Search (4 results, page 1 of 1)

  • × theme_ss:"Konzeption und Anwendung des Prinzips Thesaurus"
  • × theme_ss:"Wissensrepräsentation"
  • × type_ss:"el"
  1. Fischer, D.H.: Converting a thesaurus to OWL : Notes on the paper "The National Cancer Institute's Thesaurus and Ontology" (2004) 0.03
    0.025488 = product of:
      0.101952 = sum of:
        0.101952 = weight(_text_:description in 2362) [ClassicSimilarity], result of:
          0.101952 = score(doc=2362,freq=12.0), product of:
            0.23150103 = queryWeight, product of:
              4.64937 = idf(docFreq=1149, maxDocs=44218)
              0.04979191 = queryNorm
            0.44039544 = fieldWeight in 2362, product of:
              3.4641016 = tf(freq=12.0), with freq of:
                12.0 = termFreq=12.0
              4.64937 = idf(docFreq=1149, maxDocs=44218)
              0.02734375 = fieldNorm(doc=2362)
      0.25 = coord(1/4)
    
    Abstract
    The paper analysed here is a kind of position paper. In order to get a better under-standing of the reported work I used the retrieval interface of the thesaurus, the so-called NCI DTS Browser accessible via the Web3, and I perused the cited OWL file4 with numerous "Find" and "Find next" string searches. In addition the file was im-ported into Protégé 2000, Release 2.0, with OWL Plugin 1.0 and Racer Plugin 1.7.14. At the end of the paper's introduction the authors say: "In the following sections, this paper will describe the terminology development process at NCI, and the issues associated with converting a description logic based nomenclature to a semantically rich OWL ontology." While I will not deal with the first part, i.e. the terminology development process at NCI, I do not see the thesaurus as a description logic based nomenclature, or its cur-rent state and conversion already result in a "rich" OWL ontology. What does "rich" mean here? According to my view there is a great quantity of concepts and links but a very poor description logic structure which enables inferences. And what does the fol-lowing really mean, which is said a few lines previously: "Although editors have defined a number of named ontologic relations to support the description-logic based structure of the Thesaurus, additional relation-ships are considered for inclusion as required to support dependent applications."
    According to my findings several relations available in the thesaurus query interface as "roles", are not used, i.e. there are not yet any assertions with them. And those which are used do not contribute to complete concept definitions of concepts which represent thesaurus main entries. In other words: The authors claim to already have a "description logic based nomenclature", where there is not yet one which deserves that title by being much more than a thesaurus with strict subsumption and additional inheritable semantic links. In the last section of the paper the authors say: "The most time consuming process in this conversion was making a careful analysis of the Thesaurus to understand the best way to translate it into OWL." "For other conversions, these same types of distinctions and decisions must be made. The expressive power of a proprietary encoding can vary widely from that in OWL or RDF. Understanding the original semantics and engineering a solution that most closely duplicates it is critical for creating a useful and accu-rate ontology." My question is: What decisions were made and are they exemplary, can they be rec-ommended as "the best way"? I raise strong doubts with respect to that, and I miss more profound discussions of the issues at stake. The following notes are dedicated to a critical description and assessment of the results of that conversion activity. They are written in a tutorial style more or less addressing students, but myself being a learner especially in the field of medical knowledge representation I do not speak "ex cathedra".
  2. Quick Guide to Publishing a Thesaurus on the Semantic Web (2008) 0.02
    0.020810865 = product of:
      0.08324346 = sum of:
        0.08324346 = weight(_text_:description in 4656) [ClassicSimilarity], result of:
          0.08324346 = score(doc=4656,freq=2.0), product of:
            0.23150103 = queryWeight, product of:
              4.64937 = idf(docFreq=1149, maxDocs=44218)
              0.04979191 = queryNorm
            0.35958138 = fieldWeight in 4656, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.64937 = idf(docFreq=1149, maxDocs=44218)
              0.0546875 = fieldNorm(doc=4656)
      0.25 = coord(1/4)
    
    Abstract
    This document describes in brief how to express the content and structure of a thesaurus, and metadata about a thesaurus, in RDF. Using RDF allows data to be linked to and/or merged with other RDF data by semantic web applications. The Semantic Web, which is based on the Resource Description Framework (RDF), provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries.
  3. Assem, M. van; Gangemi, A.; Schreiber, G.: Conversion of WordNet to a standard RDF/OWL representation (2006) 0.02
    0.017837884 = product of:
      0.071351536 = sum of:
        0.071351536 = weight(_text_:description in 4641) [ClassicSimilarity], result of:
          0.071351536 = score(doc=4641,freq=2.0), product of:
            0.23150103 = queryWeight, product of:
              4.64937 = idf(docFreq=1149, maxDocs=44218)
              0.04979191 = queryNorm
            0.3082126 = fieldWeight in 4641, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              4.64937 = idf(docFreq=1149, maxDocs=44218)
              0.046875 = fieldNorm(doc=4641)
      0.25 = coord(1/4)
    
    Abstract
    This paper presents an overview of the work in progress at the W3C to produce a standard conversion of WordNet to the RDF/OWL representation language in use in the SemanticWeb community. Such a standard representation is useful to provide application developers a high-quality resource and to promote interoperability. Important requirements in this conversion process are that it should be complete and should stay close to WordNet's conceptual model. The paper explains the steps taken to produce the conversion and details design decisions such as the composition of the class hierarchy and properties, the addition of suitable OWL semantics and the chosen format of the URIs. Additional topics include a strategy to incorporate OWL and RDFS semantics in one schema such that both RDF(S) infrastructure and OWL infrastructure can interpret the information correctly, problems encountered in understanding the Prolog source files and the description of the two versions that are provided (Basic and Full) to accommodate different usages of WordNet.
  4. Tudhope, D.; Hodge, G.: Terminology registries (2007) 0.01
    0.008432645 = product of:
      0.03373058 = sum of:
        0.03373058 = product of:
          0.06746116 = sum of:
            0.06746116 = weight(_text_:22 in 539) [ClassicSimilarity], result of:
              0.06746116 = score(doc=539,freq=2.0), product of:
                0.17436278 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.04979191 = queryNorm
                0.38690117 = fieldWeight in 539, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.078125 = fieldNorm(doc=539)
          0.5 = coord(1/2)
      0.25 = coord(1/4)
    
    Date
    26.12.2011 13:22:07