{"id":{"repo_id":"burgos","oai_identifier":"oai:riubu.ubu.es:10259/57"},"canonical_url":"https://search.dev.ndltd.org/etd/burgos/oai:riubu.ubu.es:10259/57","repository":{"repo_id":"burgos","name":"Universidad de Burgos","base_url":"https://riubu.ubu.es/oai/request"},"display":{"title":"Gestión del conocimiento en la generación de modelos ambientales","abstract":"La generación de modelos ambientales como proceso de Gestión del Conocimiento, se representa empleando modelización estructural interpretativa (grafos orientados o digrafos, basados en matrices binarias de relaciones contextuales de causalidad) y redes semánticas o conceptuales (enlaces estructurales funcionales de herencia de atributos entre células generadoras o entidades de acumulación de información). El conocimiento o parecer cierto y justificado, depende de un contexto facilitador; es alternativamente tácito o explícito, simbólicamente representable con una cinta de Möbius (objeto topológico unilátero). La correspondencia entre componentes semióticos fuertes del discurso gnoseológico y la modelización ambiental, confirma el proceso de Gestión del Conocimiento, donde el conocimiento tácito es compartido [(1) compartición del conocimiento tácito], creándose y justificándose conceptos o entidades abstractas [(2) creación de conceptos y (3) justificación de conceptos], que se relacionan y vinculan funcional o ecuacionalmente, mediante estructuras formales calibradas [(4) construcción de prototipos], luego verificadas y validadas [(5) nivelación cruzada de conceptos]. ____________________________________________ The generation of environmental models is a Knowledge Management process, represented by means of interpretative structural modeling. It applies oriented graphs based on binary matrices of the interaction between elements linked by contextual causality relationships. The knowledge representation may also be done by means of semantic networks of attributes inheritance founded on First Order Predicate Calculus. During the process, tacit knowledge is shared [(1) sharing tacit knowledge], and justified concepts or abstract entities are being created [(2) creating and (3) justifying concepts]. These entities can be related by functions or equations, and linked by means of calibrated formal structures [(4) building of prototypes], being finally verified and validated [(5) cross leveling knowledge]. Case studies and empirical applications are included proving the correspondence between strong semiotic components of Knowledge Management and steps or actions inherent to environmental modeling, confirming the hypothesis and showing the topological alternativeness between tacit and explicit knowledge","abstract_html":"La generación de modelos ambientales como proceso de Gestión del Conocimiento, se representa empleando modelización estructural interpretativa (grafos orientados o digrafos, basados en matrices binarias de relaciones contextuales de causalidad) y redes semánticas o conceptuales (enlaces estructurales funcionales de herencia de atributos entre células generadoras o entidades de acumulación de información). El conocimiento o parecer cierto y justificado, depende de un contexto facilitador; es alternativamente tácito o explícito, simbólicamente representable con una cinta de Möbius (objeto topológico unilátero). La correspondencia entre componentes semióticos fuertes del discurso gnoseológico y la modelización ambiental, confirma el proceso de Gestión del Conocimiento, donde el conocimiento tácito es compartido [(1) compartición del conocimiento tácito], creándose y justificándose conceptos o entidades abstractas [(2) creación de conceptos y (3) justificación de conceptos], que se relacionan y vinculan funcional o ecuacionalmente, mediante estructuras formales calibradas [(4) construcción de prototipos], luego verificadas y validadas [(5) nivelación cruzada de conceptos]. ____________________________________________ The generation of environmental models is a Knowledge Management process, represented by means of interpretative structural modeling. It applies oriented graphs based on binary matrices of the interaction between elements linked by contextual causality relationships. The knowledge representation may also be done by means of semantic networks of attributes inheritance founded on First Order Predicate Calculus. During the process, tacit knowledge is shared [(1) sharing tacit knowledge], and justified concepts or abstract entities are being created [(2) creating and (3) justifying concepts]. These entities can be related by functions or equations, and linked by means of calibrated formal structures [(4) building of prototypes], being finally verified and validated [(5) cross leveling knowledge]. Case studies and empirical applications are included proving the correspondence between strong semiotic components of Knowledge Management and steps or actions inherent to environmental modeling, confirming the hypothesis and showing the topological alternativeness between tacit and explicit knowledge","abstract_has_math":false,"creators":["Perera Blasig, Jorge Gustavo Horacio"],"institution":"Servicio de Publicaciones, Universidad de Burgos","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Sáiz Bárcena, Lourdes"],"committee_chairs":[],"committee_members":[],"year":2006,"date_issued":"2006","date_published":"2006","updated_at":"2026-07-24T01:26:43Z","subjects":["Gestión del conocimiento","Modelos ambientales","Lógica y matemática","Modelización estructural interpretativa","Knowledge Management","Environmental Models","Logic and Mathematics","Interpretative Structural Modeling","Semantic Networks"],"languages":["spa"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier.doi","label":"DOI","values":["10.36443/10259/57"],"render_values":[{"text":"10.36443/10259/57","href":"https://doi.org/10.36443/10259/57","code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/10259/57","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Sáiz Bárcena, Lourdes"]},{"key":"dc:contributor.other","label":"Dc Contributor Other","values":["Universidad de Burgos. 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El conocimiento o parecer cierto y justificado, depende de un contexto facilitador; es alternativamente tácito o explícito, simbólicamente representable con una cinta de Möbius (objeto topológico unilátero). La correspondencia entre componentes semióticos fuertes del discurso gnoseológico y la modelización ambiental, confirma el proceso de Gestión del Conocimiento, donde el conocimiento tácito es compartido [(1) compartición del conocimiento tácito], creándose y justificándose conceptos o entidades abstractas [(2) creación de conceptos y (3) justificación de conceptos], que se relacionan y vinculan funcional o ecuacionalmente, mediante estructuras formales calibradas [(4) construcción de prototipos], luego verificadas y validadas [(5) nivelación cruzada de conceptos]. ____________________________________________ The generation of environmental models is a Knowledge Management process, represented by means of interpretative structural modeling. It applies oriented graphs based on binary matrices of the interaction between elements linked by contextual causality relationships. The knowledge representation may also be done by means of semantic networks of attributes inheritance founded on First Order Predicate Calculus. During the process, tacit knowledge is shared [(1) sharing tacit knowledge], and justified concepts or abstract entities are being created [(2) creating and (3) justifying concepts]. These entities can be related by functions or equations, and linked by means of calibrated formal structures [(4) building of prototypes], being finally verified and validated [(5) cross leveling knowledge]. Case studies and empirical applications are included proving the correspondence between strong semiotic components of Knowledge Management and steps or actions inherent to environmental modeling, confirming the hypothesis and showing the topological alternativeness between tacit and explicit knowledge"]},{"key":"dc:format.mimetype","label":"Dc Format Mimetype","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Gestión del conocimiento en la generación de modelos ambientales"]}]}],"canonical_facts":{"dc:contributor.advisor":["Sáiz Bárcena, Lourdes"],"dc:contributor.other":["Universidad de Burgos. 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La correspondencia entre componentes semióticos fuertes del discurso gnoseológico y la modelización ambiental, confirma el proceso de Gestión del Conocimiento, donde el conocimiento tácito es compartido [(1) compartición del conocimiento tácito], creándose y justificándose conceptos o entidades abstractas [(2) creación de conceptos y (3) justificación de conceptos], que se relacionan y vinculan funcional o ecuacionalmente, mediante estructuras formales calibradas [(4) construcción de prototipos], luego verificadas y validadas [(5) nivelación cruzada de conceptos]. ____________________________________________ The generation of environmental models is a Knowledge Management process, represented by means of interpretative structural modeling. It applies oriented graphs based on binary matrices of the interaction between elements linked by contextual causality relationships. The knowledge representation may also be done by means of semantic networks of attributes inheritance founded on First Order Predicate Calculus. During the process, tacit knowledge is shared [(1) sharing tacit knowledge], and justified concepts or abstract entities are being created [(2) creating and (3) justifying concepts]. These entities can be related by functions or equations, and linked by means of calibrated formal structures [(4) building of prototypes], being finally verified and validated [(5) cross leveling knowledge]. Case studies and empirical applications are included proving the correspondence between strong semiotic components of Knowledge Management and steps or actions inherent to environmental modeling, confirming the hypothesis and showing the topological alternativeness between tacit and explicit knowledge"],"dc:format.mimetype":["application/pdf"],"dc:identifier.doi":["10.36443/10259/57"],"dc:identifier.uri":["http://hdl.handle.net/10259/57"],"dc:language.iso":["spa"],"dc:publisher":["Servicio de Publicaciones, Universidad de Burgos"],"dc:subject":["Gestión del conocimiento","Modelos ambientales","Lógica y matemática","Modelización estructural interpretativa","Knowledge Management","Environmental Models","Logic and Mathematics","Interpretative Structural Modeling","Semantic Networks"],"dc:title":["Gestión del conocimiento en la generación de modelos ambientales"],"dc:type":["info:eu-repo/semantics/doctoralThesis"]},"updated_at":"2026-07-24T01:26:43Z"}