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dc.contributor.authorLechtenberg, Fabian
dc.contributor.authorFarreres de la Morena, Xavier
dc.contributor.authorSomoza Tornos, Ana
dc.contributor.authorPacheco López, Adrian
dc.contributor.authorEspuña Camarasa, Antonio
dc.contributor.authorGraells Sobré, Moisès
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Química
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Enginyeria de Processos Químics
dc.date.accessioned2022-05-05T11:11:36Z
dc.date.available2022-05-05T11:11:36Z
dc.date.issued2021
dc.identifier.citationLechtenberg, F. [et al.]. Towards automated information retrieval of process data and knowledge from academic databases. A: European Symposium on Computer Aided Process Engineering. "31st European Symposium on Computer Aided Process Engineering, Volume 50 1st Edition". 2021, p. 983-989. ISBN 9780323885065. DOI 10.1016/B978-0-323-88506-5.50152-2.
dc.identifier.isbn9780323885065
dc.identifier.urihttp://hdl.handle.net/2117/366864
dc.description.abstractProcess modeling requires both data (chemical reaction yields, kinetic constants, cost estimates, environmental indicators, etc.) and knowledge (operation models and formulations, alternative processes and technologies, etc.). Searching in databases and published research may provide such information, but there is a lack of systematic methods and tools guiding this procedure. The present work describes and assesses an information retrieval methodology that is part of a proposed retrieval and extraction cycle addressing this problem. Two query construction methods for sampling academic databases are proposed, assessed and compared. Departing from a seed corpus of a limited number of papers, Scopus® is used as an academic database to retrieve literature containing information associated with pyrolysis processes of waste plastic. It is found that, with minimal human intervention, the methodology is able to return a ranked list of candidate documents that have a considerable (linguistic) relevance.
dc.format.extent7 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria química
dc.subject.lcshData mining
dc.subject.otherInformation retrieval
dc.subject.otherBig data
dc.subject.otherText mining
dc.subject.otherAcademic databases
dc.subject.otherWaste-to-resource
dc.titleTowards automated information retrieval of process data and knowledge from academic databases
dc.typeConference lecture
dc.subject.lemacMineria de dades
dc.contributor.groupUniversitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural
dc.contributor.groupUniversitat Politècnica de Catalunya. CEPIMA - Center for Process and Environment Engineering
dc.identifier.doi10.1016/B978-0-323-88506-5.50152-2
dc.rights.accessOpen Access
local.identifier.drac31867577
dc.description.versionPostprint (published version)
local.citation.authorLechtenberg, F.; Farreres, J.; Somoza, A.; Pacheco, A.; Espuña, A.; Graells, M.
local.citation.contributorEuropean Symposium on Computer Aided Process Engineering
local.citation.publicationName31st European Symposium on Computer Aided Process Engineering, Volume 50 1st Edition
local.citation.startingPage983
local.citation.endingPage989


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