Search (8 results, page 1 of 1)

  • × theme_ss:"Formalerschließung"
  • × year_i:[2020 TO 2030}
  1. Pooja, K.M.; Mondal, S.; Chandra, J.: ¬A graph combination with edge pruning-based approach for author name disambiguation (2020) 0.02 
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    Abstract
    Author name disambiguation (AND) is a challenging problem due to several issues such as missing key identifiers, same name corresponding to multiple authors, along with inconsistent representation. Several techniques have been proposed but maintaining consistent accuracy levels over all data sets is still a major challenge. We identify two major issues associated with the AND problem. First, the namesake problem in which two or more authors with the same name publishes in a similar domain. Second, the diverse topic problem in which one author publishes in diverse topical domains with a different set of coauthors. In this work, we initially propose a method named ATGEP for AND that addresses the namesake issue. We evaluate the performance of ATGEP using various ambiguous name references collected from the Arnetminer Citation (AC) and Web of Science (WoS) data set. We empirically show that the two aforementioned problems are crucial to address the AND problem that are difficult to handle using state-of-the-art techniques. To handle the diverse topic issue, we extend ATGEP to a new variant named ATGEP-web that considers external web information of the authors. Experiments show that with enough information available from external web sources ATGEP-web can significantly improve the results further compared with ATGEP.
  2. Morris, V.: Automated language identification of bibliographic resources (2020) 0.01 
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    Date
    2. 3.2020 19:04:22
  3. Schreur, P.E.: ¬The use of Linked Data and artificial intelligence as key elements in the transformation of technical services (2020) 0.01 
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    Abstract
    Library Technical Services have benefited from numerous stimuli. Although initially looked at with suspicion, transitions such as the move from catalog cards to the MARC formats have proven enormously helpful to libraries and their patrons. Linked data and Artificial Intelligence (AI) hold the same promise. Through the conversion of metadata surrogates (cataloging) to linked open data, libraries can represent their resources on the Semantic Web. But in order to provide some form of controlled access to unstructured data, libraries must reach beyond traditional cataloging to new tools such as AI to provide consistent access to a growing world of full-text resources.
  4. Das, S.; Paik, J.H.: Gender tagging of named entities using retrieval-assisted multi-context aggregation : an unsupervised approach (2023) 0.01 
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    Date
    22. 3.2023 12:00:14
  5. Miksa, S.D.: Cataloging principles and objectives : history and development (2021) 0.01 
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    Abstract
    Cataloging principles and objectives guide the formation of cataloging rules governing the organization of information within the library catalog, as well as the function of the catalog itself. Changes in technologies wrought by the internet and the web have been the driving forces behind shifting cataloging practice and reconfigurations of cataloging rules. Modern cataloging principles and objectives started in 1841 with the creation of Panizzi's 91 Rules for the British Museum and gained momentum with Charles Cutter's Rules for Descriptive Cataloging (1904). The first Statement of International Cataloguing Principles (ICP) was adopted in 1961, holding their place through such codifications as AACR and AACR2 in the 1970s and 1980s. Revisions accelerated starting in 2003 with the three original FR models. The Library Reference Model (LRM) in 2017 acted as a catalyst for the evolution of principles and objectives culminating in the creation of Resource Description and Access (RDA) in 2013.
  6. Fernanda de Jesus, A.; Ferreira de Castro, F.: Proposal for the publication of linked open bibliographic data (2024) 0.01 
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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.
  7. Kim, J.(im); Kim, J.(enna): Effect of forename string on author name disambiguation (2020) 0.01 
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    Date
    11. 7.2020 13:22:58
  8. 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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    Date
    22. 1.2023 18:40:36

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