Search (3 results, page 1 of 1)

  • × subject_ss:"Semantic Web"
  • × year_i:[2010 TO 2020}
  1. Keyser, P. de: Indexing : from thesauri to the Semantic Web (2012) 0.08
    0.07979104 = product of:
      0.2393731 = sum of:
        0.2393731 = sum of:
          0.19898356 = weight(_text_:indexing in 3197) [ClassicSimilarity], result of:
            0.19898356 = score(doc=3197,freq=34.0), product of:
              0.19018644 = queryWeight, product of:
                3.8278677 = idf(docFreq=2614, maxDocs=44218)
                0.049684696 = queryNorm
              1.0462552 = fieldWeight in 3197, product of:
                5.8309517 = tf(freq=34.0), with freq of:
                  34.0 = termFreq=34.0
                3.8278677 = idf(docFreq=2614, maxDocs=44218)
                0.046875 = fieldNorm(doc=3197)
          0.04038954 = weight(_text_:22 in 3197) [ClassicSimilarity], result of:
            0.04038954 = score(doc=3197,freq=2.0), product of:
              0.17398734 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.049684696 = queryNorm
              0.23214069 = fieldWeight in 3197, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046875 = fieldNorm(doc=3197)
      0.33333334 = coord(1/3)
    
    Abstract
    Indexing consists of both novel and more traditional techniques. Cutting-edge indexing techniques, such as automatic indexing, ontologies, and topic maps, were developed independently of older techniques such as thesauri, but it is now recognized that these older methods also hold expertise. Indexing describes various traditional and novel indexing techniques, giving information professionals and students of library and information sciences a broad and comprehensible introduction to indexing. This title consists of twelve chapters: an Introduction to subject readings and theasauri; Automatic indexing versus manual indexing; Techniques applied in automatic indexing of text material; Automatic indexing of images; The black art of indexing moving images; Automatic indexing of music; Taxonomies and ontologies; Metadata formats and indexing; Tagging; Topic maps; Indexing the web; and The Semantic Web.
    Date
    24. 8.2016 14:03:22
    LCSH
    Indexing
    Subject
    Indexing
  2. Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014) 0.05
    0.04563692 = product of:
      0.13691075 = sum of:
        0.13691075 = sum of:
          0.09652121 = weight(_text_:indexing in 987) [ClassicSimilarity], result of:
            0.09652121 = score(doc=987,freq=8.0), product of:
              0.19018644 = queryWeight, product of:
                3.8278677 = idf(docFreq=2614, maxDocs=44218)
                0.049684696 = queryNorm
              0.5075084 = fieldWeight in 987, product of:
                2.828427 = tf(freq=8.0), with freq of:
                  8.0 = termFreq=8.0
                3.8278677 = idf(docFreq=2614, maxDocs=44218)
                0.046875 = fieldNorm(doc=987)
          0.04038954 = weight(_text_:22 in 987) [ClassicSimilarity], result of:
            0.04038954 = score(doc=987,freq=2.0), product of:
              0.17398734 = queryWeight, product of:
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.049684696 = queryNorm
              0.23214069 = fieldWeight in 987, product of:
                1.4142135 = tf(freq=2.0), with freq of:
                  2.0 = termFreq=2.0
                3.5018296 = idf(docFreq=3622, maxDocs=44218)
                0.046875 = fieldNorm(doc=987)
      0.33333334 = coord(1/3)
    
    Abstract
    This book covers the basics of semantic web technologies and indexing languages, and describes their contribution to improve languages as a tool for subject queries and knowledge exploration. The book is relevant to information scientists, knowledge workers and indexers. It provides a suitable combination of theoretical foundations and practical applications.
    Content
    Introduction: envisioning semantic information spacesIndexing and knowledge organization -- Semantic technologies for knowledge representation -- Information retrieval and knowledge exploration -- Approaches to handle heterogeneity -- Problems with establishing semantic interoperability -- Formalization in indexing languages -- Typification of semantic relations -- Inferences in retrieval processes -- Semantic interoperability and inferences -- Remaining research questions.
    Date
    23. 7.2017 13:49:22
    LCSH
    Indexing
    Subject
    Indexing
  3. Weller, K.: Knowledge representation in the Social Semantic Web (2010) 0.01
    0.0066354945 = product of:
      0.019906484 = sum of:
        0.019906484 = product of:
          0.039812967 = sum of:
            0.039812967 = weight(_text_:indexing in 4515) [ClassicSimilarity], result of:
              0.039812967 = score(doc=4515,freq=4.0), product of:
                0.19018644 = queryWeight, product of:
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.049684696 = queryNorm
                0.20933652 = fieldWeight in 4515, product of:
                  2.0 = tf(freq=4.0), with freq of:
                    4.0 = termFreq=4.0
                  3.8278677 = idf(docFreq=2614, maxDocs=44218)
                  0.02734375 = fieldNorm(doc=4515)
          0.5 = coord(1/2)
      0.33333334 = coord(1/3)
    
    Abstract
    The main purpose of this book is to sum up the vital and highly topical research issue of knowledge representation on the Web and to discuss novel solutions by combining benefits of folksonomies and Web 2.0 approaches with ontologies and semantic technologies. This book contains an overview of knowledge representation approaches in past, present and future, introduction to ontologies, Web indexing and in first case the novel approaches of developing ontologies. This title combines aspects of knowledge representation for both the Semantic Web (ontologies) and the Web 2.0 (folksonomies). Currently there is no monographic book which provides a combined overview over these topics. focus on the topic of using knowledge representation methods for document indexing purposes. For this purpose, considerations from classical librarian interests in knowledge representation (thesauri, classification schemes etc.) are included, which are not part of most other books which have a stronger background in computer science.