Array
(
    [0] => stdClass Object
        (
            [journal] => stdClass Object
                (
                    [id_jnl] => 97
                )

        )

    [1] => stdClass Object
        (
            [section] => stdClass Object
                (
                    [section] => 999
                )

        )

    [2] => stdClass Object
        (
            [title] => Array
                (
                    [0] => BibLex: AI and NLP algorithm applied to keyword indexing into Biblat system@en
                    [1] => BibLex: aplicación práctica de IA y PLN para la asignación de palabras clave en registros de Biblat@es
                )

        )

    [3] => stdClass Object
        (
            [abstract] => Array
                (
                    [0] => Applied artificial intelligence study describing the integration of the BibLex algorithm into the indexing process of scientific articles published in Latin American journals indexed by the Biblat portal. BibLex is an algorithm designed to automate keyword assignment by combining classical natural language processing (NLP) techniques, using the NLTK library, with Google´s generative artificial intelligence model (GenIA), Gemini. Both approaches enable the analysis of the linguistic and semantic corpus of documents, generating a set of contextualized terms. BibLex is conceived as an effective solution to reduce manual indexing time, increase document processing capacity, and decrease terminological dispersion. The results suggest that integrating NLP with GenIA is technically feasible, cost-effective, and timely for addressing indexing challenges efficiently and without compromising terminological quality. The adopted hybrid approach opens possibilities automating technical processes in library environments.@en
                    [1] => Estudio aplicado de inteligencia artificial que describe la integración del algoritmo BibLex al proceso de indización de artículos científicos, publicados en revistas latinoamericanas de acceso abierto indizadas en el portal Biblat. BibLex es un algoritmo diseñado para automatizar la asignación de palabras clave, combina técnicas clásicas de procesamiento de lenguaje natural (PLN), a través de la librería NLTK, con el modelo de inteligencia artificial generativa (GenIA) Gemini de Google. Ambos enfoques permiten analizar corpus lingüístico y semántico de los documentos, generando un conjunto de términos contextualizados. Los resultados sugieren que la integración de PLN con GenIA es técnicamente viable, asequible y oportuna para responder a los desafíos de la indización bibliotecológica de manera eficiente y sin comprometer la calidad terminológica. El enfoque híbrido adoptado abre posibilidades para la automatización de procesos técnicos en los entornos bibliotecarios.@es
                )

        )

    [4] => stdClass Object
        (
            [author] => Array
                (
                    [0] => Patricia Garrido Villegas
                    [1] => Edgar Durán Muñoz
                    [2] => Manuel Alejandro Flores Chávez
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => Automated indexing@en
                    [1] => Biblex@en
                    [2] => Natural language processing (nlp)@en
                    [3] => Generative artificial intelligence (genia)@en
                    [4] => Biblat@en
                    [5] => Clase@en
                    [6] => Periódica@en
                    [7] => Indización automatizada@es
                    [8] => Biblex@es
                    [9] => Procesamiento de lenguaje natural (pln)@es
                    [10] => Inteligencia artificial generativa (genia)@es
                    [11] => Biblat@es
                    [12] => Clase@es
                    [13] => Periódica@es
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 31
                    [nr] => 1/2
                    [year] => 2025
                    [theme] => 
                )

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2025-12-26
                )

        )

    [8] => stdClass Object
        (
            [DOI] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.54886/scire.v31i1/2.5084
                                )

                        )

                )

        )

    [9] => stdClass Object
        (
            [http] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://www.ibersid.eu/ojs/index.php/scire/article/view/5084
                                )

                        )

                    [1] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://www.ibersid.eu/ojs/index.php/scire/article/view/5084/4431
                                )

                        )

                )

        )

    [10] => stdClass Object
        (
            [language] => Array
                (
                    [0] => es
                )

        )

    [11] => stdClass Object
        (
            [license] => Array
                (
                    [0] => RESERVED
                    [1] => by-nc-nd/4.0
                )

        )

)