Using AI to Improve Metadata and Technical Services
<p dir="ltr">Artificial intelligence (AI) is revolutionizing metadata management and technical services in libraries, offering innovative solutions to streamline workflows and enhance access to collections. This poster explores AI-driven tools for automated cataloging, metadata enric...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
إضافة وسم
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| _version_ | 1864513544990490624 |
|---|---|
| author | Sheikha Sheema Al Thani (21678081) |
| author2 | Eihab Mohammad (21678089) Hessa Rashid Al Hajri (21678092) |
| author2_role | author author |
| author_facet | Sheikha Sheema Al Thani (21678081) Eihab Mohammad (21678089) Hessa Rashid Al Hajri (21678092) |
| author_role | author |
| dc.creator.none.fl_str_mv | Sheikha Sheema Al Thani (21678081) Eihab Mohammad (21678089) Hessa Rashid Al Hajri (21678092) |
| dc.date.none.fl_str_mv | 2025-05-05T18:00:00Z |
| dc.identifier.none.fl_str_mv | 10.57945/manara.29503811.v1 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/poster/Using_AI_to_Improve_Metadata_and_Technical_Services/29503811 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Information and computing sciences Artificial intelligence Data management and data science Library and information studies Artificial intelligence AI in libraries Metadata management Technical services Automated cataloging Metadata enrichment Classification Workflow optimization Collection access Arabic script recognition Subject indexing Digital resource organization Museum of Islamic Art Library Library automation Discoverability Library innovation AI tools Library case studies Best practices Future opportunities |
| dc.title.none.fl_str_mv | Using AI to Improve Metadata and Technical Services |
| dc.type.none.fl_str_mv | Image Poster info:eu-repo/semantics/publishedVersion image |
| description | <p dir="ltr">Artificial intelligence (AI) is revolutionizing metadata management and technical services in libraries, offering innovative solutions to streamline workflows and enhance access to collections. This poster explores AI-driven tools for automated cataloging, metadata enrichment and classification, improving accuracy and efficiency. It highlights case studies from the Museum of Islamic Art Library, showcasing AI applications in Arabic script recognition, subject indexing and digital resource organization. By leveraging AI, libraries can optimize technical services, reduce manual workloads, and enhance discoverability. This proposal invites discussion on best practices and future opportunities for integrating AI into library technical services.</p><h2>Other Information</h2><p dir="ltr">Poster was presented at: Libraries Thriving Together in an Open Ecosystem <a href="https://www.qnl.qa/en/libraries-lead-forum-2025" rel="noreferrer" target="_blank">https://www.qnl.qa/en/libraries-lead-forum-2025</a><br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>Conference information: Libraries Lead Forum 2025 <a href="https://www.qnl.qa/en/libraries-lead-forum-2025/agenda" rel="noreferrer" target="_blank">https://www.qnl.qa/en/libraries-lead-forum-2025/agenda</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_f5ce9e12224a13d2676c346da002c674 |
| identifier_str_mv | 10.57945/manara.29503811.v1 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/29503811 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Using AI to Improve Metadata and Technical ServicesSheikha Sheema Al Thani (21678081)Eihab Mohammad (21678089)Hessa Rashid Al Hajri (21678092)Information and computing sciencesArtificial intelligenceData management and data scienceLibrary and information studiesArtificial intelligenceAI in librariesMetadata managementTechnical servicesAutomated catalogingMetadata enrichmentClassificationWorkflow optimizationCollection accessArabic script recognitionSubject indexingDigital resource organizationMuseum of Islamic Art LibraryLibrary automationDiscoverabilityLibrary innovationAI toolsLibrary case studiesBest practicesFuture opportunities<p dir="ltr">Artificial intelligence (AI) is revolutionizing metadata management and technical services in libraries, offering innovative solutions to streamline workflows and enhance access to collections. This poster explores AI-driven tools for automated cataloging, metadata enrichment and classification, improving accuracy and efficiency. It highlights case studies from the Museum of Islamic Art Library, showcasing AI applications in Arabic script recognition, subject indexing and digital resource organization. By leveraging AI, libraries can optimize technical services, reduce manual workloads, and enhance discoverability. This proposal invites discussion on best practices and future opportunities for integrating AI into library technical services.</p><h2>Other Information</h2><p dir="ltr">Poster was presented at: Libraries Thriving Together in an Open Ecosystem <a href="https://www.qnl.qa/en/libraries-lead-forum-2025" rel="noreferrer" target="_blank">https://www.qnl.qa/en/libraries-lead-forum-2025</a><br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>Conference information: Libraries Lead Forum 2025 <a href="https://www.qnl.qa/en/libraries-lead-forum-2025/agenda" rel="noreferrer" target="_blank">https://www.qnl.qa/en/libraries-lead-forum-2025/agenda</a></p>2025-05-05T18:00:00ZImagePosterinfo:eu-repo/semantics/publishedVersionimage10.57945/manara.29503811.v1https://figshare.com/articles/poster/Using_AI_to_Improve_Metadata_and_Technical_Services/29503811CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/295038112025-05-05T18:00:00Z |
| spellingShingle | Using AI to Improve Metadata and Technical Services Sheikha Sheema Al Thani (21678081) Information and computing sciences Artificial intelligence Data management and data science Library and information studies Artificial intelligence AI in libraries Metadata management Technical services Automated cataloging Metadata enrichment Classification Workflow optimization Collection access Arabic script recognition Subject indexing Digital resource organization Museum of Islamic Art Library Library automation Discoverability Library innovation AI tools Library case studies Best practices Future opportunities |
| status_str | publishedVersion |
| title | Using AI to Improve Metadata and Technical Services |
| title_full | Using AI to Improve Metadata and Technical Services |
| title_fullStr | Using AI to Improve Metadata and Technical Services |
| title_full_unstemmed | Using AI to Improve Metadata and Technical Services |
| title_short | Using AI to Improve Metadata and Technical Services |
| title_sort | Using AI to Improve Metadata and Technical Services |
| topic | Information and computing sciences Artificial intelligence Data management and data science Library and information studies Artificial intelligence AI in libraries Metadata management Technical services Automated cataloging Metadata enrichment Classification Workflow optimization Collection access Arabic script recognition Subject indexing Digital resource organization Museum of Islamic Art Library Library automation Discoverability Library innovation AI tools Library case studies Best practices Future opportunities |