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  • × theme_ss:"Metadaten"
  • × type_ss:"el"
  • × year_i:[2010 TO 2020}
  1. Roy, W.; Gray, C.: Preparing existing metadata for repository batch import : a recipe for a fickle food (2018) 0.02
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    Abstract
    In 2016, the University of Waterloo began offering a mediated copyright review and deposit service to support the growth of our institutional repository UWSpace. This resulted in the need to batch import large lists of published works into the institutional repository quickly and accurately. A range of methods have been proposed for harvesting publications metadata en masse, but many technological solutions can easily become detached from a workflow that is both reproducible for support staff and applicable to a range of situations. Many repositories offer the capacity for batch upload via CSV, so our method provides a template Python script that leverages the Habanero library for populating CSV files with existing metadata retrieved from the CrossRef API. In our case, we have combined this with useful metadata contained in a TSV file downloaded from Web of Science in order to enrich our metadata as well. The appeal of this 'low-maintenance' method is that it provides more robust options for gathering metadata semi-automatically, and only requires the user's ability to access Web of Science and the Python program, while still remaining flexible enough for local customizations.
    Date
    10.11.2018 16:27:22
    Type
    a
  2. Wolfe, EW.: a case study in automated metadata enhancement : Natural Language Processing in the humanities (2019) 0.00
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    Abstract
    The Black Book Interactive Project at the University of Kansas (KU) is developing an expanded corpus of novels by African American authors, with an emphasis on lesser known writers and a goal of expanding research in this field. Using a custom metadata schema with an emphasis on race-related elements, each novel is analyzed for a variety of elements such as literary style, targeted content analysis, historical context, and other areas. Librarians at KU have worked to develop a variety of computational text analysis processes designed to assist with specific aspects of this metadata collection, including text mining and natural language processing, automated subject extraction based on word sense disambiguation, harvesting data from Wikidata, and other actions.
    Type
    a
  3. Edmunds, J.: Roadmap to nowhere : BIBFLOW, BIBFRAME, and linked data for libraries (2017) 0.00
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    Abstract
    On December 12, 2016, Carl Stahmer and MacKenzie Smith presented at the CNI Members Fall Meeting about the BIBFLOW project, self-described on Twitter as "a two-year project of the UC Davis University Library and Zepheira investigating the future of library technical services." In her opening remarks, Ms. Smith, University Librarian at UC Davis, stated that one of the goals of the project was to devise a roadmap "to get from where we are today, which is kind of the 1970s with a little lipstick on it, to 2020, which is where we're going to be very soon." The notion that where libraries are today is somehow behind the times is one of the commonly heard rationales behind a move to linked data. Stated more precisely: - Libraries devote considerable time and resources to producing high-quality bibliographic metadata - This metadata is stored in unconnected silos - This metadata is in a format (MARC) that is incompatible with technologies of the emerging Semantic Web - The visibility of library metadata is diminished as a result of the two points above Are these assertions true? If yes, is linked data the solution?
    Type
    a
  4. Farney, T.: using Google Tag Manager to share code : Designing shareable tags (2019) 0.00
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    Abstract
    Sharing code between libraries is not a new phenomenon and neither is Google Tag Manager (GTM). GTM launched in 2012 as a JavaScript and HTML manager with the intent of easing the implementation of different analytics trackers and marketing scripts on a website. However, it can be used to load other code using its tag system onto a website. It's a simple process to export and import tags facilitating the code sharing process without requiring a high degree of coding experience. The entire process involves creating the script tag in GTM, exporting the GTM content into a sharable export file for someone else to import into their library's GTM container, and finally publishing that imported file to push the code to the website it was designed for. This case study provides an example of designing and sharing a GTM container loaded with advanced Google Analytics configurations such as event tracking and custom dimensions for other libraries using the Summon discovery service. It also discusses processes for designing GTM tags for export, best practices on importing and testing GTM content created by other libraries and concludes with evaluating the pros and cons of encouraging GTM use.
    Type
    a
  5. Suranofsky, M.; McColl, L.: a Google sheets add-on that uses the WorldCat search API : MatchMarc (2019) 0.00
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    Abstract
    Lehigh University Libraries has developed a new tool for querying WorldCat using the WorldCat Search API. The tool is a Google Sheet Add-on and is available now via the Google Sheets Add-ons menu under the name "MatchMarc." The add-on is easily customizable, with no knowledge of coding needed. The tool will return a single "best" OCLC record number, and its bibliographic information for a given ISBN or LCCN, allowing the user to set up and define "best." Because all of the information, the input, the criteria, and the results exist in the Google Sheets environment, efficient workflows can be developed from this flexible starting point. This article will discuss the development of the add-on, how it works, and future plans for development.
    Type
    a
  6. Neumann, M.; Steinberg, J.; Schaer, P.: Web-ccraping for non-programmers : introducing OXPath for digital library metadata harvesting (2017) 0.00
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    Abstract
    Building up new collections for digital libraries is a demanding task. Available data sets have to be extracted which is usually done with the help of software developers as it involves custom data handlers or conversion scripts. In cases where the desired data is only available on the data provider's website custom web scrapers are needed. This may be the case for small to medium-size publishers, research institutes or funding agencies. As data curation is a typical task that is done by people with a library and information science background, these people are usually proficient with XML technologies but are not full-stack programmers. Therefore we would like to present a web scraping tool that does not demand the digital library curators to program custom web scrapers from scratch. We present the open-source tool OXPath, an extension of XPath, that allows the user to define data to be extracted from websites in a declarative way. By taking one of our own use cases as an example, we guide you in more detail through the process of creating an OXPath wrapper for metadata harvesting. We also point out some practical things to consider when creating a web scraper (with OXPath). On top of that, we also present a syntax highlighting plugin for the popular text editor Atom that we developed to further support OXPath users and to simplify the authoring process.
    Type
    a
  7. Stevens, G.: New metadata recipes for old cookbooks : creating and analyzing a digital collection using the HathiTrust Research Center Portal (2017) 0.00
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    Abstract
    The Early American Cookbooks digital project is a case study in analyzing collections as data using HathiTrust and the HathiTrust Research Center (HTRC) Portal. The purposes of the project are to create a freely available, searchable collection of full-text early American cookbooks within the HathiTrust Digital Library, to offer an overview of the scope and contents of the collection, and to analyze trends and patterns in the metadata and the full text of the collection. The digital project has two basic components: a collection of 1450 full-text cookbooks published in the United States between 1800 and 1920 and a website to present a guide to the collection and the results of the analysis. This article will focus on the workflow for analyzing the metadata and the full-text of the collection. The workflow will cover: 1) creating a searchable public collection of full-text titles within the HathiTrust Digital Library and uploading it to the HTRC Portal, 2) analyzing and visualizing legacy MARC data for the collection using MarcEdit, OpenRefine and Tableau, and 3) using the text analysis tools in the HTRC Portal to look for trends and patterns in the full text of the collection.
    Type
    a
  8. Kuzma, M.: Are you able to find the maps you need? (2019) 0.00
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  9. DC-2013: International Conference on Dublin Core and Metadata Applications : Online Proceedings (2013) 0.00
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    Abstract
    The collocated conferences for DC-2013 and iPRES-2013 in Lisbon attracted 392 participants from over 37 countries. In addition to the Tuesday through Thursday conference days comprised of peer-reviewed paper and special sessions, 223 participants attended pre-conference tutorials and 246 participated in post-conference workshops for the collocated events. The peer-reviewed papers and presentations are available on the conference website Presentation page (URLs above). In sum, it was a great conference. In addition to links to PDFs of papers, project reports and posters (and their associated presentations), the published proceedings include presentation PDFs for the following: KEYNOTES Darling, we need to talk - Gildas Illien TUTORIALS -- Ivan Herman: "Introduction to Linked Open Data (LOD)" -- Steven Miller: "Introduction to Ontology Concepts and Terminology" -- Kai Eckert: "Metadata Provenance" -- Daniel Garjio: "The W3C Provenance Ontology" SPECIAL SESSIONS -- "Application Profiles as an Alternative to OWL Ontologies" -- "Long-term Preservation and Governance of RDF Vocabularies (W3C Sponsored)" -- "Data Enrichment and Transformation in the LOD Context: Poor & Popular vs Rich & Lonely--Can't we achieve both?" -- "Why Schema.org?"
    Content
    FULL PAPERS Provenance and Annotations for Linked Data - Kai Eckert How Portable Are the Metadata Standards for Scientific Data? A Proposal for a Metadata Infrastructure - Jian Qin, Kai Li Lessons Learned in Implementing the Extended Date/Time Format in a Large Digital Library - Hannah Tarver, Mark Phillips Towards the Representation of Chinese Traditional Music: A State of the Art Review of Music Metadata Standards - Mi Tian, György Fazekas, Dawn Black, Mark Sandler Maps and Gaps: Strategies for Vocabulary Design and Development - Diane Ileana Hillmann, Gordon Dunsire, Jon Phipps A Method for the Development of Dublin Core Application Profiles (Me4DCAP V0.1): Aescription - Mariana Curado Malta, Ana Alice Baptista Find and Combine Vocabularies to Design Metadata Application Profiles using Schema Registries and LOD Resources - Tsunagu Honma, Mitsuharu Nagamori, Shigeo Sugimoto Achieving Interoperability between the CARARE Schema for Monuments and Sites and the Europeana Data Model - Antoine Isaac, Valentine Charles, Kate Fernie, Costis Dallas, Dimitris Gavrilis, Stavros Angelis With a Focused Intent: Evolution of DCMI as a Research Community - Jihee Beak, Richard P. Smiraglia Metadata Capital in a Data Repository - Jane Greenberg, Shea Swauger, Elena Feinstein DC Metadata is Alive and Well - A New Standard for Education - Liddy Nevile Representation of the UNIMARC Bibliographic Data Format in Resource Description Framework - Gordon Dunsire, Mirna Willer, Predrag Perozic
  10. Hook, P.A.; Gantchev, A.: Using combined metadata sources to visualize a small library (OBL's English Language Books) (2017) 0.00
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    Abstract
    Data from multiple knowledge organization systems are combined to provide a global overview of the content holdings of a small personal library. Subject headings and classification data are used to effectively map the combined book and topic space of the library. While harvested and manipulated by hand, the work reveals issues and potential solutions when using automated techniques to produce topic maps of much larger libraries. The small library visualized consists of the thirty-nine, digital, English language books found in the Osama Bin Laden (OBL) compound in Abbottabad, Pakistan upon his death. As this list of books has garnered considerable media attention, it is worth providing a visual overview of the subject content of these books - some of which is not readily apparent from the titles. Metadata from subject headings and classification numbers was combined to create book-subject maps. Tree maps of the classification data were also produced. The books contain 328 subject headings. In order to enhance the base map with meaningful thematic overlay, library holding count data was also harvested (and aggregated from duplicates). This additional data revealed the relative scarcity or popularity of individual books.
    Type
    a
  11. Hodges, D.W.; Schlottmann, K.: better archival migration outcomes with Python and the Google Sheets API : Reporting from the archives (2019) 0.00
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    Abstract
    Columbia University Libraries recently embarked on a multi-phase project to migrate nearly 4,000 records describing over 70,000 linear feet of archival material from disparate sources and formats into ArchivesSpace. This paper discusses tools and methods brought to bear in Phase 2 of this project, which required us to look closely at how to integrate a large number of legacy finding aids into the new system and merge descriptive data that had diverged in myriad ways. Using Python, XSLT, and a widely available if underappreciated resource-the Google Sheets API-archival and technical library staff devised ways to efficiently report data from different sources, and present it in an accessible, user-friendly way,. Responses were then fed back into automated data remediation processes to keep the migration project on track and minimize manual intervention. The scripts and processes developed proved very effective, and moreover, show promise well beyond the ArchivesSpace migration. This paper describes the Python/XSLT/Sheets API processes developed and how they opened a path to move beyond CSV-based reporting with flexible, ad-hoc data interfaces easily adaptable to meet a variety of purposes.
    Type
    a
  12. What is Schema.org? (2011) 0.00
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    Abstract
    This site provides a collection of schemas, i.e., html tags, that webmasters can use to markup their pages in ways recognized by major search providers. Search engines including Bing, Google and Yahoo! rely on this markup to improve the display of search results, making it easier for people to find the right web pages. Many sites are generated from structured data, which is often stored in databases. When this data is formatted into HTML, it becomes very difficult to recover the original structured data. Many applications, especially search engines, can benefit greatly from direct access to this structured data. On-page markup enables search engines to understand the information on web pages and provide richer search results in order to make it easier for users to find relevant information on the web. Markup can also enable new tools and applications that make use of the structure. A shared markup vocabulary makes easier for webmasters to decide on a markup schema and get the maximum benefit for their efforts. So, in the spirit of sitemaps.org, Bing, Google and Yahoo! have come together to provide a shared collection of schemas that webmasters can use.
  13. Bartczak, J.; Glendon, I.: Python, Google Sheets, and the Thesaurus for Graphic Materials for efficient metadata project workflows (2017) 0.00
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    Abstract
    In 2017, the University of Virginia (U.Va.) will launch a two year initiative to celebrate the bicentennial anniversary of the University's founding in 1819. The U.Va. Library is participating in this event by digitizing some 20,000 photographs and negatives that document student life on the U.Va. grounds in the 1960s and 1970s. Metadata librarians and archivists are well-versed in the challenges associated with generating digital content and accompanying description within the context of limited resources. This paper describes how technology and new approaches to metadata design have enabled the University of Virginia's Metadata Analysis and Design Department to rapidly and successfully generate accurate description for these digital objects. Python's pandas module improves efficiency by cleaning and repurposing data recorded at digitization, while the lxml module builds MODS XML programmatically from CSV tables. A simplified technique for subject heading selection and assignment in Google Sheets provides a collaborative environment for streamlined metadata creation and data quality control.
    Type
    a
  14. ¬The Dublin Core Metadata Element Set (2012) 0.00
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    Abstract
    Defines fifteen metadata elements for resource description in a cross-disciplinary information environment.
  15. Wallis, R.; Isaac, A.; Charles, V.; Manguinhas, H.: Recommendations for the application of Schema.org to aggregated cultural heritage metadata to increase relevance and visibility to search engines : the case of Europeana (2017) 0.00
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    Abstract
    Europeana provides access to more than 54 million cultural heritage objects through its portal Europeana Collections. It is crucial for Europeana to be recognized by search engines as a trusted authoritative repository of cultural heritage objects. Indeed, even though its portal is the main entry point, most Europeana users come to it via search engines. Europeana Collections is fuelled by metadata describing cultural objects, represented in the Europeana Data Model (EDM). This paper presents the research and consequent recommendations for publishing Europeana metadata using the Schema.org vocabulary and best practices. Schema.org html embedded metadata to be consumed by search engines to power rich services (such as Google Knowledge Graph). Schema.org is an open and widely adopted initiative (used by over 12 million domains) backed by Google, Bing, Yahoo!, and Yandex, for sharing metadata across the web It underpins the emergence of new web techniques, such as so called Semantic SEO. Our research addressed the representation of the embedded metadata as part of the Europeana HTML pages and sitemaps so that the re-use of this data can be optimized. The practical objective of our work is to produce a Schema.org representation of Europeana resources described in EDM, being the richest as possible and tailored to Europeana's realities and user needs as well the search engines and their users.
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  16. Husevag, A.-S.R.: Named entities in indexing : a case study of TV subtitles and metadata records (2016) 0.00
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  17. Hardesty, J.L.; Young, J.B.: ¬The semantics of metadata : Avalon Media System and the move to RDF (2017) 0.00
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    Abstract
    The Avalon Media System (Avalon) provides access and management for digital audio and video collections in libraries and archives. The open source project is led by the libraries of Indiana University Bloomington and Northwestern University and is funded in part by grants from The Andrew W. Mellon Foundation and Institute of Museum and Library Services. Avalon is based on the Samvera Community (formerly Hydra Project) software stack and uses Fedora as the digital repository back end. The Avalon project team is in the process of migrating digital repositories from Fedora 3 to Fedora 4 and incorporating metadata statements using the Resource Description Framework (RDF) instead of XML files accompanying the digital objects in the repository. The Avalon team has worked on the migration path for technical metadata and is now working on the migration paths for structural metadata (PCDM) and descriptive metadata (from MODS XML to RDF). This paper covers the decisions made to begin using RDF for software development and offers a window into how Semantic Web technology functions in the real world.
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  18. Panskus, E.J.: Metadaten zur Identifizierung von Falschmeldungen im digitalen Raum : eine praktische Annäherung (2019) 0.00
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  19. Bohne-Lang, A.: Semantische Metadaten für den Webauftritt einer Bibliothek (2016) 0.00
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  20. Dunsire, G.; Willer, M.: Initiatives to make standard library metadata models and structures available to the Semantic Web (2010) 0.00
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    Abstract
    This paper describes recent initiatives to make standard library metadata models and structures available to the Semantic Web, including IFLA standards such as Functional Requirements for Bibliographic Records (FRBR), Functional Requirements for Authority Data (FRAD), and International Standard Bibliographic Description (ISBD) along with the infrastructure that supports them. The FRBR Review Group is currently developing representations of FRAD and the entityrelationship model of FRBR in resource description framework (RDF) applications, using a combination of RDF, RDF Schema (RDFS), Simple Knowledge Organisation System (SKOS) and Web Ontology Language (OWL), cross-relating both models where appropriate. The ISBD/XML Task Group is investigating the representation of ISBD in RDF. The IFLA Namespaces project is developing an administrative and technical infrastructure to support such initiatives and encourage uptake of standards by other agencies. The paper describes similar initiatives with related external standards such as RDA - resource description and access, REICAT (the new Italian cataloguing rules) and CIDOC Conceptual Reference Model (CRM). The DCMI RDA Task Group is working with the Joint Steering Committee for RDA to develop Semantic Web representations of RDA structural elements, which are aligned with FRBR and FRAD, and controlled metadata content vocabularies. REICAT is also based on FRBR, and an object-oriented version of FRBR has been integrated with CRM, which itself has an RDF representation. CRM was initially based on the metadata needs of the museum community, and is now seeking extension to the archives community with the eventual aim of developing a model common to the main cultural information domains of archives, libraries and museums. The Vocabulary Mapping Framework (VMF) project has developed a Semantic Web tool to automatically generate mappings between metadata models from the information communities, including publishers. The tool is based on several standards, including CRM, FRAD, FRBR, MARC21 and RDA.