafety management in the construction sector continues to be of great concern due to the high accident rate. Enormous legislative efforts have been made to minimize this problem. In Europe, the Directive 92/57/EEC, which establishes a mandatory safety and health requirements, defines the Safety and Health Plan. This paper contains a methodology for automatically extracting structured relevant information from this textual document. Such plans are crucial to provide safety in this sector. However, current documents are often enlarged with nonessential information, while the most relevant information is missing or difficult to locate. The information extracted by our methodology makes it easier for Safety and Health Plans to be validated and approved at an early stage, as well as facilitating their later use and updating. The main steps of this methodology are: i) the definition of the relevant content to be extracted as seven items, in collaboration with experts in the area; ii) text preprocessing and enrichment using existing software resources for the natural language employed; and iii) automated content analysis for extracting information, on the basis of a collection of previously established rules for identifying the content defined in the first step. The output is a detailed and structured report containing the percentage of relevant information identified, as well as the desired items of information. To illustrate and validate our methodology, we have implemented and applied it to 50 real Safety and Health Plans. As a result, our system was able to identify most of the required information for five of the seven items in all of these plans. In addition, we have been able to detect the problems in the textual plan that caused the missing information in the other two items, which will be corrected in future developments.es
dc.language.isoenges
dc.publisherElsevier B.V.es
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleManagement of construction Safety and Health Plans based on automated content analysises
dc.typearticlees
dc.identifier.doi10.1016/j.autcon.2020.103362
dc.identifier.urlhttps://doi.org/10.1016/j.autcon.2020.103362es
dc.journal.titleAutomation in Constructiones
dc.rights.accessRightsopenAccesses
dc.subject.keywordPlan de Seguridad y Saludes
dc.subject.keywordGestión de la prevenciónes
dc.subject.keywordNormativa construcciónes
dc.subject.keywordGestión documentales
dc.subject.unesco6109.01 Prevención de Accidenteses
dc.subject.unesco5312.03 Construcciónes
dc.volume.number120es
dc.item.number103362es


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