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  • × theme_ss:"Semantische Interoperabilität"
  • × type_ss:"a"
  1. Zeng, M.L.; Chan, L.M.: Trends and issues in establishing interoperability among knowledge organization systems (2004) 0.00
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    Source
    Journal of the American Society for Information Science and technology. 55(2004) no.5, S.377-395
  2. Krause, J.: Konkretes zur These, die Standardisierung von der Heterogenität her zu denken (2004) 0.00
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    Abstract
    Die Entwicklungsperspektive für den Bereich wissenschaftlicher Information sind innovative, integrierende Fachportale, die in einem Wissenschaftsportal zusammengefasst werden und die allgemeinen, fachübergreifenden Zugänge der Bibliotheken mit spezifischen Fachzugängen verbinden. In dieser Struktur kann der Kunde mit qualitativ hochwertigen Such- und Selektionsinstrumenten auf wissenschaftsrelevante Informationen (Literaturnachweise, Experten und Forschungsreferenzen, Volltexte, Materialien, Daten, Fakten, Linklisten etc.) zugreifen. Sowohl theoriegeleitete Analysen und Bestandsaufnahmen der wissenschaftlichen Informationslandschaft als auch die Ergebnisse der neueren Benutzerumfragen zum Informationsverhalten und zum -bedarf von Wissenschaftlern weisen auf die Wünschbarkeit solch einer Entwicklung hin. Heute ist ein weitgehender Konsens über das anzustrebende Ziel erreicht. Die Herausforderung für die Weiterentwicklung ist somit nicht die Akzeptanz der angestrebten Zielvorstellung, sondern die Frage, wie sie zu erreichen ist. Die im Folgenden diskutierte Entwicklung von bilateralen Transferkomponenten zur Behandlung semantischer Heterogenität zwischen Dokumentensammlungen mit unterschiedlicher Inhaltserschließung zeigt für einen wesentlichen Teil der Frage nach dem »Wie« der Zielerreichung eine tragfähige Lösungsstrategie auf. Sie wird theoretisch und praktisch konkretisiert, der Entwicklungsstand beschrieben und die konkreten Einsatzmöglichkeiten werden aufgezeigt.
  3. McCulloch, E.; Macgregor, G.: Analysis of equivalence mapping for terminology services (2008) 0.00
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    Source
    Journal of information science. 34(2008) no.1, S.70-92
  4. Landry, P.: ¬The evolution of subject heading languages in Europe and their impact on subject access interoperability (2008) 0.00
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    Abstract
    Work in establishing interoperability between Subject Heading Languages (SHLs) in Europe is fairly recent and much work is still needed before users can successfully conduct subject searches across information resources in European libraries. Over the last 25 years many subject heading lists were created or developed from existing ones. Obstacles for effective interoperability have been progressively lifted which has paved the way for interoperability projects to achieve some encouraging results. This paper will look at interoperability approaches in the area of subject indexing tools and will present a short overview of the development of European SHLs. It will then look at the conditions necessary for effective and comprehensive interoperability using the method of linking subject headings, as used by the »Multilingual Access to Subject Headings project« (MACS).
  5. Soergel, D.: Conceptual foundations for semantic mapping and semantic search (2011) 0.00
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    Abstract
    This article proposes an approach to mapping between Knowledge Organization Systems (KOS), including ontologies, classifications, taxonomies, and thesauri and even natural languages, that is based on deep semantics. In this approach, concepts in each KOS are expressed through canonical expressions, such as description logic formulas, that combine atomic (or elemental) concepts drawn from a core classification. Relationships between concepts within or across KOS can then be derived by reasoning over the canonical expressions. The canonical expressions can also be used to provide a facet-based query formulation front-end for free-text search. The article illustrates this approach through many examples. It presents methods for the efficient construction of canonical expressions (linguistic analysis, exploiting information in the KOS and their hierarchies, and crowdsourcing) that make this approach feasible.
  6. Mayr, P.: Bradfordizing als Re-Ranking-Ansatz in Literaturinformationssystemen (2011) 0.00
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    Source
    Information - Wissenschaft und Praxis. 62(2011) H.1, S.3-10
  7. Amarger, F.; Chanet, J.-P.; Haemmerlé, O.; Hernandez, N.; Roussey, C.: SKOS sources transformations for ontology engineering : agronomical taxonomy use case (2014) 0.00
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    Series
    Communications in computer and information science; 478
  8. Andrade, J. de; Lopes Ginez de Lara, M.: Interoperability and mapping between knowledge organization systems : metathesaurus - Unified Medical Language System of the National Library of Medicine (2016) 0.00
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    Abstract
    This paper is aimed at assessing the potential of interoperable knowledge organization systems to respond to search strategies in order to retrieve information from databases in the areas of health and biomedicine. An analysis was done on the semantic consistency of synonym grouping of a term selected from the Metathesaurus, the Unified Medical Language System of the National Library of Medicine, based on the characteristics of equivalence proposed in ISO 25964: 2: 2011 and based on the following categories: semantic, morphological, syntactic and typographical variations. This paper highlights the importance of understanding the results of automatic mapping as well as the need for characterization, evaluation and selection of equivalences for preparation of consistent search strategies and presentation of search results in scientific work methodologies.
  9. Dunckel, P.: Zusammenführung mehrerer Thesauri zu einem gemeinsamen Begriffssystem : Probleme und Lösungsansätze (2017) 0.00
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    Source
    Information - Wissenschaft und Praxis. 68(2017) H.4, S.253-262
  10. 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
  11. 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
  12. 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".
  13. 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.
  14. 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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