Search (3 results, page 1 of 1)

  • × author_ss:"Wu, Y."
  • × year_i:[2020 TO 2030}
  1. Wang, F.; Yang, J.; Wu, Y.: Non-synchronism in theoretical research of information science (2021) 0.00 
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    Abstract
    Purpose This paper aims to reveal the global non-synchronism that exists in the theoretical research of information science (IS) by analyzing and comparing the distribution of theory use, creation and borrowing in four representative journals from the USA, the UK and China. Design/methodology/approach Quantitative content analysis is adopted as the research method. First, an analytical framework for non-synchronism in theoretical research of IS is constructed. Second, theories mentioned in the full texts of the research papers of four journals are extracted according to a theory dictionary made before. Third, the non-synchronism in the theoretical research of IS is analyzed. Findings Non-synchronism exists in many aspects of the theoretical research of IS between journals, subject areas and countries/regions. The theoretical underdevelopment still exists in some subject areas of IS. IS presents obvious interdisciplinary characteristics. The theoretical distance from IS to social sciences is shorter than that to natural sciences. Research limitations/implications This study investigates the theoretical research of IS from the perspective of non-synchronism theory, reveals the theoretical distance from IS to other sciences, deepens the communication between different subject and regional sub-communities of IS and provides new evidences for the necessity of developing domestic theories and theorists of IS. Originality/value This study introduces the theory of non-synchronism to IS research for the first time, investigates the new advances in theoretical research of IS and provides new quantitative evidences for the understanding of the interdisciplinary characteristics of IS and the necessity of better communication between sub-communities of IS.
    Source
    Journal of documentation. 77(2021) no.6, S.1430-1454
  2. Kang, X.; Wu, Y.; Ren, W.: Toward action comprehension for searching : mining actionable intents in query entities (2020) 0.00 
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    Abstract
    Understanding search engine users' intents has been a popular study in information retrieval, which directly affects the quality of retrieved information. One of the fundamental problems in this field is to find a connection between the entity in a query and the potential intents of the users, the latter of which would further reveal important information for facilitating the users' future actions. In this article, we present a novel research method for mining the actionable intents for search users, by generating a ranked list of the potentially most informative actions based on a massive pool of action samples. We compare different search strategies and their combinations for retrieving the action pool and develop three criteria for measuring the informativeness of the selected action samples, that is, the significance of an action sample within the pool, the representativeness of an action sample for the other candidate samples, and the diverseness of an action sample with respect to the selected actions. Our experiment, based on the Action Mining (AM) query entity data set from the Actionable Knowledge Graph (AKG) task at NTCIR-13, suggests that the proposed approach is effective in generating an informative and early-satisfying ranking of potential actions for search users.
    Source
    Journal of the Association for Information Science and Technology. 71(2020) no.2, S.143-157
  3. Wu, Y.: Organization of complex topics in comprehensive classification schemes : case studies of disaster and security (2023) 0.00 
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    Abstract
    This research investigates how comprehensive classifications and home-grown classifications organize complex topics. Two comprehensive classifications and two home-grown taxonomies are used to examine two complex topics: disaster and security. The two comprehensive classifications are the Library of Congress Classification and the Classification Scheme for Chinese Libraries. The two home-grown taxonomies are AIRS 211 LA County Taxonomy of Human Services - Disaster Services, and the Human Security Taxonomy. It is found that a comprehensive classification may provide many subclasses of a complex topic, which are scattered in various classes. Occasionally the classification scheme may provide several small taxonomies that organize the terms of a subclass of the complex topic that are pulled from multiple classes. However, the comprehensive classification provides no organization of the major subclasses of the complex topic. The lack of organization of the major subclasses of the complex topic may prevent users from understanding the complex topic systematically, and so preventing them from selecting an appropriate classification term for the complex topic. Ideally a comprehensive classification should provide a high-level conceptual framework for the complex topic, or at least organize the major subclasses in a way that help users understand the complex topic systematically.

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