Relevant bibliographies by topics / Metadata

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  2. Dissertations / Theses
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Academic literature on the topic 'Metadata'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 June 2025

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Journal articles on the topic "Metadata"

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Blumesberger, Susanne, Bernhard Schubert, and Alexander Zartl. "Schwerpunktthema „Metadata – Metadaten“." Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare 70, no. 2 (2017): 153–56. http://dx.doi.org/10.31263/voebm.v70i2.1851.

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Mincewicz, Wojciech. "Metadane – cichy zabójca prywatności." Studia Politologiczne 2019, no. 54 (2019): 230–57. http://dx.doi.org/10.33896/spolit.2019.54.9.

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The article has a deeper reflection on the issue of metadata, that is, data which are defined or describe other data. The theoretical layer extracted three types of metadata: descriptive, structural, and administrative. Descriptive metadata is used to find and identify key information that allows the location of an object. Structured metadata describes the internal structure of the object, but administrative metadata refers to the technical information, where information is provided for example about the time and how the file was created. The purpose of the publication is to provide theoretical knowledge as well as practical. The second part of the article depicts the concepts of graphic and text files, and simple self-defense techniques are indicated, which allow you to remove metadata before sharing the file. The supplementing of article is: analysis the ability to extract meta information by Fingerprinting Organizations with Collected Archives (FOCA), which is used to mechanizedly extract metadata reflection on what the metadata includes the email header.
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Hanlon, Ann, and Mehmet Emin Küçük. "Metadata Kavramına Kısa Bir Giriş." Bilgi Dünyası 2, no. 2 (2001): 206–17. http://dx.doi.org/10.15612/bd.2001.472.

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Metadata terimi kütüphanecilik alanında sürekli karşımıza çıkan terimlerden bir haline gelmiştir. Konuyla ilgili bu kısa giriş, metada tanın ne olduğu ve ne tür yeni gelişmeler getirdiğine ilişkin kısa bir tanıtımı hedeflemektedir. Bu makale ayrıca metadata hakkında bazı temel soruları ortaya koymaktadır: Hangi nitelikleri metadatayı World Wide Web üzerinde elektronik kaynakların tek biçim kaynak keşfinde bir araç yapmaktadır? Ve MARC gibi daha geleneksel kataloglama araçlarımızdan nasıl bir farklılık göstermektedir? Son olarak, metadata hakkında daha ayrıntılı bilgi içeren açıklamalı bir kısa bibliyografya sunulmaktadır.
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Greenberg, Jane. "Understanding Metadata and Metadata Schemes." Cataloging & Classification Quarterly 40, no. 3-4 (2005): 17–36. http://dx.doi.org/10.1300/j104v40n03_02.

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Habermann, Ted. "Metadata 2020 Metadata Evaluation Projects." Research Ideas and Outcomes 6 (June 17, 2020): e54176. https://doi.org/10.3897/rio.6.e54176.

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Metadata 2020: a cross-community collaboration that advocates richer, connected, reusable, and open metadata for all research outputs to advance scholarly pursuits for the benefit of society. A group of volunteers working together trying to encourage and facilitate progress towards this challenging goal. Management guru Peter Druker famously said "If you can't measure it, you can't improve it". With that in mind, several Metadata 2020 projects examined approaches to metadata evaluation and connections between evaluation and guidance. Accomplishing this progress across the broad expanse of the Metadata 2020 landscape requires connecting metadata dialects and community recommendations and analysis of multiple metadata corpora. This paper describes one framework for approaching that task and some potential examples.
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Campoverde Molina, Milton, Jenny Vizñay Durán, and Silvia Vintimilla Jara. "Análisis de esquemas de metadatos para catalogación de tesis y proyectos de investigación." Revista Científica y Tecnológica UPSE 5, no. 1 (2018): 1–8. http://dx.doi.org/10.26423/rctu.v5i1.209.

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Este artículo revela el análisis comparativo de los esquemas de metadatos MARC21, MODS, DUBLIN CORE y OPAC en la catalogación y publicación de tesis y proyectos de investigación en el repositorio DSpace. Inicia con la elaboración y aplicación de una encuesta a los administradores bibliotecarios de las instituciones: Universidad de Cuenca, Universidad del Azuay, Universidad Católica de Cuenca, Universidad Politécnica Salesiana y la Biblioteca Municipal de la ciudad de Cuenca, con el fin de determinar el esquema de metadatos empleado en la catalogación de tesis y proyectos de investigación. Luego se realiza la instalación de una Máquina Virtual bajo el sistema operativo Ubuntu, utilizando la herramienta tasksel se instalan los requisitos previos a la instalación de DSpace, configuración del repositorio DSpace y publicación de los contenidos de tesis y proyectos de investigación dentro del repositorio. Se concluye que el metadato que predomina dentro de los repositorios DSpace es el Dublin Core y es el que mejor se adecua para la catalogación de tesis y proyectos de investigación, en las pruebas con estudiantes y profesores en los tres aspectos: técnico, de uso y funcional. El esquema de metadato Dublin Core en el repositorio DSpace es calificado como excelente, presentando un nivel medio de complejidad en el registro de documentos.
 ABSTRACT
 This article reveals the comparative analysis of metadata schemas MARC21, MODS, DUBLIN CORE and OPAC in cataloging and publication of thesis and research projects in the DSpace repository. It begins with the development and implementation of a survey to library administrators of the following institutions: University of Cuenca, Azuay University, Catholic University of Cuenca, Salesian University and the Municipal Library of the city of Cuenca, in order to determine the schema metadata used in cataloging thesis and research projects. Then a virtual Machine was installed under the Ubuntu operating system. By using the tasksel tool the prerequisites are installed previous to the installation of DSpace, DSpace repository configuration and publication of the contents of thesis and research projects within the repository. It is concluded that the metadata that prevails within the DSpace repositories is the Dublin Core and it is the one best fits for cataloging thesis and research projects, in tests with students and teachers in the three aspects: technical, use and functional. The Dublin Core metadata schema in the repository DSpace is rated as excellent, having an average level of complexity in registration documents.
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Greenberg, Jane. "Big Metadata, Smart Metadata, and Metadata Capital: Toward Greater Synergy Between Data Science and Metadata." Journal of Data and Information Science 2, no. 3 (2017): 19–36. http://dx.doi.org/10.1515/jdis-2017-0012.

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AbstractPurposeThe purpose of the paper is to provide a framework for addressing the disconnect between metadata and data science. Data science cannot progress without metadata research. This paper takes steps toward advancing the synergy between metadata and data science, and identifies pathways for developing a more cohesive metadata research agenda in data science.Design/methodology/approachThis paper identifies factors that challenge metadata research in the digital ecosystem, defines metadata and data science, and presents the concepts big metadata, smart metadata, and metadata capital as part of a metadata lingua franca connecting to data science.FindingsThe “utilitarian nature” and “historical and traditional views” of metadata are identified as two intersecting factors that have inhibited metadata research. Big metadata, smart metadata, and metadata capital are presented as part of a metadata lingua franca to help frame research in the data science research space.Research limitationsThere are additional, intersecting factors to consider that likely inhibit metadata research, and other significant metadata concepts to explore.Practical implicationsThe immediate contribution of this work is that it may elicit response, critique, revision, or, more significantly, motivate research. The work presented can encourage more researchers to consider the significance of metadata as a research worthy topic within data science and the larger digital ecosystem.Originality/valueAlthough metadata research has not kept pace with other data science topics, there is little attention directed to this problem. This is surprising, given that metadata is essential for data science endeavors. This examination synthesizes original and prior scholarship to provide new grounding for metadata research in data science.
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Chuc Arcia, Alejandro, and Víctor Hugo Menéndez Domínguez. "Desarrollo de un recomendador de metadatos para un repositorio utilizando técnicas de extracción de conocimiento." Tecnología Educativa Revista CONAIC 8, no. 2 (2021): 45–50. http://dx.doi.org/10.32671/terc.v8i2.209.

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Los repositorios digitales de producción científica son espacios que conservan la información de las diversas publicaciones almacenadas donde los metadatos juegan un papel fundamental para el cumplimiento de dicho propósito. Al describir a los recursos en términos de su contenido, utilización, características técnicas, etc., permiten su catalogación y, por ende, facilitan su localización, su recuperación y su uso. Sin embargo, los metadatos suelen adolecer de integridad, completitud, exactitud y consistencia. En este trabajo se propone desarrollar un asistente que facilite la generación de metadatos para los recursos almacenados en el repositorio DSpace utilizando técnicas de extracción de conocimiento. Se espera que las técnicas de extracción de conocimiento puedan facilitar y mejorar la generación de metadatos para trabajos de titulación almacenados en el repositorio DSpace, beneficiando especialmente a los usuarios no especializados en esta área. Otro resultado será una API basada en el modelo arquitectónico que facilite la generación automática de metadatos para los documentos almacenados en DSpace.
 The digital repositories of scientific production are spaces that preserve the information of the various stored publications where metadata play a fundamental role for the fulfillment of said purpose. By describing resources in terms of their content, use, technical characteristics, etc., they allow their cataloging and, therefore, facilitate their location, retrieval and use. However, metadata often suffers from completeness, completeness, accuracy, and consistency. In this work it is proposed to develop a wizard that facilitates the generation of metadata for the resources stored in the DSpace repository using knowledge extraction techniques. It is expected that knowledge extraction techniques can facilitate and improve the generation of metadata for titling works stored in the DSpace repository, especially benefiting users not specialized in this area. Another result will be an API based on the architectural model that facilitates the automatic generation of metadata for documents stored in DSpace.
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Bagchi, Mayukh. "Toward Generative AI–Driven Metadata Modeling: A Human–Large Language Model Collaborative Approach." Library Trends 73, no. 3 (2025): 297–322. https://doi.org/10.1353/lib.2025.a961196.

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Abstract: For decades, the modeling of metadata has been core to the functioning of any academic library. Metadata’s importance has only increased with the pervasiveness of generative artificial intelligence–driven information activities and services. However, several challenges impact a library metadata model’s reusability, crosswalk, and interoperability with other metadata models. This paper posits that these problems stem from an underlying assumption that there should be only a few core metadata models that would be sufficient for any information service using them, irrespective of the heterogeneity of intradomain or interdomain settings. To that end, this paper advances a contrary view and substantiates its argument in three key steps. First, the paper introduces a novel way of thinking about a library metadata model as an ontology-driven composition of five functionally interlinked representation levels from perception to definition via properties. Second, the paper introduces the representational manifoldness implicit in each of the five levels, which cumulatively contributes to a conceptually entangled library metadata model. Finally, and most importantly, the paper proposes a generative AI–driven, human–large language model collaboration-based metadata modeling approach to disentangle the entanglement inherent in each representation level, which would lead to a conceptually disentangled metadata model. Throughout the paper, the author provides motivating scenarios and examples from libraries handling cancer information.
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Silva, Victória De Abreu e., and Márcio Bezerra da Silva. "Metadados para preservação digital de dados abertos: um estudo de identificação." Biblios: Journal of Librarianship and Information Science, no. 78 (August 17, 2021): 44–60. http://dx.doi.org/10.5195/biblios.2020.793.

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Objetivo. Investigación que pretende identificar los estándares de metadatos útiles para la preservación digital y la disponibilidad de los datos abiertos según la literatura actual.Método. Se caracteriza por ser una investigación exploratoria, en la identificación de estándares de metadatos, y bibliográfica, por la base literaria necesaria sobre la representación descriptiva de la información, la preservación digital y los metadatos, con el fin de tratar, preservar y hacer disponibles digitalmente los datos abiertos, desde el enfoque cualitativo de la recogida de datos.Resultados. Resultados, basados en la investigación literaria, en el elenco de entornos como sitios gubernamentales, Institutos de Investigación, repositorios digitales, catálogos electrónicos y bibliotecas digitales que adoptan estándares de metadatos utilizables para la preservación y disponibilidad de datos abiertos, siendo, específicamente, los esquemas: Dublin Core, utilizado en entornos como el Portal de Datos Abiertos de Brasil; Preservation Metadata Implementation Strategies, presente en repositorios como el Repositorio Digital de Carolina; Metadata Object Description Schema, adoptado por sistemas como el Copac: Catálogo de Bibliotecas de Investigación del Reino Unido e Irlanda; y Metadata Encoding and Transmission Standard, al que se accede para gestionar objetos digitales en bibliotecas y repositorios como la Biblioteca NacionalBiblioteca Digital de Portugal.Conclusiones. Se llegó a la conclusión de que la única norma de metadatos pensada específicamente en la preservación digital, y que se considera como la recomendada para la salvaguarda digital y la puesta a disposición de datos abiertos, es la Preservation Metadata Implementation, La única norma de metadatos diseñada específicamente para la preservación digital y que, si se considera recomendable para la preservación digital y la disponibilidad de datos abiertos, es la Preservation Metadata Implementation, basada en campos como los derechos, los agentes y los eventos. otros fines, también permiten la conservación de los datos, como es el caso de Dublin Core, en el uso de elementos fuente, relación, [...] y la Norma de Transmisión, adoptando los componentes de la sección de enlace estructural y de la sección de comportamiento.
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Dissertations / Theses on the topic "Metadata"

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Moore, Michael S., Jeremy C. Price, Andrew R. Cormier, and William A. Malatesta. "Metadata Description Language: The iNET Metadata Standard Language." International Foundation for Telemetering, 2009. http://hdl.handle.net/10150/605963.

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ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>In order to help manage the complexity in designing and configuring network-based telemetry systems, and to promote interoperability between equipment from multiple vendors, the integrated Network-Enhanced Telemetry (iNET) Metadata Standards Working Group (MDSWG) has developed a standard language for describing and configuring these systems. This paper will provide the community with an overview of Metadata Description Language (MDL), and describe how MDL can support the description of the requirements, design choices, and the configuration of devices that make up the Telemetry Network System (TmNS). MDL, an eXtensible Markup Language (XML) based language that describes a TmNS from various aspects, is embodied by an XML schema along with additional rules and constraints. Example MDL instance documents will be presented to illustrate how MDL can be used to capture requirements, describe the design, and configure the equipment that makes up a TmNS. Various scenarios for how MDL can be used will be discussed.
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Eckart, Thomas. "Einsatz und Bewertung komponentenbasierter Metadaten in einer föderierten Infrastruktur für Sprachressourcen am Beispiel der CMDI." Doctoral thesis, Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-207859.

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Die Arbeit setzt sich mit dem Einsatz der Component Metadata Infrastructure CMDI im Rahmen der föderierten Infrastruktur CLARIN auseinander, wobei diverse konkrete Problemfälle aufgezeigt werden. Für die Erarbeitung entsprechender Lösungsstrategien werden unterschiedliche Verfahren adaptiert und für die Qualitätsanalyse von Metadaten und zur Optimierung ihres Einsatzes in einer föderierten Umgebung genutzt. Konkret betrifft dies vor allem die Übernahme von Modellierungsstrategien der Linked Data Community, die Übernahme von Prinzipien und Qualitätsmetriken der objektorientierten Programmierung für CMD-Metadatenkomponenten, sowie den Einsatz von Zentralitätsmaßen der Graph- bzw. Netzwerkanalyse für die Bewertung des Zusammenhalts des gesamten Metadatenverbundes. Dabei wird im Rahmen der Arbeit die Analyse verwendeter Schema- bzw. Schemabestandteile sowie die Betrachtung verwendeter Individuenvokabulare im Zusammenspiel aller beteiligten Zentren in den Vordergrund gestellt.
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Mitchell, Erik T. Greenberg Jane. "Metadata literacy an analysis of metadata awareness in college students /." Chapel Hill, N.C. : University of North Carolina at Chapel Hill, 2009. http://dc.lib.unc.edu/u?/etd,2910.

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Thesis (Ph. D.)--University of North Carolina at Chapel Hill, 2010.<br>Title from electronic title page (viewed Jun. 23, 2010). "... in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the School of Information and Library Science." Discipline: Information and Library Science; Department/School: Information and Library Science, School of.
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Oppedal, Anita Iren. "Alt er metadata : Bruk av metadata i et integrert brukersystem." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2000. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-227.

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<p>Denne hovedfagsavhandlingen setter fokus på hvordan metadata brukes i et integrert brukersystem i en bedrift.</p><p>I et informasjonsrom er informasjonsressurser fra ulike medier intergrert, og en trenger et felles “bindeledd” for å støtte bedre gjenfinning og tilgang til informasjon i informasjonsrommet. Problemet er ofte at de ulike medier bruker ulike format for beskrivelse av sine informasjonsressurser, noe som vanskeliggjør interoperabilitet mellom de ulike medier. Dersom de ulike medier kan bruke samme metadataformat til å beskrive sine informasjonsressurser, vil det bedre interoperabiliteten.</p><p>Dublin Core Metadata Element Set (DC) er et format utviklet med tanke på publisering av informasjonsressuser via Intranett og Internett. Det er DC som er bindeleddet i det virtuelle informasjonsrommet som denne avhandlingen tar utgangspunkt i.</p><p>Sentralt i denne avhandlingen står vurderingen av hvordan Adresseavisens indekseringsbehov kan tilfredsstilles i DC for informasjonsressurser som artikler, bilder/illustrasjoner og film. Forslag til et kjerneformat for Adresseavisens informasjonsressurser, med medieavhengige variasjoner legges frem. Dette er informasjonsressurser hvor avis er brukskontekst. Forslaget som fremlegges imøtekommer resultater fra brukerundersøkelsen, og opplysninger og observasjon av hvordan indekseringsformatene allerede benytter brukes.</p><p>Undersøkelsen har resultert i følgende funn:</p><p>• De fleste brukere velger fritekstsøk fremfor metadatasøk</p><p>• Opplæring virker inn på bruk av metadata</p><p>• Arbeidsoppgaver/Informasjonsbehov påvirker bruk av metadata</p><p>• Erfaring med databasesystemet og hyppighet i søk i databasen kan påvirke bruk av metadata</p><p>• Noen metadataelement er mer bedre egnet for søk enn andre.</p><p>Undersøkelsene gir også anbefalinger som kan være nyttige ved navngivning av metadata. Følgende fremgår av undersøkelsen:</p><p>• Forkortelser i navngivning av metadata bør unngås for å gjøre dem mer selvforklarende</p><p>• Tvetydige begreper i navngivning av metadata gjør dem mindre intuitive i forhold til forståelse for innhold</p><p>Undersøkelsen er presentert med stolpediagram og tabeller, som er metoder som kan brukes til kvalitative analyser.</p>
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Phillips, Mark Edward. "Exploring the Use of Metadata Record Graphs for Metadata Assessment." Thesis, University of North Texas, 2020. https://digital.library.unt.edu/ark:/67531/metadc1707350/.

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Cultural heritage institutions, including galleries, libraries, museums, and archives are increasingly digitizing physical items and collecting born-digital items and making these resources available on the Web. Metadata plays a vital role in the discovery and management of these collections. Existing frameworks to identify and address deficiencies in metadata rely heavily on count and data-value based metrics that are calculated over aggregations of descriptive metadata. There has been little research into the use of traditional network analysis to investigate the connections between metadata records based on shared data values in metadata fields such as subject or creator. This study introduces metadata record graphs as a mechanism to generate network-based statistics to support analysis of metadata. These graphs are constructed with the metadata records as the nodes and shared metadata field values as the edges in the network. By analyzing metadata record graphs with algorithms and tools common to the field of network analysis, metadata managers can develop a new understanding of their metadata that is often impossible to generate from count and data-value based statistics alone. This study tested application of metadata record graphs to analysis of metadata collections of increasing size, complexity, and interconnectedness in a series of three related stages. The findings of this research indicate effectiveness of this new method, identify network algorithms that are useful for analyzing descriptive metadata and suggest methods and practices for future implementations of this technique.
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Dillon, Martin. "Metadata for Web Resources: How Metadata Works on the Web." the Library of Congress, 2000. http://hdl.handle.net/10150/105769.

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This paper begins by discussing the various meanings of metadata both on and off the Web, and the various uses to which metadata has been put. The body of the paper focuses on the Web and the roles that metadata has in that environment. More specifically, the primary concern here is for metadata used in resource discovery, broadly considered. Metadata for resource discovery is on an evolutionary path with bibliographic description as an immediate predecessor. Its chief exemplar is the Dublin Core and its origins, nature and current status will be briefly discussed. From this starting point, the paper then considers the uses of such metadata in the Web context, both currently and those that are planned for. The critical issues that need addressing are its weaknesses for achieving its purposes and alternatives. Finally, the role of libraries in creating systems for resource discovery is considered, from the perspective of the gains made to date with the Dublin Core, the difficulties of merging this effort with traditional bibliographic description (aka MARC and AACRII), and what can be done about the gap between the two. --------------------------------------------------------------------------------
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Migletz, James J. "Automated metadata extraction." Thesis, Monterey, Calif. : Naval Postgraduate School, 2008. http://handle.dtic.mil/100.2/ADA483465.

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Thesis (M.S. in Computer Science)--Naval Postgraduate School, June 2008.<br>Thesis Advisor(s): Garfinkel, Simson. "June 2008." Description based on title screen as viewed on August 26, 2008. Includes bibliographical references (p.57-60). Also available in print.
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Macrae, Robert. "Linking music metadata." Thesis, Queen Mary, University of London, 2012. http://qmro.qmul.ac.uk/xmlui/handle/123456789/8837.

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The internet has facilitated music metadata production and distribution on an unprecedented scale. A contributing factor of this data deluge is a change in the authorship of this data from the expert few to the untrained crowd. The resulting unordered flood of imperfect annotations provides challenges and opportunities in identifying accurate metadata and linking it to the music audio in order to provide a richer listening experience. We advocate novel adaptations of Dynamic Programming for music metadata synchronisation, ranking and comparison. This thesis introduces Windowed Time Warping, Greedy, Constrained On-Line Time Warping for synchronisation and the Concurrence Factor for automatically ranking metadata. We begin by examining the availability of various music metadata on the web. We then review Dynamic Programming methods for aligning and comparing two source sequences whilst presenting novel, specialised adaptations for efficient, realtime synchronisation of music and metadata that make improvements in speed and accuracy over existing algorithms. The Concurrence Factor, which measures the degree in which an annotation of a song agrees with its peers, is proposed in order to utilise the wisdom of the crowds to establish a ranking system. This attribute uses a combination of the standard Dynamic Programming methods Levenshtein Edit Distance, Dynamic Time Warping, and Longest Common Subsequence to compare annotations. We present a synchronisation application for applying the aforementioned methods as well as a tablature-parsing application for mining and analysing guitar tablatures from the web. We evaluate the Concurrence Factor as a ranking system on a largescale collection of guitar tablatures and lyrics to show a correlation with accuracy that is superior to existing methods currently used in internet search engines, which are based on popularity and human ratings.
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Wenning, Rigo, and Sabrina Kirrane. "Compliance Using Metadata." Springer, 2018. http://epub.wu.ac.at/6497/1/ComplianceUsingMetadata.pdf.

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Everybody talks about the data economy. Data is collected stored, processed and re-used. In the EU, the GDPR creates a framework with conditions (e.g. consent) for the processing of personal data. But there are also other legal provisions containing requirements and conditions for the processing of data. Even today, most of those are hard-coded into workflows or database schemes, if at all. Data lakes are polluted with unusable data because nobody knows about usage rights or data quality. The approach presented here makes the data lake intelligent. It remembers usage limitations and promises made to the data subject or the contractual partner. Data can be used as risk can be assessed. Such a system easily reacts on new requirements. If processing is recorded back into the data lake, the recording of this information allows to prove compliance. This can be shown to authorities on demand as an audit trail. The concept is best exemplified by the SPECIAL project https://specialprivacy.eu (Scalable Policy-aware Linked Data Architecture For PrivacyPrivacy, TransparencyTransparency and ComplianceCompliance). SPECIAL has several use cases, but the basic framework is applicable beyond those cases.
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Pittges, Jeff. "Metadata view graphs : a framework for query optimization and metadata management." Diss., Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/9256.

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Books on the topic "Metadata"

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Gartner, Richard. Metadata. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40893-4.

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1956-, Qin Jian, ed. Metadata. Facet, 2008.

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Libraries, Association of Research, ed. Metadata. Association of Research Libraries, 2007.

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Ma, Jin. Metadata. Association of Research Libraries, 2007.

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1956-, Qin Jian, ed. Metadata. Neal-Schuman Publishers, 2008.

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National Information Standards Organization (U.S.). Understanding metadata. NISO Press, 2004.

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Gail, Hodge, and National Information Standards Organization (U.S.), eds. Understanding metadata. NISO Press, 2004.

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Groat, Greta De. Future directions in metadata remediation for metadata aggregators. Digital Library Federation, 2009.

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Sicilia, Miguel-Angel, and Miltiadis D. Lytras, eds. Metadata and Semantics. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-77745-0.

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Shanapinda, Stanley. Advance Metadata Fair. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-50255-3.

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Book chapters on the topic "Metadata"

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Gartner, Richard. "What Metadata Is and Why It Matters." In Metadata. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40893-4_1.

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Gartner, Richard. "Knowledge and Uncertainty." In Metadata. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40893-4_10.

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Gartner, Richard. "Clay, Goats and Trees: Metadata Before the Byte." In Metadata. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40893-4_2.

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Gartner, Richard. "Metadata Becomes Digital." In Metadata. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40893-4_3.

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Gartner, Richard. "Metadata as Ideology." In Metadata. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40893-4_4.

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Gartner, Richard. "The Ontology of Metadata." In Metadata. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40893-4_5.

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Gartner, Richard. "The Taxonomic Urge." In Metadata. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40893-4_6.

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Gartner, Richard. "From Hierarchies to Networks." In Metadata. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40893-4_7.

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Gartner, Richard. "Breaking the Silos." In Metadata. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40893-4_8.

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Gartner, Richard. "Democratizing Metadata." In Metadata. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40893-4_9.

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Conference papers on the topic "Metadata"

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Kosmynin, Boris, and Radita Liem. "Challenges in Understanding Metadata Performance: A Case of Metadata Analysis Using Score-P." In 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops). IEEE, 2024. http://dx.doi.org/10.1109/clusterworkshops61563.2024.00026.

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Nair, Rahul, Mukesh N. Chugani, and Senthil Kumar Thangavel. "MetaData." In ICIET 2020: 2020 8th International Conference on Information and Education Technology. ACM, 2020. http://dx.doi.org/10.1145/3395245.3396409.

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null. "Metadata." In IEE Colloquium on The EBU-SMPTE Task Force: Building an Infrastructure for Managing Compressed Video Systems. IEE, 1997. http://dx.doi.org/10.1049/ic:19971300.

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Qu, Yin, Andruid Kerne, Andrew M. Webb, and Aaron Herstein. "Interoperable metadata semantics with meta-metadata." In the 11th ACM symposium. ACM Press, 2011. http://dx.doi.org/10.1145/2034691.2034729.

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Sano, Masanori, Yoshihiko Kawai, Hideki Sumiyoshi, and Nobuyuki Yagi. "Metadata production framework and metadata editor." In the 14th annual ACM international conference. ACM Press, 2006. http://dx.doi.org/10.1145/1180639.1180810.

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Xu, Steven, Andrew Bennett, Doris Hoogeveen, Jey Han Lau, and Timothy Baldwin. "Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata." In Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text. Association for Computational Linguistics, 2018. http://dx.doi.org/10.18653/v1/w18-6119.

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Marshall, Catherine C. "Making metadata." In the third ACM conference. ACM Press, 1998. http://dx.doi.org/10.1145/276675.276693.

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Rogge, Boris, Rik Van de Walle, and Ignace L. Lemahieu. "Functional metadata." In ITCom 2001: International Symposium on the Convergence of IT and Communications, edited by John R. Smith, Sethuraman Panchanathan, C. C. Jay Kuo, and Chinh Le. SPIE, 2001. http://dx.doi.org/10.1117/12.434284.

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Cerjan, Ivan, Helena Tamburic, and Danijel Vjestica Obradovic. "Metadata management." In 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2018. http://dx.doi.org/10.23919/mipro.2018.8400285.

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Kerne, Andruid, Yin Qu, Andrew M. Webb, Sashikanth Damaraju, Nic Lupfer, and Abhinav Mathur. "Meta-metadata." In the 19th ACM international conference. ACM Press, 2010. http://dx.doi.org/10.1145/1871437.1871580.

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Reports on the topic "Metadata"

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Seybold, Patricia. Defining Metadata. Patricia Seybold Group, 2001. http://dx.doi.org/10.1571/psgp11-16-01cc.

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Krieger, Magali, Victor Turpin, Pierre Testor, George Petihakis, and Toste Tanhua. Gliders metadata. EuroSea, 2022. http://dx.doi.org/10.3289/eurosea_d3.10.

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Schlesinger, Barry, ed. Imagery Metadata. Open Geospatial Consortium, Inc., 2005. http://dx.doi.org/10.62973/05-015.

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Collins, Susan, Vanessa Fairhurst, and Arley Soto. Mantener sus DOI actualizados: la importancia de los metadatos (en español). Crossref, 2022. http://dx.doi.org/10.13003/djqzohtwjj.

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El webinar Mantener sus DOI actualizados: la importancia de los metadatos’ tuvo lugar el miércoles 6 de abril a las 10:00 México/10:00 Perú/10:00 Colombia/11:00 Venezuela/12:00 Argentina/15:00 UTC/17:00 España.En este webinar detallamos: La importancia de los metadatos Mantenimiento de sus metadatos Cómo identificar errores y editar sus metadatos Uso de informes Cómo encontrar más ayuda y soporte La sesión tiene una duración de 45 minutos, incluido el tiempo para preguntas. **** The webinar ‘Keeping your DOIs up to date: the importance of metadata’ in Spanish took place on Wednesday, April 6 at 10:00 Mexico/10:00 Peru/10:00 Colombia/11:00 Venezuela/12:00 Argentina/15:00 UTC/17:00 Spain.In this webinar we detail: The importance of metadata Maintaining your metadata How to identify errors and edit your metadata Use of reports How to find more help and support The session lasts 45 minutes, including time for questions.
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Cook, B. Web Host Metadata. Edited by E. Hammer-Lahav. RFC Editor, 2011. http://dx.doi.org/10.17487/rfc6415.

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Bock, Geoffrey. Why Metadata Matters. Patricia Seybold Group, 2001. http://dx.doi.org/10.1571/psgp11-15-01cc.

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Rittman, Martyn, Alainna Wrigley, Alberto Pepe, et al. Preprint metadata recommendations. Chair Oya Y. Rieger. Crossref, 2022. http://dx.doi.org/10.13003/psk3h6qey4.

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Krieger, Magali, Anthonin Lize, Long Jiang, et al. Eulerian metadata catalogue. EuroSea, 2022. http://dx.doi.org/10.3289/eurosea_d3.12.

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Carberry, Josiah. Testing Report Metadata. Crossref, 2024. http://dx.doi.org/10.5555/trm01.

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Daboo, C. The IMAP METADATA Extension. RFC Editor, 2009. http://dx.doi.org/10.17487/rfc5464.

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