Search (20 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Formalerschließung"
  • × year_i:[2020 TO 2030}
  1. Fisher, M.; Rafferty, P.: Current issues with cataloging printed music : challenges facing staff and systems (2024) 0.02 
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    Abstract
    This paper explores the challenges currently faced by music cataloguers, with particular regard to their training and the systems they work with. It asks whether music catalogers feel they have enough support and training to do their work; it investigates the skills they require, and how they might be taught. It also examines whether systems need to be adapted to suit printed music. The project focuses on staff responsible for cataloging printed music at music libraries in the UK (public, academic, legal deposit and specialist). Here, the term "cataloger" refers to any member of staff who catalogs printed music.
  2. Dutkiewicz, S.M.: Application of faceted vocabularies to cataloging of textbooks (2023) 0.02 
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    Abstract
    This article discusses the practical application of faceted vocabularies to the cataloging of textbooks. Consistent application of faceted vocabularies, specifically Library of Congress Genre/Form Terms for Library and Archival Materials (LCGFT) and Library of Congress Demographic Group Terms (LCDGT), would enhance the discovery of these resources. Alternatives to special cases in Subject Heading Manual H 2187 are proposed. A case study demonstrating the application of LCDGT is provided. Figures illustrate the results of the proposed best practices. The article includes four tables that are designed to streamline term assignments. Consistent cataloging of genre and audience prepares legacy records for future automated enhancement.
  3. Hjoerland, B.: Bibliographical control (2023) 0.01 
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    Abstract
    Section 1 of this article discusses the concept of bibliographical control and makes a distinction between this term, "bibliographical description," and related terms, which are often confused in the literature. It further discusses the function of bibliographical control and criticizes Patrick Wilson's distinction between "exploitative control" and "descriptive control." Section 2 presents projects for establishing bibliographic control from the Library of Alexandria to the Internet and Google, and it is found that these projects have often been dominated by a positivist dream to make all information in the world available to everybody. Section 3 discusses the theoretical problems of providing comprehensive coverage and retrieving documents represented in databases and argues that 100% coverage and retrievability is an unobtainable ideal. It is shown that bibliographical control has been taken very seriously in the field of medicine, where knowledge of the most important findings is of utmost importance. In principle, it is equally important in all other domains. The conclusion states that the alternative to a positivist dream of complete bibliographic control is a pragmatic philosophy aiming at optimizing bibliographic control supporting specific activities, perspectives, and interests.
  4. Boruah, B.B.; Ravikumar, S.; Gayang, F.L.: Consistency, extent, and validation of the utilization of the MARC 21 bibliographic standard in the college libraries of Assam in India (2023) 0.01 
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    Abstract
    This paper brings light to the existing practice of cataloging in the college libraries of Assam in terms of utilizing the MARC 21 standard and its structure, i.e., the tags, subfield codes, and indicators. Catalog records from six college libraries are collected and a survey is conducted to understand the local users' information requirements for the catalog. Places, where libraries have scope to improve and which divisions of tags could be more helpful for them in information retrieval, are identified and suggested. This study fulfilled the need for local-level assessment of the catalogs.
  5. Zhang, L.; Lu, W.; Yang, J.: LAGOS-AND : a large gold standard dataset for scholarly author name disambiguation (2023) 0.01 
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    Abstract
    In this article, we present a method to automatically build large labeled datasets for the author ambiguity problem in the academic world by leveraging the authoritative academic resources, ORCID and DOI. Using the method, we built LAGOS-AND, two large, gold-standard sub-datasets for author name disambiguation (AND), of which LAGOS-AND-BLOCK is created for clustering-based AND research and LAGOS-AND-PAIRWISE is created for classification-based AND research. Our LAGOS-AND datasets are substantially different from the existing ones. The initial versions of the datasets (v1.0, released in February 2021) include 7.5 M citations authored by 798 K unique authors (LAGOS-AND-BLOCK) and close to 1 M instances (LAGOS-AND-PAIRWISE). And both datasets show close similarities to the whole Microsoft Academic Graph (MAG) across validations of six facets. In building the datasets, we reveal the variation degrees of last names in three literature databases, PubMed, MAG, and Semantic Scholar, by comparing author names hosted to the authors' official last names shown on the ORCID pages. Furthermore, we evaluate several baseline disambiguation methods as well as the MAG's author IDs system on our datasets, and the evaluation helps identify several interesting findings. We hope the datasets and findings will bring new insights for future studies. The code and datasets are publicly available.
    Date
    22. 1.2023 18:40:36
  6. Kim, J.(im); Kim, J.(enna): Effect of forename string on author name disambiguation (2020) 0.01 
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    Abstract
    In author name disambiguation, author forenames are used to decide which name instances are disambiguated together and how much they are likely to refer to the same author. Despite such a crucial role of forenames, their effect on the performance of heuristic (string matching) and algorithmic disambiguation is not well understood. This study assesses the contributions of forenames in author name disambiguation using multiple labeled data sets under varying ratios and lengths of full forenames, reflecting real-world scenarios in which an author is represented by forename variants (synonym) and some authors share the same forenames (homonym). The results show that increasing the ratios of full forenames substantially improves both heuristic and machine-learning-based disambiguation. Performance gains by algorithmic disambiguation are pronounced when many forenames are initialized or homonyms are prevalent. As the ratios of full forenames increase, however, they become marginal compared to those by string matching. Using a small portion of forename strings does not reduce much the performances of both heuristic and algorithmic disambiguation methods compared to using full-length strings. These findings provide practical suggestions, such as restoring initialized forenames into a full-string format via record linkage for improved disambiguation performances.
    Date
    11. 7.2020 13:22:58
  7. Morris, V.: Automated language identification of bibliographic resources (2020) 0.01 
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    Date
    2. 3.2020 19:04:22
  8. Das, S.; Paik, J.H.: Gender tagging of named entities using retrieval-assisted multi-context aggregation : an unsupervised approach (2023) 0.00 
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    Date
    22. 3.2023 12:00:14
  9. Pauman Budanovic, M.; Zumer, M.: Prototype cataloging interface based on the IFLA Library Reference Model (LRM). Part 1 : conceptual design (2021) 0.00 
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    Abstract
    The aim of this paper is to present a prototype cataloging interface, which provides easier data entry, follows the cataloger's thought process and is based on the advantages of the IFLA LRM model. The paper summarizes all stages of the conceptual design and shows how the LRM was implemented. The main purpose of the cataloging interface design is to show how a LRM-based cataloging module might look like and how it could improve the existing cataloging process.
  10. Pauman Budanovic, M.; Zumer, M.: Prototype cataloging interface based on the IFLA Library Reference Model (LRM). Part 2 : usability evaluation (2021) 0.00 
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    Abstract
    This paper reports on usability evaluation that was carried out to evaluate the LRM-based prototype interface, presented in Part 1. A combination of focus group, Wizard of Oz method, and think-aloud protocol was used. The study was conducted in May 2019 with seven Slovenian catalogers from Maribor Public Library. Although participants had some difficulties understanding the LRM model, the user interface proved to be quite easy to use, quick to understand, and transparent. The functionality of the proposed prototype proved to be adequate, since the catalogers successfully and independently completed all the tasks without major problems and errors.
  11. Kim, J.; Kim, J.; Owen-Smith, J.: Ethnicity-based name partitioning for author name disambiguation using supervised machine learning (2021) 0.00 
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    Abstract
    In several author name disambiguation studies, some ethnic name groups such as East Asian names are reported to be more difficult to disambiguate than others. This implies that disambiguation approaches might be improved if ethnic name groups are distinguished before disambiguation. We explore the potential of ethnic name partitioning by comparing performance of four machine learning algorithms trained and tested on the entire data or specifically on individual name groups. Results show that ethnicity-based name partitioning can substantially improve disambiguation performance because the individual models are better suited for their respective name group. The improvements occur across all ethnic name groups with different magnitudes. Performance gains in predicting matched name pairs outweigh losses in predicting nonmatched pairs. Feature (e.g., coauthor name) similarities of name pairs vary across ethnic name groups. Such differences may enable the development of ethnicity-specific feature weights to improve prediction for specific ethic name categories. These findings are observed for three labeled data with a natural distribution of problem sizes as well as one in which all ethnic name groups are controlled for the same sizes of ambiguous names. This study is expected to motive scholars to group author names based on ethnicity prior to disambiguation.
  12. Corbara, S.; Moreo, A.; Sebastiani, F.: Syllabic quantity patterns as rhythmic features for Latin authorship attribution (2023) 0.00 
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    Abstract
    It is well known that, within the Latin production of written text, peculiar metric schemes were followed not only in poetic compositions, but also in many prose works. Such metric patterns were based on so-called syllabic quantity, that is, on the length of the involved syllables, and there is substantial evidence suggesting that certain authors had a preference for certain metric patterns over others. In this research we investigate the possibility to employ syllabic quantity as a base for deriving rhythmic features for the task of computational authorship attribution of Latin prose texts. We test the impact of these features on the authorship attribution task when combined with other topic-agnostic features. Our experiments, carried out on three different datasets using support vector machines (SVMs) show that rhythmic features based on syllabic quantity are beneficial in discriminating among Latin prose authors.
  13. Díez Platas, M.L.; Muñoz, S.R.; González-Blanco, E.; Ruiz Fabo, P.; Álvarez Mellado, E.: Medieval Spanish (12th-15th centuries) named entity recognition and attribute annotation system based on contextual information (2021) 0.00 
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    Abstract
    The recognition of named entities in Spanish medieval texts presents great complexity, involving specific challenges: First, the complex morphosyntactic characteristics in proper-noun use in medieval texts. Second, the lack of strict orthographic standards. Finally, diachronic and geographical variations in Spanish from the 12th to 15th century. In this period, named entities usually appear as complex text structure. For example, it was frequent to add nicknames and information about the persons role in society and geographic origin. To tackle this complexity, named entity recognition and classification system has been implemented. The system uses contextual cues based on semantics to detect entities and assign a type. Given the occurrence of entities with attached attributes, entity contexts are also parsed to determine entity-type-specific dependencies for these attributes. Moreover, it uses a variant generator to handle the diachronic evolution of Spanish medieval terms from a phonetic and morphosyntactic viewpoint. The tool iteratively enriches its proper lexica, dictionaries, and gazetteers. The system was evaluated on a corpus of over 3,000 manually annotated entities of different types and periods, obtaining F1 scores between 0.74 and 0.87. Attribute annotation was evaluated for a person and role name attributes with an overall F1 of 0.75.
  14. Dunsire, G.; Fritz, D.; Fritz, R.: Instructions, interfaces, and interoperable data : the RIMMF experience with RDA revisited (2020) 0.00 
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    Abstract
    This article presents a case study of RIMMF, a software tool developed to improve the orientation and training of catalogers who use Resource Description and Access (RDA) to maintain bibliographic data. The cataloging guidance and instructions of RDA are based on the Functional Requirements conceptual models that are now consolidated in the IFLA Library Reference Model, but many catalogers are applying RDA in systems that have evolved from inventory and text-processing applications developed from older metadata paradigms. The article describes how RIMMF interacts with the RDA Toolkit and RDA Registry to offer cataloger-friendly multilingual data input and editing interfaces.
  15. Preminger, M.; Rype, I.; Ådland, M.K.; Massey, D.; Tallerås, K.: ¬The public library metadata landscape : the case of Norway 2017-2018 (2020) 0.00 
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    Abstract
    The aim of this paper is to gauge the cataloging practices within the public library sector seen from the catalog with Norway as a case, based on a sample of records from public libraries and cataloging agencies. Findings suggest that libraries make few changes to records they import from central agencies, and that larger libraries make more changes than smaller libraries. Findings also suggest that libraries catalog and modify records with their patrons in mind, and though the extent is not large, cataloging proficiency is still required in the public library domain, at least in larger libraries, in order to ensure correct and consistent metadata.
  16. Serra, L.G.; Schneider, J.A.; Santarém Segundo, J.E.: Person identifiers in MARC 21 records in a semantic environment (2020) 0.00 
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    Abstract
    This article discusses how libraries can include person identifiers in the MARC format. It suggests using URIs in fields and subfields to help transition the data to an RDF model, and to help prepare the catalog for a Linked Data. It analyzes the selection of URIs and Real-World Objects, and the use of tag 024 to describe person identifiers in authority records. When a creator or collaborator is identified in a work, the identifiers are transferred from authority to the bibliographic record. The article concludes that URI-based descriptions can provide a better experience for users, offering other methods of discovery.
  17. Fernanda de Jesus, A.; Ferreira de Castro, F.: Proposal for the publication of linked open bibliographic data (2024) 0.00 
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    Abstract
    Linked Open Data (LOD) are a set of principles for publishing structured, connected data available for reuse under an open license. The objective of this paper is to analyze the publishing of bibliographic data such as LOD, having as a product the elaboration of theoretical-methodological recommendations for the publication of these data, in an approach based on the ten best practices for publishing LOD, from the World Wide Web Consortium. The starting point was the conduction of a Systematic Review of Literature, where initiatives to publish bibliographic data such as LOD were identified. An empirical study of these institutions was also conducted. As a result, theoretical-methodological recommendations were obtained for the process of publishing bibliographic data such as LOD.
  18. Koster, L.: Persistent identifiers for heritage objects (2020) 0.00 
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    Abstract
    Persistent identifiers (PID's) are essential for getting access and referring to library, archive and museum (LAM) collection objects in a sustainable and unambiguous way, both internally and externally. Heritage institutions need a universal policy for the use of PID's in order to have an efficient digital infrastructure at their disposal and to achieve optimal interoperability, leading to open data, open collections and efficient resource management. Here the discussion is limited to PID's that institutions can assign to objects they own or administer themselves. PID's for people, subjects etc. can be used by heritage institutions, but are generally managed by other parties. The first part of this article consists of a general theoretical description of persistent identifiers. First of all, I discuss the questions of what persistent identifiers are and what they are not, and what is needed to administer and use them. The most commonly used existing PID systems are briefly characterized. Then I discuss the types of objects PID's can be assigned to. This section concludes with an overview of the requirements that apply if PIDs should also be used for linked data. The second part examines current infrastructural practices, and existing PID systems and their advantages and shortcomings. Based on these practical issues and the pros and cons of existing PID systems a list of requirements for PID systems is presented which is used to address a number of practical considerations. This section concludes with a number of recommendations.
  19. Pooja, K.M.; Mondal, S.; Chandra, J.: ¬A graph combination with edge pruning-based approach for author name disambiguation (2020) 0.00 
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  20. Kyprianos, K.; Efthymiou, F.; Kouis, D.: Students' perceptions on cataloging course (2022) 0.00 
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    Abstract
    Cataloging and metadata description is one of the major competencies that a trainee cataloger must conquer. According to recent research results, library and information studies students experience difficulties understanding the theory, the terminology, and the tools necessary for cataloging. The experimental application of teaching models which derive from predominant learning theories, such as behaviorism, cognitivism, and constructivism, may help in detecting the difficulties of a cataloging course and in suggesting efficient solutions. This paper presents in detail three teaching models applied for a cataloging course and investigates their effectiveness, based on a survey of 126 first-year students. The survey employed the Kirkpatrick model aiming to record undergraduate students' perceptions and feelings about cataloging. The results revealed that, although a positive change in students' behavior towards cataloging has been achieved, they still do not feel very confident about the skills they have acquired. Moreover, students felt that practicing cataloging more frequently will eliminate their difficulties. Finally, they emphasized the need for face to face courses, as the survey took place in the coronavirus pandemic, during which the courses were held via distance learning.

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