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  • × theme_ss:"Multilinguale Probleme"
  • × type_ss:"el"
  • × year_i:[2010 TO 2020}
  1. Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012) 0.03 
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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.
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  2. EuropeanaTech and Multilinguality : Issue 1 of EuropeanaTech Insight (2015) 0.00 
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    Abstract
    Welcome to the very first issue of EuropeanaTech Insight, a multimedia publication about research and development within the EuropeanaTech community. EuropeanaTech is a very active community. It spans all of Europe and is made up of technical experts from the various disciplines within digital cultural heritage. At any given moment, members can be found presenting their work in project meetings, seminars and conferences around the world. Now, through EuropeanaTech Insight, we can share that inspiring work with the whole community. In our first three issues, we're showcasing topics discussed at the EuropeanaTech 2015 Conference, an exciting event that gave rise to lots of innovative ideas and fruitful conversations on the themes of data quality, data modelling, open data, data re-use, multilingualism and discovery. Welcome, bienvenue, bienvenido, Välkommen, Tervetuloa to the first Issue of EuropeanaTech Insight. Are we talking your language? No? Well I can guarantee you Europeana is. One of the European Union's great beauties and strengths is its diversity. That diversity is perhaps most evident in the 24 different languages spoken in the EU. Making it possible for all European citizens to easily and seamlessly communicate in their native language with others who do not speak that language is a huge technical undertaking. Translating documents, news, speeches and historical texts was once exclusively done manually. Clearly, that takes a huge amount of time and resources and means that not everything can be translated... However, with the advances in machine and automatic translation, it's becoming more possible to provide instant and pretty accurate translations. Europeana provides access to over 40 million digitised cultural heritage offering content in over 33 languages. But what value does Europeana provide if people can only find results in their native language? None. That's why the EuropeanaTech community is collectively working towards making it more possible for everyone to discover our collections in their native language. In this issue of EuropeanaTech Insight, we hear from community members who are making great strides in machine translation and enrichment tools to help improve not only access to data, but also how we retrieve, browse and understand it.
    Content
    Juliane Stiller, J.: Automatic Solutions to Improve Multilingual Access in Europeana / Vila-Suero, D. and A. Gómez-Pérez: Multilingual Linked Data / Pilos, S.: Automated Translation: Connecting Culture / Karlgren, J.: Big Data, Libraries, and Multilingual New Text / Ziedins, J.: Latvia translates with hugo.lv
  3. Küssow, J.; Märchy, S.: Regelwerke im multilingualen Kontext : ein Erfahrungsbericht aus einem multilingualen Verbund (2017) 0.00 
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    Abstract
    Der Bibliotheksverbund NEBIS (Netzwerk von Bibliotheken und Informationsstellen in der Schweiz) ist der grösste Verbund wissenschaftlicher Bibliotheken der Schweiz. Ihm gehören rund 140 Bibliotheken an 154 Standorten aus allen Landesteilen der Schweiz an. Im NEBIS arbeiten Bibliotheken sowohl aus der Deutschschweiz als auch aus den Französisch und Italienisch sprechenden Landesteilen. Der Anteil der nicht-deutschsprachigen Bibliotheken beträgt im NEBIS über 15 Prozent. Auf den Jahresbeginn 2016 hat der NEBIS-Verbund das bisher verwendete Regelwerk KIDS (Katalogisierungsregeln des IDS) durch das internationale Regelwerk RDA sowie die hauseigene Normdatenbank durch die deutschorientierte Normdatenbank GND abgelöst. Der Zustand der französischsprachigen Übersetzung der RDA sowie die Übersetzung der Anwendungsregeln des D-A-CH Raumes waren eine der grössten Herausforderungen bei der Einführung im Verbund. In einer mehrsprachigen Umgebung mit einer monolingualen Datenbank wie der GND zu arbeiten, bedeutete besonders für die französischsprachigen Bibliotheken viel Umstellung und Flexibilität. Die Arbeit mit deutschen Begriffen wie zum Beispiel die Berufsbegriffe in der GND erfordert sowohl von der NEBIS-Verbundzentrale wie auch von den französischsprachigen Bibliotheken einen ausserordentlichen Effort. Der NEBIS-Verbund wird auch künftig darauf angewiesen sein, dass die französische Übersetzung der RDA sowie die Übersetzung der Anwendungsregeln möglichst aktuell bleibt. Zudem wird auch im Bereich GND weiterhin eine flexible und geduldige Arbeitsweise aller Beteiligten erforderlich sein.
    Type
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  4. Strobel, S.: Englischsprachige Erweiterung des TIB / AV-Portals : Ein GND/DBpedia-Mapping zur Gewinnung eines englischen Begriffssystems (2014) 0.00 
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  5. Busch, D.: Organisation eines Thesaurus für die Unterstützung der mehrsprachigen Suche in einer bibliographischen Datenbank im Bereich Planen und Bauen (2016) 0.00 
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