Search (5 results, page 1 of 1)

  • × author_ss:"Wang, J."
  • × type_ss:"a"
  • × year_i:[2000 TO 2010}
  1. Shen, R.; Wang, J.; Fox, E.A.: ¬A Lightweight Protocol between Digital Libraries and Visualization Systems (2002) 0.05
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    Date
    22. 2.2003 17:25:39
    22. 2.2003 18:15:14
    Series
    Lecture notes in computer science; 2539
  2. Wang, J.: Chinese serials : history, characteristics, and cataloging considerations (2003) 0.01
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    Abstract
    Chinese serials are an indispensable component of American academic library collections that have Chinese language or studies programs. This special type of collection has not only attracted the interest of Chinese scholars, but has also been more in demand by university students, faculty and researchers in the related fields. Academic libraries, especially those outside East Asian collections, face multiple challenges in ensuring access to this unique material due to limited library budgets and cataloging staff. This article focuses on enhancing the understanding of Chinese serials and the challenges in processing and cataloging this type of material, including a brief history of Chinese serials, a description of their unique characteristics, and issues concerning cataloging practice.
  3. 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
  4. 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
  5. Wang, J.: Automatic thesaurus development : term extraction from title metadata (2006) 0.00
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    Source
    Journal of the American Society for Information Science and Technology. 57(2006) no.7, S.907-920