Search (4 results, page 1 of 1)

  • × author_ss:"Panzer, M."
  • × theme_ss:"Semantische Interoperabilität"
  • × type_ss:"a"
  1. Panzer, M.; Zeng, M.L.: Modeling classification systems in SKOS : Some challenges and best-practice (2009) 0.00
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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.
    Type
    a
  2. Panzer, M.: Two tales of a concept : aligning FRSAD with SKOS (2011) 0.00
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    Abstract
    The FRSAD model provides an abstract analysis of subject authority data. The article tries to assess the compatibility of this conceptual framework with formalisms and practices that have emerged from the Semantic Web community. Through applying SKOS, it becomes apparent that some interpretive decisions necessary to accommodate the rigor of formal knowledge representation languages are not supported by FRSAD itself. Difficulties in clearly aligning the thema entity with either a SKOS or OWL counterpart reveal ambiguities in the FRSAD model regarding the ontological status of thema, which seems to reflect a general uncertainty regarding the aboutness of subject authority data in the library domain.
    Type
    a
  3. Panzer, M.: Increasing patient findability of medical research : annotating clinical trials using standard vocabularies (2017) 0.00
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    Abstract
    Multiple groups at Mayo Clinic organize knowledge with the aid of metadata for a variety of purposes. The ontology group focuses on consumer-oriented health information using several controlled vocabularies to support and coordinate care providers, consumers, clinical knowledge and, as part of its research management, information on clinical trials. Poor findability, inconsistent indexing and specialized language undermined the goal of increasing trial participation. The ontology group designed a metadata framework addressing disorders and procedures, investigational drugs and clinical departments, adopted and translated the clinical terminology of SNOMED CT and RxNorm vocabularies to consumer language and coordinated terminology with Mayo's Consumer Health Vocabulary. The result enables retrieval of clinical trial information from multiple access points including conditions, procedures, drug names, organizations involved and trial phase. The jump in inquiries since the search site was revised and vocabularies were modified show evidence of success.
    Type
    a
  4. Panzer, M.: Semantische Integration heterogener und unterschiedlichsprachiger Wissensorganisationssysteme : CrissCross und jenseits (2008) 0.00
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    Type
    a