The Experts below are selected from a list of 3087 Experts worldwide ranked by ideXlab platform

Michele Reilly - One of the best experts on this subject based on the ideXlab platform.

  • Embedded Metadata Patterns Across Web Sharing Environments
    International Journal of Digital Curation, 2018
    Co-Authors: Santi Thompson, Michele Reilly
    Abstract:

    This research project tried to determine how or if Embedded Metadata followed the digital object as it was shared on social media platforms by using EXIFTool, a variety of social media platforms and user profiles, the Embedded Metadata extracted from selected New York Public Library (NYPL) and Europeana images, PDFs from open access science journals, and captured mobile phone images. The goal of the project was to clarify which Embedded Metadata fields, if any, migrated with the object as it was shared across social media.

Santi Thompson - One of the best experts on this subject based on the ideXlab platform.

  • Embedded Metadata Patterns Across Web Sharing Environments
    International Journal of Digital Curation, 2018
    Co-Authors: Santi Thompson, Michele Reilly
    Abstract:

    This research project tried to determine how or if Embedded Metadata followed the digital object as it was shared on social media platforms by using EXIFTool, a variety of social media platforms and user profiles, the Embedded Metadata extracted from selected New York Public Library (NYPL) and Europeana images, PDFs from open access science journals, and captured mobile phone images. The goal of the project was to clarify which Embedded Metadata fields, if any, migrated with the object as it was shared across social media.

Reilly Michele - One of the best experts on this subject based on the ideXlab platform.

  • Digital Image Users and Reuse: Enhancing practitioner discoverability of digital library reuse based on user file naming behavior
    Humboldt-Universität zu Berlin, 2021
    Co-Authors: Reilly Michele
    Abstract:

    Diese Dissertation untersucht Geräte, die Praktiker verwenden, um die Wiederverwendung von digitalen Bibliotheksmaterialien zu entdecken. Der Autor führt zwei Verifikationsstudien durch, in denen zwei zuvor angewandte Strategien untersucht werden, die Praktiker verwenden, um die Wiederverwendung digitaler Objekte zu identifizieren, insbesondere Google Images Reverse Image Lookup (RIL) und eingebettete Metadaten. Es beschreibt diese Strategiebeschränkungen und bietet einen neuen, einzigartigen Ansatz zur Verfolgung der Wiederverwendung, indem der Suchansatz des Autors basierend auf dem Benennungsverhalten von Benutzerdateien verwendet wird. Bei der Untersuchung des Nutzens und der Einschränkungen von Google Images und eingebetteten Metadaten beobachtet und dokumentiert der Autor ein Muster des Benennungsverhaltens von Benutzerdateien, das vielversprechend ist, die Wiederverwendung durch den Praktiker zu verbessern. Der Autor führt eine Untersuchung zur Bewertung der Dateibenennung durch, um dieses Muster des Verhaltens der Benutzerdateibenennung und die Auswirkungen der Dateibenennung auf die Suchmaschinenoptimierung zu untersuchen. Der Autor leitet mehrere signifikante Ergebnisse ab, während er diese Studie fertigstellt. Der Autor stellt fest, dass Google Bilder aufgrund der Änderung des Algorithmus kein brauchbares Werkzeug mehr ist, um die Wiederverwendung durch die breite Öffentlichkeit oder andere Benutzer zu entdecken, mit Ausnahme von Benutzern aus der Industrie. Eingebettete Metadaten sind aufgrund der nicht persistenten Natur eingebetteter Metadaten kein zuverlässiges Bewertungsinstrument. Der Autor stellt fest, dass viele Benutzer ihre eigenen Dateinamen generieren, die beim Speichern und Teilen von digitalen Bildern fast ausschließlich für Menschen lesbar sind. Der Autor argumentiert, dass, wenn Praktiker Suchbegriffe nach den "aggregierten Dateinamen" modellieren, sie ihre Entdeckung wiederverwendeter digitaler Objekte erhöhen.This dissertation explores devices practitioners utilize to discover the reuse of digital library materials. The author performs two verification studies investigating two previously employed strategies that practitioners use to identify digital object reuse, specifically Google Images reverse image lookup (RIL) and Embedded Metadata. It describes these strategy limitations and offers a new, unique approach for tracking reuse by employing the author's search approach based on user file naming behavior. While exploring the utility and limitations of Google Images and Embedded Metadata, the author observes and documents a pattern of user file naming behavior that exhibits promise for improving practitioner's discoverability of reuse. The author conducts a file naming assessment investigation to examine this pattern of user file naming behavior and the impact of file naming on search engine optimization. The author derives several significant findings while completing this study. The author establishes that Google Images is no longer a viable tool to discover reuse by the general public or other users except for industry users because of its algorithm change. Embedded Metadata is not a reliable assessment tool because of the non-persistent nature of Embedded Metadata. The author finds that many users generate their own file names, almost exclusively human-readable when saving and sharing digital images. The author argues that when practitioners model search terms after the "aggregated file names" they increase their discovery of reused digital objects

  • Embedded Metadata Patterns Across Web Sharing Environments
    2018
    Co-Authors: Thompson Santi, Reilly Michele
    Abstract:

    This research project tried to determine how or if Embedded Metadata followed the digital object as it was shared on social media platforms by: using EXIFTool, a variety of social media platforms and user profiles, the Embedded Metadata extracted from selected New York Public Library (NYPL) and Europeana images, PDFs from open access science journals, and captured mobile phone images. The goal of the project was to clarify which Embedded Metadata fields, if any, migrated with the object as it was shared across social media.Librarie

Johanna Bauman - One of the best experts on this subject based on the ideXlab platform.

Greg Reser - One of the best experts on this subject based on the ideXlab platform.