Aly Conteh of the British Library presents the library's work to make digitised historic newspapers accessible online. This presentation was delivered at the Europeana Newspapers Project workshop in Amsterdam.
This document discusses Suzanne Chapman, the UX Generalist and Department Manager at the University of Michigan Library. It describes the library's staff sizes and references services available to alumni. It also discusses traits of librarians and how the concept of being "exhaustively thorough" is important for research but not for being concise. It explores the tension between being short/concise versus thorough/meaningful in both traditional library and digital settings.
The document summarizes North Yorkshire's library outlet model, which aims to integrate library facilities into other community venues like village halls in order to better serve rural areas. The model involves the library service providing books, shelving, and sometimes computers and self-checkout machines, while local volunteers run the outlets under guidance from library staff. The experience so far shows different approaches work in different locations, from a deposit collection in a pub to a community partnership operating a small branch library. Lessons learned indicate it takes longer than expected to set up outlets, local enthusiasm is essential, ICT costs are high, and one size does not fit all locations.
This document discusses principles and best practices for conducting usability testing of historic newspapers. It defines usability as ensuring a website works well and can be used as intended without frustration. Key lessons include minimizing complexity, prioritizing important content, providing consistent navigation, clear error messages, and help functions. The document outlines types of usability testing, recruiting participants, planning test tasks, and analyzing results to identify usability problems. Recommendations emphasize balancing content and white space, following standards, and enabling feedback.
Presentation of Philippe Mezzasalma at the BnF Information Day in ParisEuropeana Newspapers
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The presentation of Philippe Mezzasalma at the BnF Information Day in Paris for the Europeana Newspapers project (November 2014).
Presentation of Ioannis Anagnostopoulos at BnF Information DayEuropeana Newspapers
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The presentation of Ioannis Anagnostopoulos at the BnF Europeana Newspapers Information Day in Paris (November 2014).
The Presentation of Hans-J旦rg Lieder, Staatsbibliothek zu Berlin Preuischer Kulturbesitz, at the BnF Information Day for Europeana Newspapers (November 2014).
Optical Character Recognition (OCR) technology can help users in their research by digitizing printed texts and enabling full-text search. However, OCR quality varies and error rates can be as high as 10-40% depending on factors like language and publication date. This can negatively impact researchers seeking all occurrences of search terms. Crowd-sourcing corrections for searched words and utilizing external knowledge sources like Wikipedia could help improve search results and researchers' experiences. Machine learning applied to large digitized collections also has potential to extract additional useful information and insights not readily apparent from the text alone.
The document discusses Optical Layout Recognition (OLR) to convert scanned newspaper pages into structured digital files. It describes CCS's role in providing OLR technology and services to structure over 2 million newspaper pages from 5 European library partners. The general OLR workflow involves scanning, layout analysis to identify text blocks and zones, OCR, and quality assurance. CCS will analyze page layouts to recognize elements like articles, headlines, images and classify page types. Libraries can perform final quality assurance checking on the structured output, which is packaged in METS and ALTO formats for preservation and improved search and access capabilities.
The Europeana Newspapers project is digitizing newspapers from the 17th-20th centuries across 22 European languages. It has provided full text for over 2 million newspaper pages and metadata for over 18 million additional pages. Usability testing was conducted with researchers and improvements were made to search, browsing, and display functionality based on feedback. Researchers value the project for enabling new large-scale, interdisciplinary, and computational analyses of digitized newspaper archives.
The document discusses the Europeana Newspapers project, which aims to digitize over 18 million newspaper pages from various European newspapers ranging from the 17th to 20th centuries. The project involves 12 content providers, 2 networking partners, 4 technology providers and 1 aggregator working together to improve access to historical newspapers. Key aspects of the project include cultural cooperation, skills sharing, improved search capabilities through technologies like optical character recognition. The project highlights how digitization has improved access to historical newspapers and their coverage of events like the Titanic disaster across different European countries.
This document discusses optical character recognition (OCR) of historical newspapers. It describes the digitization process, which includes image capturing, text and structure recognition, natural language processing, and content representation. OCR accuracy can be improved through layout analysis, structural metadata extraction, and identifying different content units like articles, advertisements, and entertainment sections. The goal is to make the content and knowledge within digitized newspapers accessible beyond the scanned text.
The document describes a project called OPATCH that aims to create an advanced online search infrastructure for a historical newspaper archive. OPATCH will use computational linguistic methods like parsing, tagging, and named entity recognition to correct errors from optical character recognition (OCR) processing on the newspapers, which are from 1910-1920 and in difficult-to-read Fraktur font. The project will start with error-prone OCR text that cannot be manually corrected at scale. It will develop and test a method to generate and select candidates for correcting OCR errors using edit distances and ngram frequencies.
Optical Character Recognition (OCR) technology can help users in their research by digitizing printed texts and enabling full-text search. However, OCR quality varies and error rates can be as high as 10-40% depending on factors like language and publication date. This can negatively impact researchers seeking all occurrences of search terms. Crowd-sourcing corrections for searched words and utilizing external knowledge sources like Wikipedia could help improve search results and researchers' experiences. Machine learning applied to large digitized collections also has potential to extract additional useful information and insights not readily apparent from the text alone.
The document discusses Optical Layout Recognition (OLR) to convert scanned newspaper pages into structured digital files. It describes CCS's role in providing OLR technology and services to structure over 2 million newspaper pages from 5 European library partners. The general OLR workflow involves scanning, layout analysis to identify text blocks and zones, OCR, and quality assurance. CCS will analyze page layouts to recognize elements like articles, headlines, images and classify page types. Libraries can perform final quality assurance checking on the structured output, which is packaged in METS and ALTO formats for preservation and improved search and access capabilities.
The Europeana Newspapers project is digitizing newspapers from the 17th-20th centuries across 22 European languages. It has provided full text for over 2 million newspaper pages and metadata for over 18 million additional pages. Usability testing was conducted with researchers and improvements were made to search, browsing, and display functionality based on feedback. Researchers value the project for enabling new large-scale, interdisciplinary, and computational analyses of digitized newspaper archives.
The document discusses the Europeana Newspapers project, which aims to digitize over 18 million newspaper pages from various European newspapers ranging from the 17th to 20th centuries. The project involves 12 content providers, 2 networking partners, 4 technology providers and 1 aggregator working together to improve access to historical newspapers. Key aspects of the project include cultural cooperation, skills sharing, improved search capabilities through technologies like optical character recognition. The project highlights how digitization has improved access to historical newspapers and their coverage of events like the Titanic disaster across different European countries.
This document discusses optical character recognition (OCR) of historical newspapers. It describes the digitization process, which includes image capturing, text and structure recognition, natural language processing, and content representation. OCR accuracy can be improved through layout analysis, structural metadata extraction, and identifying different content units like articles, advertisements, and entertainment sections. The goal is to make the content and knowledge within digitized newspapers accessible beyond the scanned text.
The document describes a project called OPATCH that aims to create an advanced online search infrastructure for a historical newspaper archive. OPATCH will use computational linguistic methods like parsing, tagging, and named entity recognition to correct errors from optical character recognition (OCR) processing on the newspapers, which are from 1910-1920 and in difficult-to-read Fraktur font. The project will start with error-prone OCR text that cannot be manually corrected at scale. It will develop and test a method to generate and select candidates for correcting OCR errors using edit distances and ngram frequencies.
How to create security group category in Odoo 17Celine George
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This slide will represent the creation of security group category in odoo 17. Security groups are essential for managing user access and permissions across different modules. Creating a security group category helps to organize related user groups and streamline permission settings within a specific module or functionality.
Effective Product Variant Management in Odoo 18Celine George
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In this slide well discuss on the effective product variant management in Odoo 18. Odoo concentrates on managing product variations and offers a distinct area for doing so. Product variants provide unique characteristics like size and color to single products, which can be managed at the product template level for all attributes and variants or at the variant level for individual variants.
Blind spots in AI and Formulation Science, IFPAC 2025.pdfAjaz Hussain
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The intersection of AI and pharmaceutical formulation science highlights significant blind spotssystemic gaps in pharmaceutical development, regulatory oversight, quality assurance, and the ethical use of AIthat could jeopardize patient safety and undermine public trust. To move forward effectively, we must address these normalized blind spots, which may arise from outdated assumptions, errors, gaps in previous knowledge, and biases in language or regulatory inertia. This is essential to ensure that AI and formulation science are developed as tools for patient-centered and ethical healthcare.
Research Publication & Ethics contains a chapter on Intellectual Honesty and Research Integrity.
Different case studies of intellectual dishonesty and integrity were discussed.
Dr. Ansari Khurshid Ahmed- Factors affecting Validity of a Test.pptxKhurshid Ahmed Ansari
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Validity is an important characteristic of a test. A test having low validity is of little use. Validity is the accuracy with which a test measures whatever it is supposed to measure. Validity can be low, moderate or high. There are many factors which affect the validity of a test. If these factors are controlled, then the validity of the test can be maintained to a high level. In the power point presentation, factors affecting validity are discussed with the help of concrete examples.
Inventory Reporting in Odoo 17 - Odoo 17 Inventory AppCeline George
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This slide will helps us to efficiently create detailed reports of different records defined in its modules, both analytical and quantitative, with Odoo 17 ERP.
How to Configure Proforma Invoice in Odoo 18 SalesCeline George
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In this slide, well discuss on how to configure proforma invoice in Odoo 18 Sales module. A proforma invoice is a preliminary invoice that serves as a commercial document issued by a seller to a buyer.
3. www.bl.uk 3
Challenges & Considerations
Who is the site for?
How will users interact with the site?
How do we deal with recognition errors?
How do you get the balance right in a public private
partnership model
4. www.bl.uk 4
Who is it for?
Academic Researcher
Local Historian
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