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Posts tagged #KnowledgeOrganization

#Storytelling #NarrativeLearning #KnowledgeOrganization #HumanLearning #PowerOfStories #StorytellingTechniques #EducationalVideo #LearningStrategies #NarrativeStructure #NeuroScience #NeuroDivergent #NeuroCiencia #Neuro #Neurology #NeuroSurgery #NeuroPlasticity #NeuroCirurgia #ThePowerOfNarrative

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#Storytelling #NarrativeLearning #KnowledgeOrganization #HumanLearning #PowerOfStories #StorytellingTechniques #EducationalVideo #LearningStrategies #NarrativeStructure #NeuroScience #NeuroDivergent #NeuroCiencia #Neuro #Neurology #NeuroSurgery #NeuroPlasticity #NeuroCirurgia #ThePowerOfNarrative

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#Storytelling #NarrativeLearning #KnowledgeOrganization #HumanLearning #PowerOfStories #StorytellingTechniques #EducationalVideo #LearningStrategies #NarrativeStructure #NeuroScience #NeuroDivergent #NeuroCiencia #Neuro #Neurology #NeuroSurgery #NeuroPlasticity #NeuroCirurgia #ThePowerOfNarrative

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#Storytelling #NarrativeLearning #KnowledgeOrganization #HumanLearning #PowerOfStories #StorytellingTechniques #EducationalVideo #LearningStrategies #NarrativeStructure #NeuroScience #NeuroDivergent #NeuroCiencia #Neuro #Neurology #NeuroSurgery #NeuroPlasticity #NeuroCirurgia #ThePowerOfNarrative

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#Storytelling #NarrativeLearning #KnowledgeOrganization #HumanLearning #PowerOfStories #StorytellingTechniques #EducationalVideo #LearningStrategies #NarrativeStructure #NeuroScience #NeuroDivergent #NeuroCiencia #Neuro #Neurology #NeuroSurgery #NeuroPlasticity #NeuroCirurgia #ThePowerOfNarrative

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At the conference, @angelosalatino.bsky.social reviewed existing KOSs for academic disciplines and discussed how AI can help build them.
He asked: How can we integrate existing KOSs of research fields?
It's an important question for both KO and scientometrics.

#AI #KnowledgeOrganization #ISKOUK

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Potemkin Understanding in Large Language Models Large language models (LLMs) are regularly evaluated using benchmark datasets. But what justifies making inferences about an LLM's capabilities based on its answers to a curated set of questions? This...

At the conference, Ronald Siebes discussed the limitations of LLMs. They can explain various issues well but often struggle to apply this knowledge. He emphasized the important role of symbolic AI in improving their performance. See also:
doi.org/10.48550/arX...

#AI #KnowledgeOrganization #ISKOUK

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Programme

Today is the ISKO UK conference "Knowledge Organization in the Age of AI." The programme is here: iskouk.org/isko-uk-conf...

#AI #KnowledgeOrganization #Conference #ISKOUK

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#Storytelling #NarrativeLearning #KnowledgeOrganization #HumanLearning #PowerOfStories #StorytellingTechniques #EducationalVideo #LearningStrategies #NarrativeStructure #NeuroScience #NeuroDivergent #NeuroCiencia #Neuro #Neurology #NeuroSurgery #NeuroPlasticity #NeuroCirurgia #ThePowerOfNarrative

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#Storytelling #NarrativeLearning #KnowledgeOrganization #HumanLearning #PowerOfStories #StorytellingTechniques #EducationalVideo #LearningStrategies #NarrativeStructure #NeuroScience #NeuroDivergent #NeuroCiencia #Neuro #Neurology #NeuroSurgery #NeuroPlasticity #NeuroCirurgia #ThePowerOfNarrative

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#Storytelling #NarrativeLearning #KnowledgeOrganization #HumanLearning #PowerOfStories #StorytellingTechniques #EducationalVideo #LearningStrategies #NarrativeStructure #NeuroScience #NeuroDivergent #NeuroCiencia #Neuro #Neurology #NeuroSurgery #NeuroPlasticity #NeuroCirurgia #ThePowerOfNarrative

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#Storytelling #NarrativeLearning #KnowledgeOrganization #HumanLearning #PowerOfStories #StorytellingTechniques #EducationalVideo #LearningStrategies #NarrativeStructure #NeuroScience #NeuroDivergent #NeuroCiencia #Neuro #Neurology #NeuroSurgery #NeuroPlasticity #NeuroCirurgia #ThePowerOfNarrative

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#Storytelling #NarrativeLearning #KnowledgeOrganization #HumanLearning #PowerOfStories #StorytellingTechniques #EducationalVideo #LearningStrategies #NarrativeStructure #NeuroScience #NeuroDivergent #NeuroCiencia #Neuro #Neurology #NeuroSurgery #NeuroPlasticity #NeuroCirurgia #ThePowerOfNarrative

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Anyways, a snapshot of my latest research in #KnowledgeOrganization: based on my qualitative coding scheme, here is a ranked set of 26 concepts most commonly found crosslinguistically AND most representable as a single, unambiguous icon. I am questioning whether 👅👶and⚡️are actually non-relational.

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$3.2M Mellon grant boosts Native Hawaiian knowledge at UH Mānoa Library | University of Hawaiʻi System News The grant will integrate Native Hawaiian knowledge into library collections, preserving cultural heritage and enhancing accessibility.

Excited for the continued work of creating a Hawaiian knowledge organization system and improving our description through the Kahoʻiwai Mellon Grant!! Honored to be contributing to this work. #knowledgeorganization #critcat #controlledvocabularies www.hawaii.edu/news/2025/01...

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NISO Plus Baltimore 2025: Evolving Metadata in the Age of AI: Enha... View more about this event at NISO Plus Baltimore 2025

📅 Register here: nisoplusbaltimore25.sched.com/event/1olJ0/...

#AIinLibraries #MetadataOptimization #KnowledgeOrganization #LibraryInnovation #UserExperience

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Great afternoon with F. Vezzani at #unipd talking about #bistro, #terminology #collections and #databases. 😊🥰

Thank you to all students for your participation! ❤️

#terminology #datacategory #knowledgetransfer #knowledgeorganization
@euracling.bsky.social

📷 F. Vezzani

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Bibliographic data and metadata, alongside their supporting appara-tuses, such as data fields, card catalogs, and controlled vocabularies,are important because of what they tell us and also because of whatthey do not. As Sarah Werner points out, the stakes in these descrip-tions are higher than just simple naming and labeling: the categoriesand classifications used in the description of material artifacts are notneutral, and “we cannot do the work that we need to do for the futureof bibliography if we cannot expand who [and what] is included in thatwork.”1 In a queer utopia, we would not assign labels to resources(bibliographic and otherwise) as we do currently. 2 We would be freefrom the assignation of others’ words to our worlds. I am thinkinghere of Library of Congress subject headings such as “Indian gays,”“Female impersonators,” “Gay men—Conduct of life,” and “Sexualminorities.” Yet, until a truly queer world exists (or in lieu thereof ),we need to find ways of ar

screenshot of text Bibliographic data and metadata, alongside their supporting appara-tuses, such as data fields, card catalogs, and controlled vocabularies,are important because of what they tell us and also because of whatthey do not. As Sarah Werner points out, the stakes in these descrip-tions are higher than just simple naming and labeling: the categoriesand classifications used in the description of material artifacts are notneutral, and “we cannot do the work that we need to do for the futureof bibliography if we cannot expand who [and what] is included in thatwork.”1 In a queer utopia, we would not assign labels to resources(bibliographic and otherwise) as we do currently. 2 We would be freefrom the assignation of others’ words to our worlds. I am thinkinghere of Library of Congress subject headings such as “Indian gays,”“Female impersonators,” “Gay men—Conduct of life,” and “Sexualminorities.” Yet, until a truly queer world exists (or in lieu thereof ),we need to find ways of ar

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Knowledge Organization (KO) is an academic field mostly associatedwith library and information science (LIS).3 Knowledge is organized sothat it may be used, and the field studies the description, organization,and representation of “information resources” by humans and comput-ers. These resources include letters in archives, artwork in museums,and, of course, books in libraries. Unlike many other disciplines, thereis significant overlap between the academic field and its professionalpractitioners, who often also identify as catalogers, classificationists,taxonomists, or metadata workers. Typically, KO research falls intotwo broad areas, focusing either on the processes of this work, suchas subject analysis, tagging, indexing, or cataloging methods, or onthe results of it, for example, classification systems, subject headings,thesauri, or metadata

screenshot: Knowledge Organization (KO) is an academic field mostly associatedwith library and information science (LIS).3 Knowledge is organized sothat it may be used, and the field studies the description, organization,and representation of “information resources” by humans and comput-ers. These resources include letters in archives, artwork in museums,and, of course, books in libraries. Unlike many other disciplines, thereis significant overlap between the academic field and its professionalpractitioners, who often also identify as catalogers, classificationists,taxonomists, or metadata workers. Typically, KO research falls intotwo broad areas, focusing either on the processes of this work, suchas subject analysis, tagging, indexing, or cataloging methods, or onthe results of it, for example, classification systems, subject headings,thesauri, or metadata

I begin with a hat tip to @wynkenhimself.bsky.social (thrilled that I get to be on a panel with Sarah @ #QueerBibliography UCLA!) and then sketch out #KnowledgeOrganization as a field, linking it to infrastructure (nothing groundbreaking here).

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@dielindada just spoke about »Density of Knowledge Organization Systems« at the #WissOrg17 #digitalhumanities #knowledgeorganization

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