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  • × theme_ss:"Semantische Interoperabilität"
  1. Krötzsch, M.; Hitzler, P.; Ehrig, M.; Sure, Y.: Category theory in ontology research : concrete gain from an abstract approach (2004 (?)) 0.00
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    Abstract
    The focus of research on representing and reasoning with knowledge traditionally has been on single specifications and appropriate inference paradigms to draw conclusions from such data. Accordingly, this is also an essential aspect of ontology research which has received much attention in recent years. But ontologies introduce another new challenge based on the distributed nature of most of their applications, which requires to relate heterogeneous ontological specifications and to integrate information from multiple sources. These problems have of course been recognized, but many current approaches still lack the deep formal backgrounds on which todays reasoning paradigms are already founded. Here we propose category theory as a well-explored and very extensive mathematical foundation for modelling distributed knowledge. A particular prospect is to derive conclusions from the structure of those distributed knowledge bases, as it is for example needed when merging ontologies
  2. Kim, J.-M.; Shin, H.; Kim, H.-J.: Schema and constraints-based matching and merging of Topic Maps (2007) 0.00
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    Source
    Information processing and management. 43(2007) no.4, S.930-945
  3. Dahlberg, I.: Kompatibilität und Integration : Probleme und Lösungen in der Wissensorganisation (2008) 0.00
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    Content
    Enthält im Anhang (S.48-49) die: "Recommendations of the Research Seminar on Compatibility and Integration of Order Systems organized by the International Society fpr Knowledge Organization (ISKO) and the Society for Professional Information (TIP), Warsaw, Poland, September 13-15, 1995".
  4. 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.
  5. 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

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