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  • × author_ss:"Panzer, M."
  • × theme_ss:"Wissensrepräsentation"
  1. Panzer, M.: DDC, SKOS, and linked data on the Web (2008) 0.03 
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    Source
    Everything need not be miscellaneous: controlled vocabularies and classification in a Web world, OCLC/ISKO-NA Preconference Workshop,10th International ISKO Conference, Montreal, Canada, August 5-8, 2008
  2. Zeng, M.L.; Panzer, M.; Salaba, A.: Expressing classification schemes with OWL 2 Web Ontology Language : exploring issues and opportunities based on experiments using OWL 2 for three classification schemes 0.02 
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    Abstract
    Based on the research on three general classification schemes, this paper discusses issues encountered when expressing classification schemes in SKOS and explores opportunities of resolving major issues using OWL 2 Web Ontology Language.
  3. Panzer, M.; Zeng, M.L.: Modeling classification systems in SKOS : Some challenges and best-practice (2009) 0.01 
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    Abstract
    Representing classification systems on the web for publication and exchange continues to be a challenge within the SKOS framework. This paper focuses on the differences between classification schemes and other families of KOS (knowledge organization systems) that make it difficult to express classifications without sacrificing a large amount of their semantic richness. Issues resulting from the specific set of relationships between classes and topics that defines the basic nature of any classification system are discussed. Where possible, different solutions within the frameworks of SKOS and OWL are proposed and examined.
  4. Green, R.; Panzer, M.: Relations in the notational hierarchy of the Dewey Decimal Classification (2011) 0.01 
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    Abstract
    As part of a larger assessment of relationships in the Dewey Decimal Classification (DDC) system, this study investigates the semantic nature of relationships in the DDC notational hierarchy. The semantic relationship between each of a set of randomly selected classes and its parent class in the notational hierarchy is examined against a set of relationship types (specialization, class-instance, several flavours of whole-part).The analysis addresses the prevalence of specific relationship types, their lexical expression, difficulties encountered in assigning relationship types, compatibility of relationships found in the DDC with those found in other knowledge organization systems (KOS), and compatibility of relationships found in the DDC with those in a shared formalism like the Web Ontology Language (OWL). Since notational hierarchy is an organizational mechanism shared across most classification schemes and is often considered to provide an easy solution for ontological transformation of a classification system, the findings of the study are likely to generalize across classification schemes with respect to difficulties that might be encountered in such a transformation process.

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