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Constructed Wetlands (CWs) are a nature-based solution for the treatment of wastewater. The CWetlands - the Constructed Wetlands Knowledge Platform - intends to help understand how CWs can support achieving the Sustainable Development Goals. The platform is based on more than 100 attributes of CWs including criteria for design criteria, operation, efficiency, climate and other geographical factors. This study aims at developing an attribute value extraction mechanism tool in R to extract meaningful information from peer-reviewed journal articles in a reliable and fast way. •The tool focuses on the extraction of eighteen different extractable attributes gathered in 4 classes, which describe the main characteristics of CW systems.•The process contains 4 sub-processes: 1-2) the papers are accessed and pre-processed, 3) the attributes are extracted by two data mining techniques: Keyword Match and Web Scrap, and 4) the values are exported to a database.•For the development and testing of the tool, 13 articles were used. The tool achieved a mean success rate of 79% in 30 min; less compared with the 480 min needed with a manual approach. In further versions, the tool is expected to obtain a higher success rate in all attributes.
Pubmed ID: 31193277
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View all literature mentionsWelcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
