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                            [identifier] => oai:ojs.www2.marilia.unesp.br:article/12659
                            [datestamp] => 2022-12-16T18:40:37Z
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                                (
                                    [title] => The Domain Analysis Clinic: A Singular Advance in Domain Analysis for Knowledge Organization
                                    [creator] => Array
                                        (
                                            [0] => Smiraglia, Richard
                                            [1] => Smiraglia, Richard
                                        )

                                    [subject] => Array
                                        (
                                            [0] => domain analysis
                                            [1] => clinic
                                            [2] => domain analysis clinic
                                            [3] => Institute for Knowledge Organization and Structure
                                            [4] => DAC
                                            [5] => meta-analysis
                                        )

                                    [description] => Domain analysis is a primary approach to the representation of shared ontological bases in knowledge organization. The growth of domain analysis as a paradigm is demonstrated over a period of two decades. The Domain Analysis Clinic, or DAC is a core methodology generated for focused concept discovery combining meta-analytical theoretical research with the formation of domain-specific knowledge organization systems. The emergence of the DAC as a tool for meta-analysis and discourse analysis has demonstrated the efficacy of focused concept formation for taxonomic representation as well as for theoretical discovery in KO. The evidence presented here strongly directly suggests the continued honing and maturity of domain analysis as a paradigm in KO.
                                    [publisher] => Faculdade de Filosofia e Ciências - UNESP-Marília
                                    [date] => 2022-12-16
                                    [type] => Array
                                        (
                                            [0] => info:eu-repo/semantics/article
                                            [1] => info:eu-repo/semantics/publishedVersion
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                                    [format] => application/pdf
                                    [identifier] => Array
                                        (
                                            [0] => https://revistas.marilia.unesp.br/index.php/bjis/article/view/12659
                                            [1] => 10.36311/1981-1640.2022.v16.e02160
                                        )

                                    [source] => Array
                                        (
                                            [0] => Brazilian Journal of Information Science: Research Trends; Vol. 16 (2022): Continuous publication; e02160
                                            [1] => Brazilian Journal of Information Science: Research Trends; Vol. 16 (2022): Publicación continua; e02160
                                            [2] => Brazilian Journal of Information Science: research trends; v. 16 (2022): Publicação contínua; e02160
                                            [3] => 1981-1640
                                        )

                                    [language] => eng
                                    [relation] => https://revistas.marilia.unesp.br/index.php/bjis/article/view/12659/10049
                                    [rights] => Array
                                        (
                                            [0] => Copyright (c) 2022 Richard Smiraglia
                                            [1] => https://creativecommons.org/licenses/by-sa/4.0
                                        )

                                )

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