Search (5 results, page 1 of 1)

0.024857301 = product of:
  0.11600074 = sum of:
    0.041207436 = weight(_text_:classification in 4823) [ClassicSimilarity], result of:
      0.041207436 = score(doc=4823,freq=12.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.43094325 = fieldWeight in 4823, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4823)
    0.033585876 = product of:
      0.06717175 = sum of:
        0.06717175 = weight(_text_:schemes in 4823) [ClassicSimilarity], result of:
          0.06717175 = score(doc=4823,freq=4.0), product of:
            0.16067243 = queryWeight, product of:
              5.3512506 = idf(docFreq=569, maxDocs=44218)
              0.03002521 = queryNorm
            0.41806644 = fieldWeight in 4823, product of:
              2.0 = tf(freq=4.0), with freq of:
                4.0 = termFreq=4.0
              5.3512506 = idf(docFreq=569, maxDocs=44218)
              0.0390625 = fieldNorm(doc=4823)
      0.5 = coord(1/2)
    0.041207436 = weight(_text_:classification in 4823) [ClassicSimilarity], result of:
      0.041207436 = score(doc=4823,freq=12.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.43094325 = fieldWeight in 4823, product of:
          3.4641016 = tf(freq=12.0), with freq of:
            12.0 = termFreq=12.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4823)
  0.21428572 = coord(3/14)

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.

Source

Classification and ontology: formal approaches and access to knowledge: proceedings of the International UDC Seminar, 19-20 September 2011, The Hague, The Netherlands. Eds.: A. Slavic u. E. Civallero

0.009516451 = product of:
  0.06661515 = sum of:
    0.033307575 = weight(_text_:classification in 3530) [ClassicSimilarity], result of:
      0.033307575 = score(doc=3530,freq=4.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.34832728 = fieldWeight in 3530, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3530)
    0.033307575 = weight(_text_:classification in 3530) [ClassicSimilarity], result of:
      0.033307575 = score(doc=3530,freq=4.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.34832728 = fieldWeight in 3530, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0546875 = fieldNorm(doc=3530)
  0.14285715 = coord(2/14)

Abstract

Classes in the Dewey Decimal Classification (DDC) system function as neighborhoods around focal topics in captions and notes. Topical neighborhoods are generated through specialization and instantiation, complex topic synthesis, index terms and mapped headings, hierarchical force, rules for choosing between numbers, development of the DDC over time, and use of the system in classifying resources. Implications of representation using a formal knowledge representation language are explored.

0.009516451 = product of:
  0.06661515 = sum of:
    0.033307575 = weight(_text_:classification in 4615) [ClassicSimilarity], result of:
      0.033307575 = score(doc=4615,freq=4.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.34832728 = fieldWeight in 4615, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4615)
    0.033307575 = weight(_text_:classification in 4615) [ClassicSimilarity], result of:
      0.033307575 = score(doc=4615,freq=4.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.34832728 = fieldWeight in 4615, product of:
          2.0 = tf(freq=4.0), with freq of:
            4.0 = termFreq=4.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4615)
  0.14285715 = coord(2/14)

Abstract

This paper investigates the semantics of topical, associative see-also relationships in schedule and table entries of the Dewey Decimal Classification (DDC) system. Based on the see-also relationships in a random sample of 100 classes containing one or more of these relationships, a semi-structured inventory of sources of see-also relationships is generated, of which the most important are lexical similarity, complementarity, facet difference, and relational configuration difference. The premise that see-also relationships based on lexical similarity may be language-specific is briefly examined. The paper concludes with recommendations on the continued use of see-also relationships in the DDC.

0.007690453 = product of:
  0.053833168 = sum of:
    0.026916584 = weight(_text_:classification in 3397) [ClassicSimilarity], result of:
      0.026916584 = score(doc=3397,freq=2.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.28149095 = fieldWeight in 3397, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0625 = fieldNorm(doc=3397)
    0.026916584 = weight(_text_:classification in 3397) [ClassicSimilarity], result of:
      0.026916584 = score(doc=3397,freq=2.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.28149095 = fieldWeight in 3397, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0625 = fieldNorm(doc=3397)
  0.14285715 = coord(2/14)

0.0067291465 = product of:
  0.047104023 = sum of:
    0.023552012 = weight(_text_:classification in 4696) [ClassicSimilarity], result of:
      0.023552012 = score(doc=4696,freq=2.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.24630459 = fieldWeight in 4696, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4696)
    0.023552012 = weight(_text_:classification in 4696) [ClassicSimilarity], result of:
      0.023552012 = score(doc=4696,freq=2.0), product of:
        0.09562149 = queryWeight, product of:
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.03002521 = queryNorm
        0.24630459 = fieldWeight in 4696, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          3.1847067 = idf(docFreq=4974, maxDocs=44218)
          0.0546875 = fieldNorm(doc=4696)
  0.14285715 = coord(2/14)

Abstract

WordNet, a lexical database for English, is organized around semantic and lexical relationships between synsets, concepts represented by sets of synonymous word senses. Offering reasonably comprehensive coverage of the nouns, verbs, adjectives, and adverbs of general English, WordNet is a widely used resource for dealing with the ambiguity that arises from homonymy, polysemy, and synonymy. WordNet is used in many information-related tasks and applications (e.g., word sense disambiguation, semantic similarity, lexical chaining, alignment of parallel corpora, text segmentation, sentiment and subjectivity analysis, text classification, information retrieval, text summarization, question answering, information extraction, and machine translation).