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dc.contributor.authorHalabi Echeverry, Ana X.
dc.contributor.authorVergara Silva, Juan Carlos
dc.contributor.authorOrtiz Basto, German A.
dc.date.issued2019-01-01
dc.identifier.citationHalabi Echeverry A.X., Vergara Silva J.C. & Ortíz Basto G.A. (2019) Towards a Semantic Intelligence to Support Seaport Governance in Environmental and Ecological Sustainability. Lecture Notes in Computer Science, 11756, 171-186es_CO
dc.identifier.issn0302-9743
dc.identifier.otherhttps://link.springer.com/epdf/10.1007/978-3-030-31140-7_11?shared_access_token=csK_zqfN0PcgRUXywkjTYPe4RwlQNchNByi7wbcMAY7GIJgb5yoeN0ygLNVcAla319lxNq-5a5gonuWGM8cn5T6LuqUCHpCxZAmgMDEMeeFUeszns_Ubq-EbfP_ZqjZH1dyDU-veeJ7BJ9ImH2F2mg%3D%3D
dc.identifier.urihttp://hdl.handle.net/10818/48464
dc.description16 páginas
dc.description.abstractTaking into account that seaport governance in environmental and ecological sustainability becomes a seaport function of growing public interest, environmental and ecological factors are criteria that will enter into operational choices, capital investments, and cargo routing decisions. Environmental influences as well as factors of institutional governance (regulations and envi- ronmental management practices) may lead to common interests among the members. We propose the use of a semantic-based approach to further look at how the knowledge needed to understand the effects observed in seaport decision-making tackle the difficulty of sharing information and finding the best possible representations (model) in order to aid collective decision-making process. The benefits of the semantic use of terminology relevant for the port governance are envisaged in which modeling an ontology will require consensus among domain experts from many and different port areas and the complexity of reaching consensus when multiple conflicting views may exist can threaten consistency across the systemsen
dc.formatapplication/pdfes_CO
dc.language.isoenges_CO
dc.publisherLecture Notes in Computer Sciencees_CO
dc.relation.ispartofseriesLecture Notes in Computer Science, 11756, 171-186
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSeaport governanceen
dc.subjectSemantic intelligenceen
dc.subjectEnvironmental and ecological sustainabilityen
dc.titleTowards a Semantic Intelligence to Support Seaport Governance in Environmental and Ecological Sustainabilityen
dc.typejournal articlees_CO
dc.type.hasVersionpublishedVersiones_CO
dc.rights.accessRightsopenAccess
dc.identifier.doi10.1007/978-3-030-31140-7_11


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Attribution-NonCommercial-NoDerivatives 4.0 InternacionalExcept where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional