From Faceted Taxonomy to Explainability: Operationalizing TAFNAVEGA With BPM-lite in Thesis and Dissertation Repositories.

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Title: From Faceted Taxonomy to Explainability: Operationalizing TAFNAVEGA With BPM-lite in Thesis and Dissertation Repositories.
Authors: Moreira dos Santos Maculan, Benildes Coura1 benildes@gmail.com, de Lima, Gercina Ângela1, Aganette, Elisângela Cristina1, Mafra Pereira, Frederico Cesar1, Marques, Francis Bento2, Marques, Yuri Bento3
Source: Knowledge Organization. Jun2026, Vol. 53 Issue 3, p1-16. 16p.
Subjects: Taxonomy, Information retrieval, Academic dissertations, Records management, Workflow management systems, Knowledge management, Institutional repositories
Abstract: This paper presents a socio-technical redesign of TAFNAVEGA to support its operation in thesis and dissertation repositories, guided by two principles: explainable information retrieval and lightweight vocabulary governance. The study adopts a qualitative, design-oriented approach structured in five phases: discovery and planning; terminological curation and modeling; operation of a lightweight Business Process Management approach (BPM-lite) workflow for indexing and controlled term inclusion; linking question to be answered (QR) to faceted combinations with core facet categories (CAFTE) to test explainability; and synthesis of the resulting artifacts. The results indicate reduced terminological ambiguity, improved retrieval explainability (i.e., "why an item was retrieved"), and the generation of minimal decision traces sufficient to support institutional curation without increasing bureaucratic overhead. The study demonstrates that repositories can function as knowledge organization ecosystems when they combine an operational faceted vocabulary, minimal curatorial roles, and a modular infrastructure. [ABSTRACT FROM AUTHOR]
Copyright of Knowledge Organization is the property of IMR Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: <searchLink fieldCode="DE" term="%22Taxonomy%22">Taxonomy</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Academic+dissertations%22">Academic dissertations</searchLink><br /><searchLink fieldCode="DE" term="%22Records+management%22">Records management</searchLink><br /><searchLink fieldCode="DE" term="%22Workflow+management+systems%22">Workflow management systems</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+management%22">Knowledge management</searchLink><br /><searchLink fieldCode="DE" term="%22Institutional+repositories%22">Institutional repositories</searchLink>
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  Data: This paper presents a socio-technical redesign of TAFNAVEGA to support its operation in thesis and dissertation repositories, guided by two principles: explainable information retrieval and lightweight vocabulary governance. The study adopts a qualitative, design-oriented approach structured in five phases: discovery and planning; terminological curation and modeling; operation of a lightweight Business Process Management approach (BPM-lite) workflow for indexing and controlled term inclusion; linking question to be answered (QR) to faceted combinations with core facet categories (CAFTE) to test explainability; and synthesis of the resulting artifacts. The results indicate reduced terminological ambiguity, improved retrieval explainability (i.e., "why an item was retrieved"), and the generation of minimal decision traces sufficient to support institutional curation without increasing bureaucratic overhead. The study demonstrates that repositories can function as knowledge organization ecosystems when they combine an operational faceted vocabulary, minimal curatorial roles, and a modular infrastructure. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Knowledge Organization is the property of IMR Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – SubjectFull: Information retrieval
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      – SubjectFull: Academic dissertations
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      – SubjectFull: Records management
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      – TitleFull: From Faceted Taxonomy to Explainability: Operationalizing TAFNAVEGA With BPM-lite in Thesis and Dissertation Repositories.
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              Text: Jun2026
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              Y: 2026
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