Relevant bibliographies by topics / Metadata harvesting

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Metadata harvesting'

Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

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Journal articles on the topic "Metadata harvesting"

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Graham, Rebecca A. "Metadata harvesting." Library Hi Tech 19, no. 3 (September 2001): 290–95. http://dx.doi.org/10.1108/eum0000000005891.

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Greenberg, Jane. "Metadata Extraction and Harvesting." Journal of Internet Cataloging 6, no. 4 (September 24, 2004): 59–82. http://dx.doi.org/10.1300/j141v06n04_05.

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Simeoni, Fabio. "The case for metadata harvesting." Library Review 53, no. 5 (June 2004): 255–58. http://dx.doi.org/10.1108/00242530410538382.

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Arms, Caroline R. "Available and useful: OAI at the Library of Congress." Library Hi Tech 21, no. 2 (June 1, 2003): 129–39. http://dx.doi.org/10.1108/07378830310491899.

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The Library of Congress (LC) was an early adopter of the OAI Protocol for Metadata Harvesting. The protocol allows LC to make digitized historical collections available for integration into other services. The protocol was straightforward to implement and the harvesting traffic has no perceptible effect on the primary users of the American Memory project. Now that services can integrate records for cultural heritage resources from many sources, it is time to build on that experience to develop better services. How should the scarce resources available to produce metadata be deployed to most advantage to support discovery in different contexts? How might metadata harvesting be exploited to support new interfaces and enhanced navigation among related resources in digital libraries? This article starts a conversation between metadata providers and service builders by describing LC’s experience and questions that have surfaced.
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Warner, Simeon. "E‐prints and the Open Archives Initiative." Library Hi Tech 21, no. 2 (June 1, 2003): 151–58. http://dx.doi.org/10.1108/07378830310479794.

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The Open Archives Initiative (OAI) was created as a practical way to promote interoperability between e‐print repositories. Although the scope of the OAI has been broadened, e‐print repositories still represent a significant fraction of OAI data providers. This article presents a brief survey of OAI e‐print repositories, and of services using metadata harvested from e‐print repositories using the OAI protocol for metadata harvesting (OAI‐PMH). It then discusses several situations where metadata harvesting may be used to further improve the utility of e‐print archives as a component of the scholarly communication infrastructure.
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Robinson, Ken, Jeff Edmunds, and Stephen C. Mattes. "Leveraging Author-Supplied Metadata, OAI-PMH, and XSLT to Catalog ETDs: A Case Study at a Large Research Library." Library Resources & Technical Services 60, no. 3 (July 28, 2016): 191. http://dx.doi.org/10.5860/lrts.60n3.191.

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Most academic theses and dissertations are now born-digital assets (i.e., electronic theses and dissertations). As such, they often coexist with author-supplied metadata that has the potential for being repurposed and enhanced to facilitate discovery and access in an online environment. The authors describe the evolution of the electronic thesis and dissertation (ETD) cataloging workflow at a large research library, from the era of print to the present day, with emphasis on the challenges and opportunities of harvesting author-supplied metadata for cataloging ETDs. The authors provide detailed explanations of the harvesting process, creating code for the metadata transformations, loading records, and quality assurance procedures.
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Iqbal, Taufiq, and Syarifuddin Syarifuddin. "Pengembangan Repository berbasis Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) pada Standar Metadata Encoding and Transmission Standard (METS) dan MPEG-21 Digital Item Declaration Language (DIDL)." Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) 4, no. 2 (December 6, 2020): 7. http://dx.doi.org/10.35870/jtik.v5i1.161.

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The purpose of this research is to build a repository model and feature the Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) and the Metadata Encoding and Transmission Standard (METS) and MPEG-21 Digital Item Declaration Language (DIDL). The research model used is qualitative research and methods. Application development used is Fourth Generation Techniques (4GT). From the results of the development of the repository by involving the Archives Initiative Protocol for Metadata Harvesting (OAI-PMH) module on the Metadata Encoding and Transmission Standard (METS) and MPEG-21 Digital Item Declaration Language (DIDL), it has been applied to the repository application that was built. The test results using the OAI-PMH URL using the OVAL validator tool found that there were no problems and problems in validating and verifying data in the Identify, ListMetadataFormats, ListSets, ListIdentifiers, ListRecords, and XML Validation commands. While the test results show the success rate in crawling each metadata in the web repository, the average success rate of crawling metadata by Google Scholar is 90%, while the error is known to be 10% because some documents do not have complete metadata such as bibliography and uploaded documents.
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Saputri, Pebrida, Zainal Arifin, and Yulianto Yulianto. "Rancang Bangun Web Repositori Skripsi Mahasiswa Berbasis Oai-Pmh 2.0 Menggunakan Google App Engine (Studi Kasus : Program Studi Ilmu Komputer Universitas Mulawarman)." Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer 11, no. 1 (February 11, 2016): 64. http://dx.doi.org/10.30872/jim.v11i1.206.

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Repositori umumnya merupakan tempat penyimpanan yang bersifat onlineuntuk mengumpulkan, mengelola, menyebarkan dan melestarikan karya-karyailmiah yang dihasilkan atau outputdari civitas akademik sebuah perguruan tinggi. Dalam lingkup civitas perguruan tinggi repositori sendiri dikenal dengan repositori institusi yang berhubungan erat dengan digital library. Universitas Mulawarman, sejauh ini belum mempunyai wadah untuk menampung semua kumpulan karya ilmiah termasuk dalam hal ini tugas akhir atau skripsi secara online, melainkan hanya dalam bentuk buku yang di kumpulkan di perpustakaan dari fakultas masing-masing. Untuk memudahkan terjadinya pertukaran informasi hasil-hasil karya ilmiah yang telah dihasilkan dibutuhkan suatu sistem harvesting yang terhubung dalam jaringan repositori digital. Sistem harvesting yang akan diimplementasikan adalah sebuah harvester yang menggunakan standar Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH), yang merupakan teknologi yang bisa digunakan dan diimplementasikan untuk melakukan standarisasi metadata dari koleksi digital. OAI-PMH digunakan untuk membantu dalam proses penyebaran dan akses metadata yang terdapat didalamweb repositori tersebut yang berjalan diatas Google App Enginedan berguna untuk memudahkan availibilitas terhadap komunikasi akademis.
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Shreeves, Sarah L., Joanne S. Kaczmarek, and Timothy W. Cole. "Harvesting cultural heritage metadata using the OAI Protocol." Library Hi Tech 21, no. 2 (June 2003): 159–69. http://dx.doi.org/10.1108/07378830310479802.

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Arms, William Y., Naomi Dushay, Dave Fulker, and Carl Lagoze. "A case study in metadata harvesting: the NSDL." Library Hi Tech 21, no. 2 (June 2003): 228–37. http://dx.doi.org/10.1108/07378830310479866.

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Dissertations / Theses on the topic "Metadata harvesting"

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Ervine, Michelle D. "Design and Development of a Performance Support Tool for the Digital Curation of Non-Textual Learning Objects." Diss., Virginia Tech, 2016. http://hdl.handle.net/10919/79847.

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As more artifacts are created in a digital format, there is a need to have metadata associated with the artifacts to increase the chance for resource discovery by others. This is especially the case with non-textual artifacts. Once these artifacts have descriptive metadata associated with them, they have the potential to become learning objects which can be used by others in their own teaching and research. This study explored the design and development of a performance support tool to create descriptive metadata by users that are most familiar with the non-textual learning objects, yet may not have an understanding of the various metadata schemas and standards required by other institutional/knowledge repositories and search engines. In order to create such a tool, certain features need to be included in order for users to create appropriate metadata. The tool needs to have Unicode character support in order metadata entry, display and searching. Research found that characteristics such as controlled vocabularies, tooltips, validation rules, and having a relevant image on the same screen as the metadata form help users to create appropriate and accurate metadata; yet, no existing tool was found that contained all of these features to assist faculty in describing their non-textual learning objects. These characteristics were operationalized in the design and development of the performance support tool. Findings from the evaluation of the tool indicate that the owner of the learning objects was able to create a customized, non-standard metadata form that users were then able to use to create appropriate and accurate descriptive metadata.
Ph. D.
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Tharani, Karim. "Linked Data in Libraries: A Case Study of Harvesting and Sharing Bibliographic Metadata with BIBFRAME." 2015. http://hdl.handle.net/10388/6667.

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By way of a case study this paper illustrates and evaluates the Bibliographic Framework (or BIBFRAME) as means for harvesting and sharing bibliographic metadata over the Web for libraries. BIBFRAME is an emerging framework developed by the Library of Congress for bibliographic description based on Linked Data. Much like Semantic Web, the goal of Linked Data is to make Web “data aware” and transform the existing Web of documents into a Web of data. Linked Data leverages the existing Web infrastructure and allows linking and sharing of structured data for human and machine consumption. The BIBFRAME model attempts to contextualize the Linked Data technology for libraries. Library applications and systems contain high-quality structured metadata but this data is generally static in its presentation and seldom integrated with other internal metadata sources or linked to external Web resources. With BIBFRAME existing disparate library metadata sources such as catalogs and digital collections can be harvested and integrated over the Web. In addition, bibliographic data enriched with Linked Data could offer richer navigational control and access points for users. With Linked Data principles, metadata from libraries could also become harvestable by search engines, transforming dormant catalogs and digital collections into active knowledge repositories. Thus experimenting with Linked Data using existing bibliographic metadata holds the potential to empower libraries to harness the reach of commercial search engines to continuously discover, navigate, and obtain new domain specific knowledge resources on the basis of their verified metadata. The initial part of the paper introduces BIBFRAME and discusses Linked Data in the context of libraries. The final part of this paper outlines a step-by-step process for implementing BIBFRAME with existing library metadata.
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Enger, Magnus. "The concept of 'overlay' in relation to the Open Archives Initiative Protocol for Metadata Harvesting (OAI-PMH)." Thesis, 2005. http://eprints.rclis.org/6960/1/master.pdf.

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The evolution of scholarly documentation is discussed in light of the theory of the "ecology of documentation". The OAI-PMH is presented, and a survey of features found in existing service providers/overlays is presented. A prototype overlay incorporating features of wikis and "tagging" is presented along with some thoughts on how overlays may evolve and differentiate in the future.
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Lochman, Martin. "Služby nad digitálními archivy v oblasti vědy a výzkumu." Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-335901.

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The thesis focuses on various information services over digital archives and institutional repositories in the area of science and research. It aims to ascertain these online services and introduce, analyse and assess selected examples in detail. Their quantitative as well as qualitative features are emphasized - The work is logically divided into four chapters. The first one defines the basic terminology and outlines the contemporary status of scholarly communication on the Internet. The second chapter introduces a comprehensive list of services as well as their suggested typology. The third chapter constitutes the core of the thesis and presents the descriptions and analysys of the selected services. The fourth final part includes the comparison of their relevant parameters, final assessment and the perspectives of their future development. Keywords digital archive, institutional repository, scholarly communication, information services, OAI- PMH, metadata harvesting, open access
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Books on the topic "Metadata harvesting"

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Cole, Timothy W. Using the Open Archives Initiative protocol for metadata harvesting. Westport, Conn: Libraries Unlimited, 2007.

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L, Shreeves Sarah, Riley Jenn, Hagedorn Kat, National Science Digital Library, and Digital Library Federation, eds. Best practices for OAI PMH data provider implementations and shareable metadata: DLF/NSDL working group on OAI PMH best practices. Washington, D.C: Digital Library Federation, 2007.

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L, Shreeves Sarah, Riley Jenn, Hagedorn Kat, National Science Digital Library, and Digital Library Federation, eds. Best practices for OAI PMH data provider implementations and shareable metadata: DLF/NSDL working group on OAI PMH best practices. Washington, D.C: Digital Library Federation, 2007.

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Using the Open Archives Initiative Protocol for Metadata Harvesting (Third Millennium Cataloging). Libraries Unlimited, 2007.

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Mills, Kevin A. Computer forensics: An analysis of metadata can reveal the pedophile. 2008.

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Maybury, Mark T. Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring. IEEE Computer Society Press, 2012.

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Multimedia information extraction: Advances in video, audio, and imagery analysis for search, data mining, surveillance, and authoring. Hoboken, N.J: Wiley, 2012.

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Maybury, Mark T. Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring. IEEE Computer Society Press, 2012.

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Maybury, Mark T. Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring. IEEE Computer Society Press, 2012.

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Maybury, Mark T. Multimedia Information Extraction: Advances in Video, Audio, and Imagery Analysis for Search, Data Mining, Surveillance and Authoring. Wiley & Sons, Limited, John, 2012.

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Book chapters on the topic "Metadata harvesting"

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Psyrra, Georgia, and Eleni Mangina. "Harvesting Metadata for XR Digital Learning Objects." In Higher Education Learning Methodologies and Technologies Online, 561–76. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-29800-4_43.

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AbstractThe current work is a proposal for Moodle administrators who aim to provide content creators and teachers with capabilities to describe in a semi-automatic way their learning resources with LOM-based metadata and make these metadata available to search service providers so that other stakeholders can easily find and retrieve them. It was composed within ARETE project to support reusability and discoverability of 3D/AR and other types of educational resources included in the project’s Moodle digital repository.Aiming on utilizing previous work on this domain, the code of two existing plugins was modified and enriched to serve the project’s needs. This paper aims to demonstrate in detail two plugins that will be utilized in ARETE’s Moodle digital repository to support the discoverability of learning resources by creating and exposing their metadata to make them available for harvesting. The content in the ARETE repository is particularly relevant to 3D/AR learning activities created through an XR authoring toolkit. Nevertheless, educational content in other formats continues to be supported by the aforementioned plugins.The integration of IEEE-LOM and OAI-PMH standards to a Moodle repository seems to be a feasible way to enhance the development of learning content by utilizing relevant already existing resources that can be easily found and retrieved. However, the difficulty of finding service providers that could support the collection of learning resource metadata and be willing to build search engines on top of them suggests the need to consider different approaches.
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Schindler, Uwe, Benny Bräuer, and Michael Diepenbroek. "Harvesting of Metadata with Open Access Tools." In Earth System Modelling - Volume 6, 13–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37244-5_3.

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Halbert, Martin, Joanne Kaczmarek, and Kat Hagedorn. "Findings from the Mellon Metadata Harvesting Initiative." In Research and Advanced Technology for Digital Libraries, 58–69. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45175-4_7.

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Nelson, Michael L., Herbert Van de Sompel, Xiaoming Liu, Terry L. Harrison, and Nathan McFarland. "mod_oai: An Apache Module for Metadata Harvesting." In Research and Advanced Technology for Digital Libraries, 509–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11551362_58.

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Agathos, Michail, and Sarantos Kapidakis. "Harvesting Metadata for Immovable Monuments from “Local Inventories” and Mapping Them to Standards." In Metadata and Semantic Research, 424–32. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24731-6_42.

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Doshi, Rushabh D., Chintan B. Sidpara, and Kunal U. Khimani. "Automatic Metadata Harvesting from Digital Content Using NLP." In Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 1, 479–85. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30933-0_48.

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Zheng, Qiaoying, Wei Zhu, and Zongying Yang. "OAI Protocol for Chinese Culture Resources Metadata Harvesting." In Digital Libraries: International Collaboration and Cross-Fertilization, 195–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30544-6_20.

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Simeoni, Fabio. "Servicing the Federation: The Case for Metadata Harvesting." In Research and Advanced Technology for Digital Libraries, 389–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30230-8_35.

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Kapidakis, Sarantos. "Metadata Synthesis and Updates on Collections Harvested Using the Open Archive Initiative Protocol for Metadata Harvesting." In Digital Libraries for Open Knowledge, 16–31. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00066-0_2.

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Menzel, Michael. "Developing a Metadata Profile for Higher Education OER Repositories." In Distributed Learning Ecosystems, 263–78. Wiesbaden: Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-38703-7_14.

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AbstractTo provide Open Educational Resources (OER) according to the recognised FAIR principles (improve Findability, Accessibility, Interoperability, and Reuse of digital assets), it is necessary to describe the educational material by means of meaningful metadata. There are conflicting demands to comply with. On the one hand, the educational resources should be described in as much detail as possible for accurately fitting search results. On the other hand, only strictly necessary information should be obligatory to keep the obstacles for authors as low as possible. An additional goal is to allow easy connection between repositories, thus allowing federated search and harvesting of metadata, for example, by search engines or other interested parties. Operators of OER repositories from several federal states in Germany (HOOU, OERNDS, ORCA.nrw, VCRP, VHB, ZOERR) have developed a metadata profile focussing on OER in the context of higher education. The initiators strive to reach the mentioned objectives and to establish a standard in the field. The metadata profile is based on the well-established Learning Object Metadata Standard (LOM). The chapter describes the decision process and why certain choices are made to reach the intended goals. Furthermore, the importance of editorial supervision for a sound quality of the material and metadata will be discussed. The chances and challenges are illustrated based on practical experiences with the establishment and daily operation of the Zentrales OER Repositorium der Hochschulen in Baden- Württemberg (ZOERR).
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Conference papers on the topic "Metadata harvesting"

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Kapidakis, Sarantos. "Rating quality in metadata harvesting." In PETRA '15: 8th PErvasive Technologies Related to Assistive Environments. New York, NY, USA: ACM, 2015. http://dx.doi.org/10.1145/2769493.2769512.

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Dicheva, Darina, Christo Dichev, and Petko Valtchev. "Integrating Metadata Harvesting with Semantic Search." In 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2008. http://dx.doi.org/10.1109/wiiat.2008.153.

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Nelson, Michael. "Session details: Federating and harvesting metadata." In JCDL02: Joint Conference on Digital Libraries 2002. New York, NY, USA: ACM, 2002. http://dx.doi.org/10.1145/3247744.

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Neumann, Mandy, Philipp Schaer, Christopher Michels, and Ralf Schenkel. "Prioritizing and Scheduling Conferences for Metadata Harvesting in dblp." In JCDL '18: The 18th ACM/IEEE Joint Conference on Digital Libraries. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3197026.3197069.

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Flotynski, Jakub. "Harvesting of semantic metadata from distributed 3D web content." In 2013 6th International Conference on Human System Interactions (HSI). IEEE, 2013. http://dx.doi.org/10.1109/hsi.2013.6577822.

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Mazurek, Cezary, Marcin Mielnicki, and Marcin Werla. "Selective harvesting of regional digital libraries and national metadata aggregators." In the 2009 joint international conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1555400.1555497.

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Suleman, Hussein. "Introduction to the open archives initiative protocol for metadata harvesting." In the second ACM/IEEE-CS joint conference. New York, New York, USA: ACM Press, 2002. http://dx.doi.org/10.1145/544220.544363.

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Nguyen, Minh Chau, Heesun Won, Siwoon Son, Yerin Woo, and Hyeonjae Jeong. "Metadata Management and Harvesting System in Smart Open Data As a Service." In 2022 24th International Conference on Advanced Communication Technology (ICACT). IEEE, 2022. http://dx.doi.org/10.23919/icact53585.2022.9728796.

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Koulouris, Alexandros, Emmanouel Garoufallou, and Evangelos Banos. "Automated Metadata Harvesting Among Greek Repositories in the Framework of EuropeanaLocal: Dealing with Interoperability." In Proceedings of the International Conference on QQML2010. WORLD SCIENTIFIC, 2011. http://dx.doi.org/10.1142/9789814350303_0040.

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Kapidakis, Sarantos. "Repeated Values on Collections Harvested using the Open Archive Initiative Protocol for Metadata Harvesting." In MEDES '19: 11th International Conference on Management of Digital EcoSystems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3297662.3365795.

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