Search (3 results, page 1 of 1)

  • × theme_ss:"Klassifikationssysteme"
  • × theme_ss:"Thesauri"
  • × type_ss:"el"
  1. Voß, J.: Verbundzentrale des GBV übernimmt BARTOC (2020) 0.02 
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    Abstract
    Die VZG hat zum November 2020 den Betrieb und die technische Weiterentwicklung übernommen. BARTOC enthält Informationen zu über mehr als 5.000 Wissensorganisationssysteme wie Klassifikationen, Thesauri, Ontologien und Normdateien. Die Inhalte werden durch eine internationale Gruppe von Redakteuren betreut und stehen in verschiedener Form frei zur Verfügung. Die Adresse https://bartoc.org/ und alle BARTOC-URLs bleiben bestehen. Das Redaktionsteam freut sich über Hinweise auf Ergänzungen und Korrekturen.
  2. Frey, J.; Streitmatter, D.; Götz, F.; Hellmann, S.; Arndt, N.: DBpedia Archivo : a Web-Scale interface for ontology archiving under consumer-oriented aspects (2020) 0.00 
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    Abstract
    While thousands of ontologies exist on the web, a unified sys-tem for handling online ontologies - in particular with respect to discov-ery, versioning, access, quality-control, mappings - has not yet surfacedand users of ontologies struggle with many challenges. In this paper, wepresent an online ontology interface and augmented archive called DB-pedia Archivo, that discovers, crawls, versions and archives ontologies onthe DBpedia Databus. Based on this versioned crawl, different features,quality measures and, if possible, fixes are deployed to handle and sta-bilize the changes in the found ontologies at web-scale. A comparison toexisting approaches and ontology repositories is given.
  3. Frey, J.; Streitmatter, D.; Götz, F.; Hellmann, S.; Arndt, N.: DBpedia Archivo (2020) 0.00 
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    Content
    # How does Archivo work? Each week Archivo runs several discovery algorithms to scan for new ontologies. Once discovered Archivo checks them every 8 hours. When changes are detected, Archivo downloads and rates and archives the latest snapshot persistently on the DBpedia Databus. # Archivo's mission Archivo's mission is to improve FAIRness (findability, accessibility, interoperability, and reusability) of all available ontologies on the Semantic Web. Archivo is not a guideline, it is fully automated, machine-readable and enforces interoperability with its star rating. - Ontology developers can implement against Archivo until they reach more stars. The stars and tests are designed to guarantee the interoperability and fitness of the ontology. - Ontology users can better find, access and re-use ontologies. Snapshots are persisted in case the original is not reachable anymore adding a layer of reliability to the decentral web of ontologies.

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