Search (5 results, page 1 of 1)

  • × theme_ss:"Konzeption und Anwendung des Prinzips Thesaurus"
  • × type_ss:"el"
  1. Qin, J.; Paling, S.: Converting a controlled vocabulary into an ontology : the case of GEM (2001) 0.01
    0.0134631805 = product of:
      0.04038954 = sum of:
        0.04038954 = product of:
          0.08077908 = sum of:
            0.08077908 = weight(_text_:22 in 3895) [ClassicSimilarity], result of:
              0.08077908 = score(doc=3895,freq=2.0), product of:
                0.17398734 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.049684696 = queryNorm
                0.46428138 = fieldWeight in 3895, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.09375 = fieldNorm(doc=3895)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Date
    24. 8.2005 19:20:22
  2. Tudhope, D.; Hodge, G.: Terminology registries (2007) 0.01
    0.011219318 = product of:
      0.033657953 = sum of:
        0.033657953 = product of:
          0.06731591 = sum of:
            0.06731591 = weight(_text_:22 in 539) [ClassicSimilarity], result of:
              0.06731591 = score(doc=539,freq=2.0), product of:
                0.17398734 = queryWeight, product of:
                  3.5018296 = idf(docFreq=3622, maxDocs=44218)
                  0.049684696 = 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)
      0.33333334 = coord(1/3)
    
    Date
    26.12.2011 13:22:07
  3. Assem, M. van; Malaisé, V.; Miles, A.; Schreiber, G.: ¬A method to convert thesauri to SKOS (2006) 0.01
    0.0080434345 = product of:
      0.024130303 = sum of:
        0.024130303 = product of:
          0.048260607 = sum of:
            0.048260607 = weight(_text_:indexing in 4642) [ClassicSimilarity], result of:
              0.048260607 = score(doc=4642,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.2537542 = fieldWeight in 4642, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.046875 = fieldNorm(doc=4642)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Thesauri can be useful resources for indexing and retrieval on the Semantic Web, but often they are not published in RDF/OWL. To convert thesauri to RDF for use in Semantic Web applications and to ensure the quality and utility of the conversion a structured method is required. Moreover, if different thesauri are to be interoperable without complicated mappings, a standard schema for thesauri is required. This paper presents a method for conversion of thesauri to the SKOS RDF/OWL schema, which is a proposal for such a standard under development by W3Cs Semantic Web Best Practices Working Group. We apply the method to three thesauri: IPSV, GTAA and MeSH. With these case studies we evaluate our method and the applicability of SKOS for representing thesauri.
  4. Doerr, M.: Semantic problems of thesaurus mapping (2001) 0.01
    0.0067028617 = product of:
      0.020108584 = sum of:
        0.020108584 = product of:
          0.04021717 = sum of:
            0.04021717 = weight(_text_:indexing in 5902) [ClassicSimilarity], result of:
              0.04021717 = score(doc=5902,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.21146181 = fieldWeight in 5902, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5902)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    With networked information access to heterogeneous data sources, the problem of terminology provision and interoperability of controlled vocabulary schemes such as thesauri becomes increasingly urgent. Solutions are needed to improve the performance of full-text retrieval systems and to guide the design of controlled terminology schemes for use in structured data, including metadata. Thesauri are created in different languages, with different scope and points of view and at different levels of abstraction and detail, to accomodate access to a specific group of collections. In any wider search accessing distributed collections, the user would like to start with familiar terminology and let the system find out the correspondences to other terminologies in order to retrieve equivalent results from all addressed collections. This paper investigates possible semantic differences that may hinder the unambiguous mapping and transition from one thesaurus to another. It focusses on the differences of meaning of terms and their relations as intended by their creators for indexing and querying a specific collection, in contrast to methods investigating the statistical relevance of terms for objects in a collection. It develops a notion of optimal mapping, paying particular attention to the intellectual quality of mappings between terms from different vocabularies and to problems of polysemy. Proposals are made to limit the vagueness introduced by the transition from one vocabulary to another. The paper shows ways in which thesaurus creators can improve their methodology to meet the challenges of networked access of distributed collections created under varying conditions. For system implementers, the discussion will lead to a better understanding of the complexity of the problem
  5. Martínez-González, M.M.; Alvite-Díez, M.L.: Thesauri and Semantic Web : discussion of the evolution of thesauri toward their integration with the Semantic Web (2019) 0.01
    0.0067028617 = product of:
      0.020108584 = sum of:
        0.020108584 = product of:
          0.04021717 = sum of:
            0.04021717 = weight(_text_:indexing in 5997) [ClassicSimilarity], result of:
              0.04021717 = score(doc=5997,freq=2.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.21146181 = fieldWeight in 5997, product of:
                  1.4142135 = tf(freq=2.0), with freq of:
                    2.0 = termFreq=2.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.0390625 = fieldNorm(doc=5997)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    Thesauri are Knowledge Organization Systems (KOS), that arise from the consensus of wide communities. They have been in use for many years and are regularly updated. Whereas in the past thesauri were designed for information professionals for indexing and searching, today there is a demand for conceptual vocabularies that enable inferencing by machines. The development of the Semantic Web has brought a new opportunity for thesauri, but thesauri also face the challenge of proving that they add value to it. The evolution of thesauri toward their integration with the Semantic Web is examined. Elements and structures in the thesaurus standard, ISO 25964, and SKOS (Simple Knowledge Organization System), the Semantic Web standard for representing KOS, are reviewed and compared. Moreover, the integrity rules of thesauri are contrasted with the axioms of SKOS. How SKOS has been applied to represent some real thesauri is taken into account. Three thesauri are chosen for this aim: AGROVOC, EuroVoc and the UNESCO Thesaurus. Based on the results of this comparison and analysis, the benefits that Semantic Web technologies offer to thesauri, how thesauri can contribute to the Semantic Web, and the challenges that would help to improve their integration with the Semantic Web are discussed.