Search (10 results, page 1 of 1)

  • × language_ss:"e"
  • × theme_ss:"Semantische Interoperabilität"
  • × type_ss:"a"
  • × year_i:[2020 TO 2030}
  1. Gabler, S.: Thesauri - a Toolbox for Information Retrieval (2023) 0.00 
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    Abstract
    Thesauri sind etablierte Instrumente der bibliothekarischen Sacherschließung. Durch die jüngste technologische Entwicklung und das Aufkommen künstlicher Intelligenz haben sie an Bedeutung gewonnen, da sie in der Lage sind, erklärbare Ergebnisse für die computergestützte Erschließungs- und Konkordanzarbeit mit anderen Datensätzen und Modellen sowie für die Datenvalidierung zu liefern. Ausgehend von bestehenden eigenen Recherchen für eine Masterarbeit wird der Aspekt der Qualitätssicherung in Bibliothekskatalogen anhand ausgewählter Beispiele vertieft.
    Source
    Bibliothek: Forschung und Praxis. 47(2023) H.2, S.189-199
  2. Balakrishnan, U,; Soergel, D.; Helfer, O.: Representing concepts through description logic expressions for knowledge organization system (KOS) mapping (2020) 0.00 
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    Source
    Knowledge Organization at the Interface. Proceedings of the Sixteenth International ISKO Conference, 2020 Aalborg, Denmark. Ed.: M. Lykke et al
  3. Hider, P.; Coe, M.: Academic disciplines in the context of library classification : mapping university faculty structures to the DDC and LCC schemes (2022) 0.00 
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    Date
    29. 9.2022 17:15:48
  4. Candela, G.: ¬An automatic data quality approach to assess semantic data from cultural heritage institutions (2023) 0.00 
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    Date
    22. 6.2023 18:23:31
  5. Kahlawi, A,: ¬An ontology driven ESCO LOD quality enhancement (2020) 0.00 
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    Source
    International journal of advanced computer science and applications 11(2020) no.3
  6. Marcondes, C.H.: Towards a vocabulary to implement culturally relevant relationships between digital collections in heritage institutions (2020) 0.00 
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    Date
    4. 3.2020 14:22:41
  7. Lee, S.: Pidgin metadata framework as a mediator for metadata interoperability (2021) 0.00 
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    Abstract
    A pidgin metadata framework based on the concept of pidgin metadata is proposed to complement the limitations of existing approaches to metadata interoperability and to achieve more reliable metadata interoperability. The framework consists of three layers, with a hierarchical structure, and reflects the semantic and structural characteristics of various metadata. Layer 1 performs both an external function, serving as an anchor for semantic association between metadata elements, and an internal function, providing semantic categories that can encompass detailed elements. Layer 2 is an arbitrary layer composed of substantial elements from existing metadata and performs a function in which different metadata elements describing the same or similar aspects of information resources are associated with the semantic categories of Layer 1. Layer 3 implements the semantic relationships between Layer 1 and Layer 2 through the Resource Description Framework syntax. With this structure, the pidgin metadata framework can establish the criteria for semantic connection between different elements and fully reflect the complexity and heterogeneity among various metadata. Additionally, it is expected to provide a bibliographic environment that can achieve more reliable metadata interoperability than existing approaches by securing the communication between metadata.
  8. Sfakakis, M.; Zapounidou, S.; Papatheodorou, C.: Mapping derivative relationships from BIBFRAME 2.0 to RDA (2020) 0.00 
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    Abstract
    The mapping from BIBFRAME 2.0 to Resource Description and Access (RDA) is studied focusing on core entities, inherent relationships, and derivative relationships. The proposed mapping rules are evaluated with two gold datasets. Findings indicate that 1) core entities, inherent and derivative relationships may be mapped to RDA, 2) the use of the bf:hasExpression property may cluster bf:Works with the same ideational content and enable their mapping to RDA Works with their Expressions, and 3) cataloging policies have a significant impact on the interoperability between RDA and BIBFRAME datasets. This work complements the investigation of semantic interoperability between the two models previously presented in this journal.
  9. Ahmed, M.; Mukhopadhyay, M.; Mukhopadhyay, P.: Automated knowledge organization : AI ML based subject indexing system for libraries (2023) 0.00 
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    Source
    DESIDOC journal of library and information technology. 43(2023) no.1, S.45-54
  10. Cheng, Y.-Y.; Xia, Y.: ¬A systematic review of methods for aligning, mapping, merging taxonomies in information sciences (2023) 0.00 
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    Abstract
    The purpose of this study is to provide a systematic literature review on taxonomy alignment methods in information science to explore the common research pipeline and characteristics. Design/methodology/approach The authors implement a five-step systematic literature review process relating to taxonomy alignment. They take on a knowledge organization system (KOS) perspective, and specifically examining the level of KOS on "taxonomies." Findings They synthesize the matching dimensions of 28 taxonomy alignment studies in terms of the taxonomy input, approach and output. In the input dimension, they develop three characteristics: tree shapes, variable names and symmetry; for approach: methodology, unit of matching, comparison type and relation type; for output: the number of merged solutions and whether original taxonomies are preserved in the solutions. Research limitations/implications The main research implications of this study are threefold: (1) to enhance the understanding of the characteristics of a taxonomy alignment work; (2) to provide a novel categorization of taxonomy alignment approaches into natural language processing approach, logic-based approach and heuristic-based approach; (3) to provide a methodological guideline on the must-include characteristics for future taxonomy alignment research. Originality/value There is no existing comprehensive review on the alignment of "taxonomies". Further, no other mapping survey research has discussed the comparison from a KOS perspective. Using a KOS lens is critical in understanding the broader picture of what other similar systems of organizations are, and enables us to define taxonomies more precisely.

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