Search (13 results, page 1 of 1)

  • × author_ss:"Wang, J."
  1. Hicks, D.; Wang, J.: Coverage and overlap of the new social sciences and humanities journal lists (2011) 0.04
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    Date
    22. 1.2011 13:21:28
    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.284-294
  2. He, R.; Wang, J.; Tian, J.; Chu, C.-T.; Mauney, B.; Perisic, I.: Session analysis of people search within a professional social network (2013) 0.03
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    Date
    19. 4.2013 20:31:22
    Source
    Journal of the American Society for Information Science and Technology. 64(2013) no.5, S.929-950
  3. Jiang, Z.; Gu, Q.; Yin, Y.; Wang, J.; Chen, D.: GRAW+ : a two-view graph propagation method with word coupling for readability assessment (2019) 0.03
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    Date
    15. 4.2019 13:46:22
    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.5, S.433-447
  4. Wang, J.; Halffman, W.; Zhang, Y.H.: Sorting out journals : the proliferation of journal lists in China (2023) 0.03
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    Date
    22. 9.2023 16:39:23
    Source
    Journal of the Association for Information Science and Technology. 74(2023) no.10, S.1207-1228
  5. Shen, R.; Wang, J.; Fox, E.A.: ¬A Lightweight Protocol between Digital Libraries and Visualization Systems (2002) 0.03
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:15:14
  6. Gauch, S.; Wang, J.: Corpus analysis for TREC 5 query expansion (1997) 0.02
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    Imprint
    Gaithersburgh, MD : National Institute of Standards and Technology
  7. Strzalkowski, T.; Guthrie, L.; Karlgren, J.; Leistensnider, J.; Lin, F.; Perez-Carballo, J.; Straszheim, T.; Wang, J.; Wilding, J.: Natural language information retrieval : TREC-5 report (1997) 0.01
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    Imprint
    Gaithersburgh, MD : National Institute of Standards and Technology
  8. Wang, J.: ¬An extensive study on automated Dewey Decimal Classification (2009) 0.01
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    Abstract
    In this paper, we present a theoretical analysis and extensive experiments on the automated assignment of Dewey Decimal Classification (DDC) classes to bibliographic data with a supervised machine-learning approach. Library classification systems, such as the DDC, impose great obstacles on state-of-art text categorization (TC) technologies, including deep hierarchy, data sparseness, and skewed distribution. We first analyze statistically the document and category distributions over the DDC, and discuss the obstacles imposed by bibliographic corpora and library classification schemes on TC technology. To overcome these obstacles, we propose an innovative algorithm to reshape the DDC structure into a balanced virtual tree by balancing the category distribution and flattening the hierarchy. To improve the classification effectiveness to a level acceptable to real-world applications, we propose an interactive classification model that is able to predict a class of any depth within a limited number of user interactions. The experiments are conducted on a large bibliographic collection created by the Library of Congress within the science and technology domains over 10 years. With no more than three interactions, a classification accuracy of nearly 90% is achieved, thus providing a practical solution to the automatic bibliographic classification problem.
    Source
    Journal of the American Society for Information Science and Technology. 60(2009) no.11, S.2269-2286
  9. Wang, J.; Guan, J.: ¬The analysis and evaluation of knowledge efficiency in research groups (2005) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 56(2005) no.11, S.1217-1226
  10. Lu, C.; Bu, Y.; Wang, J.; Ding, Y.; Torvik, V.; Schnaars, M.; Zhang, C.: Examining scientific writing styles from the perspective of linguistic complexity : a cross-level moderation model (2019) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 70(2019) no.5, S.462-475
  11. Zhang, D.; Pee, L.G.; Pan, S.L.; Wang, J.: Information practices in data analytics for supporting public health surveillance (2024) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 75(2023) no.1, S.79-93
  12. Wang, J.: Automatic thesaurus development : term extraction from title metadata (2006) 0.01
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    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.7, S.907-920
  13. Qiu, J.; Zuo, M.; Wang, J.; Cai, C.: Knowledge order in an online knowledge community : group heterogeneity and two paths mediated by group interaction (2021) 0.01
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    Source
    Journal of the Association for Information Science and Technology. 72(2021) no.8, S.1075-1091