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  • × type_ss:"el"
  • × theme_ss:"Semantische Interoperabilität"
  1. Heflin, J.; Hendler, J.: Semantic interoperability on the Web (2000) 0.06
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    Date
    11. 5.2013 19:22:18
    Year
    2000
  2. Hafner, R.; Schelling, B.: Automatisierung der Sacherschließung mit Semantic Web Technologie (2015) 0.02
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    Date
    22. 6.2015 16:08:38
  3. Dini, L.: CACAO : multilingual access to bibliographic records (2007) 0.02
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    Content
    Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".
  4. Landry, P.: MACS: multilingual access to subject and link management : Extending the Multilingual Capacity of TEL in the EDL Project (2007) 0.02
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    Content
    Vortrag anlässlich des Workshops: "Extending the multilingual capacity of The European Library in the EDL project Stockholm, Swedish National Library, 22-23 November 2007".
  5. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.01
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    Abstract
    This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
  6. Faro, S.; Francesconi, E.; Marinai, E.; Sandrucci, V.: Report on execution and results of the interoperability tests (2008) 0.01
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    Date
    7.11.2008 10:40:22
  7. Haslhofer, B.: Uniform SPARQL access to interlinked (digital library) sources (2007) 0.01
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    Date
    26.12.2011 13:22:46
  8. Faro, S.; Francesconi, E.; Sandrucci, V.: Thesauri KOS analysis and selected thesaurus mapping methodology on the project case-study (2007) 0.01
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    Date
    7.11.2008 10:40:22
  9. Nicholson, D.: High-Level Thesaurus (HILT) project : interoperability and cross-searching distributed services (200?) 0.01
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  10. Si, L.: Encoding formats and consideration of requirements for mapping (2007) 0.01
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    Date
    26.12.2011 13:22:27
  11. Galinski, C.: Fragen der semantischen Interoperabilität brechen jetzt überall auf (o.J.) 0.01
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    Date
    22. 1.2011 10:16:32
  12. Bittner, T.; Donnelly, M.; Winter, S.: Ontology and semantic interoperability (2006) 0.01
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    Date
    3.12.2016 18:39:22
  13. Si, L.E.; O'Brien, A.; Probets, S.: Integration of distributed terminology resources to facilitate subject cross-browsing for library portal systems (2009) 0.01
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    Content
    This paper is a pre-print version presented at the ISKO UK 2009 conference, 22-23 June, prior to peer review and editing. For published proceedings see special issue of Aslib Proceedings journal.
  14. Balakrishnan, U.; Voß, J.: ¬The Cocoda mapping tool (2015) 0.01
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    Abstract
    The focus of the project "coli-conc" lies in semi-automatic creation of mappings between different KOS in general and the two important library classification schemes in particular - Dewey classification system (DDC) and Regensburg classification system (RVK). In the year 2000, the national libraries of Germany, Austria and Switzerland adopted DDC in an endeavor to develop a nation-wide classification scheme. But historically, in the German speaking regions, the academic libraries have been using their own home-grown systems, the most prominent and popular being the RVK. However, with the launch of DDC, building concordances between DDC and RVK has become an imperative, although it is still rare. The delay in building comprehensive concordances between these two systems has been because of major challenges posed by the sheer largeness of these two systems (38.000 classes in DDC and ca. 860.000 classes in RVK), the strong disparity in their respective structure, the variation in the perception and representation of the concepts. The challenge is compounded geometrically for any manual attempt in this direction. Although there have been efforts on automatic mappings (OAEI Library Track 2012 -- 2014 and e.g. Pfeffer 2013) in the recent years; such concordances carry the risks of inaccurate mappings, and the approaches are rather more suitable for mapping suggestions than for automatic generation of concordances (Lauser 2008; Reiner 2010). The project "coli-conc" will facilitate the creation, evaluation, and reuse of mappings with a public collection of concordances and a web application of mapping management. The proposed presentation will give an introduction to the tools and standards created and planned in the project "coli-conc". This includes preliminary work on DDC concordances (Balakrishnan 2013), an overview of the software concept, technical architecture (Voß 2015) and a demonstration of the Cocoda web application.
  15. Slavic, A.: Mapping intricacies : UDC to DDC (2010) 0.01
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    Content
    "Last week, I received an email from Yulia Skora in Ukraine who is working on the mapping between UDC Summary and BBK (Bibliographic Library Classification) Summary. It reminded me of yet another challenging area of work. When responding to Yulia I realised that the issues with mapping, for instance, UDC Summary to Dewey Summaries [pdf] are often made more difficult because we have to deal with classification summaries in both systems and we cannot use a known exactMatch in many situations. In 2008, following advice received from colleagues in the HILT project, two of our colleagues quickly mapped 1000 classes of Dewey Summaries to UDC Master Reference File as a whole. This appeared to be relatively simple. The mapping in this case is simply an answer to a question "and how would you say e.g. Art metal work in UDC?" But when in 2009 we realised that we were going to release 2000 classes of UDC Summary as linked data, we decided to wait until we had our UDC Summary set defined and completed to be able to publish it mapped to the Dewey Summaries. As we arrived at this stage, little did we realise how much more complex the reversed mapping of UDC Summary to Dewey Summaries would turn out to be. Mapping the Dewey Summaries to UDC highlighted situations in which the logic and structure of two systems do not agree. Especially because Dewey tends to enumerate combinations of subject and attributes that do not always logically belong together. For instance, 850 Literatures of Italian, Sardinian, Dalmatian, Romanian, Rhaeto-Romanic languages Italian literature. This class mixes languages from three different subgroups of Romance languages. Italian and Sardinian belong to Italo Romance sub-family; Romanian and Dalmatian are Balkan Romance languages and Rhaeto Romance is the third subgroup that includes Friulian Ladin and Romanch. As UDC literature is based on a strict classification of language families, Dewey class 850 has to be mapped to 3 narrower UDC classes 821.131 Literature of Italo-Romance Languages , 821.132 Literature of Rhaeto-Romance languages and 821.135 Literature of Balkan-Romance Languages, or to a broader class 821.13 Literature of Romance languages. Hence we have to be sure that we have all these classes listed in the UDC Summary to be able to express UDC-DDC many-to-one, specific-to-broader relationships.