Search (5 results, page 1 of 1)

  • × author_ss:"Li, G."
  1. Lu, K.; Mao, J.; Li, G.: Toward effective automated weighted subject indexing : a comparison of different approaches in different environments (2018) 0.00 
    0.0042041745 = product of:
  0.05885844 = sum of:
    0.05885844 = weight(_text_:representation in 4292) [ClassicSimilarity], result of:
      0.05885844 = score(doc=4292,freq=8.0), product of:
        0.11578492 = queryWeight, product of:
          4.600994 = idf(docFreq=1206, maxDocs=44218)
          0.025165197 = queryNorm
        0.50834286 = fieldWeight in 4292, product of:
          2.828427 = tf(freq=8.0), with freq of:
            8.0 = termFreq=8.0
          4.600994 = idf(docFreq=1206, maxDocs=44218)
          0.0390625 = fieldNorm(doc=4292)
  0.071428575 = coord(1/14)
    Abstract
    Subject indexing plays an important role in supporting subject access to information resources. Current subject indexing systems do not make adequate distinctions on the importance of assigned subject descriptors. Assigning numeric weights to subject descriptors to distinguish their importance to the documents can strengthen the role of subject metadata. Automated methods are more cost-effective. This study compares different automated weighting methods in different environments. Two evaluation methods were used to assess the performance. Experiments on three datasets in the biomedical domain suggest the performance of different weighting methods depends on whether it is an abstract or full text environment. Mutual information with bag-of-words representation shows the best average performance in the full text environment, while cosine with bag-of-words representation is the best in an abstract environment. The cosine measure has relatively consistent and robust performance. A direct weighting method, IDF (Inverse Document Frequency), can produce quick and reasonable estimates of the weights. Bag-of-words representation generally outperforms the concept-based representation. Further improvement in performance can be obtained by using the learning-to-rank method to integrate different weighting methods. This study follows up Lu and Mao (Journal of the Association for Information Science and Technology, 66, 1776-1784, 2015), in which an automated weighted subject indexing method was proposed and validated. The findings from this study contribute to more effective weighted subject indexing.
  2. Meng, K.; Ba, Z.; Ma, Y.; Li, G.: ¬A network coupling approach to detecting hierarchical linkages between science and technology (2024) 0.00 
    0.0025225044 = product of:
  0.03531506 = sum of:
    0.03531506 = weight(_text_:representation in 1205) [ClassicSimilarity], result of:
      0.03531506 = score(doc=1205,freq=2.0), product of:
        0.11578492 = queryWeight, product of:
          4.600994 = idf(docFreq=1206, maxDocs=44218)
          0.025165197 = queryNorm
        0.3050057 = fieldWeight in 1205, product of:
          1.4142135 = tf(freq=2.0), with freq of:
            2.0 = termFreq=2.0
          4.600994 = idf(docFreq=1206, maxDocs=44218)
          0.046875 = fieldNorm(doc=1205)
  0.071428575 = coord(1/14)
    Abstract
    Detecting science-technology hierarchical linkages is beneficial for understanding deep interactions between science and technology (S&T). Previous studies have mainly focused on linear linkages between S&T but ignored their structural linkages. In this paper, we propose a network coupling approach to inspect hierarchical interactions of S&T by integrating their knowledge linkages and structural linkages. S&T knowledge networks are first enhanced with bidirectional encoder representation from transformers (BERT) knowledge alignment, and then their hierarchical structures are identified based on K-core decomposition. Hierarchical coupling preferences and strengths of the S&T networks over time are further calculated based on similarities of coupling nodes' degree distribution and similarities of coupling edges' weight distribution. Extensive experimental results indicate that our approach is feasible and robust in identifying the coupling hierarchy with superior performance compared to other isomorphism and dissimilarity algorithms. Our research extends the mindset of S&T linkage measurement by identifying patterns and paths of the interaction of S&T hierarchical knowledge.
  3. Li, G.; Siddharth, L.; Luo, J.: Embedding knowledge graph of patent metadata to measure knowledge proximity (2023) 0.00 
    4.8707667E-4 = product of:
  0.006819073 = sum of:
    0.006819073 = product of:
      0.02045722 = sum of:
        0.02045722 = weight(_text_:22 in 920) [ClassicSimilarity], result of:
          0.02045722 = score(doc=920,freq=2.0), product of:
            0.08812423 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.025165197 = queryNorm
            0.23214069 = fieldWeight in 920, 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=920)
      0.33333334 = coord(1/3)
  0.071428575 = coord(1/14)
    Date
    22. 3.2023 12:06:55
  4. Wang, S.; Ma, Y.; Mao, J.; Bai, Y.; Liang, Z.; Li, G.: Quantifying scientific breakthroughs by a novel disruption indicator based on knowledge entities : On the rise of scrape-and-report scholarship in online reviews research (2023) 0.00 
    4.0589727E-4 = product of:
  0.0056825615 = sum of:
    0.0056825615 = product of:
      0.017047685 = sum of:
        0.017047685 = weight(_text_:22 in 882) [ClassicSimilarity], result of:
          0.017047685 = score(doc=882,freq=2.0), product of:
            0.08812423 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.025165197 = queryNorm
            0.19345059 = fieldWeight in 882, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=882)
      0.33333334 = coord(1/3)
  0.071428575 = coord(1/14)
    Date
    22. 1.2023 18:37:33
  5. Yu, C.; Xue, H.; An, L.; Li, G.: ¬A lightweight semantic-enhanced interactive network for efficient short-text matching (2023) 0.00 
    4.0589727E-4 = product of:
  0.0056825615 = sum of:
    0.0056825615 = product of:
      0.017047685 = sum of:
        0.017047685 = weight(_text_:22 in 890) [ClassicSimilarity], result of:
          0.017047685 = score(doc=890,freq=2.0), product of:
            0.08812423 = queryWeight, product of:
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.025165197 = queryNorm
            0.19345059 = fieldWeight in 890, product of:
              1.4142135 = tf(freq=2.0), with freq of:
                2.0 = termFreq=2.0
              3.5018296 = idf(docFreq=3622, maxDocs=44218)
              0.0390625 = fieldNorm(doc=890)
      0.33333334 = coord(1/3)
  0.071428575 = coord(1/14)
    Date
    22. 1.2023 19:05:27

Authors

Years

Themes