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  • × author_ss:"Yang, L."
  1. Yang, L.; Ji, D.; Leong, M.: Document reranking by term distribution and maximal marginal relevance for chinese information retrieval (2007) 0.00 
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    Abstract
    In this paper, we propose a document reranking method for Chinese information retrieval. The method is based on a term weighting scheme, which integrates local and global distribution of terms as well as document frequency, document positions and term length. The weight scheme allows randomly setting a larger portion of the retrieved documents as relevance feedback, and lifts off the worry that very fewer relevant documents appear in top retrieved documents. It also helps to improve the performance of maximal marginal relevance (MMR) in document reranking. The method was evaluated by MAP (mean average precision), a recall-oriented measure. Significance tests showed that our method can get significant improvement against standard baselines, and outperform relevant methods consistently.
    Type
    a
  2. Shi, D.; Rousseau, R.; Yang, L.; Li, J.: ¬A journal's impact factor is influenced by changes in publication delays of citing journals (2017) 0.00 
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    Abstract
    In this article we describe another problem with journal impact factors by showing that one journal's impact factor is dependent on other journals' publication delays. The proposed theoretical model predicts a monotonically decreasing function of the impact factor as a function of publication delay, on condition that the citation curve of the journal is monotone increasing during the publication window used in the calculation of the journal impact factor; otherwise, this function has a reversed U shape. Our findings based on simulations are verified by examining three journals in the information sciences: the Journal of Informetrics, Scientometrics, and the Journal of the Association for Information Science and Technology.
    Type
    a
  3. Yang, L.; Wu, Y.: Creating a taxonomy of earth-quake disaster response and recovery for online earthquake information management (2019) 0.00 
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    Abstract
    The goal of this study is to develop a taxonomy of earthquake response and recovery using online information re-sources for organizing and sharing earthquake-related online in-formation resources. A constructivist/interpretivist research par-adigm was used in the study. A combination of top-down and bottom-up approaches was used to build the taxonomy. Facet analysis of disaster management, the timeframe of disaster man-agement, and modular design were performed when designing the taxonomy. Two case studies were done to demonstrate the usefulness of the taxonomy for organizing and sharing infor-mation. The facet-based taxonomy can be used to organize online information for browsing and navigation. It can also be used to index and tag online information resources to support searching. It creates a common language for earthquake manage-ment stakeholders to share knowledge. The top three level cate-gories of the taxonomy can be applied to the management of other types of disasters. The taxonomy has implications for earthquake online information management, knowledge manage-ment and disaster management. The approach can be used to build taxonomies for managing online information resources on other topics (including various types of time-sensitive disaster re-sponses). We propose a common language for sharing infor-mation on disasters, which has great social relevance.
    Type
    a
  4. Xu, Y.(C.); Tan, C.Y.(B.); Yang, L.: Who will you ask? : an empirical study of interpersonal task information seeking (2006) 0.00 
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    Abstract
    Information seeking behavior is an important form of human behavior. Past literature in information science and organizational studies has employed the cost-benefit framework to analyze seekers' information-source choice decision. Conflicting findings have been discovered with regard to the importance of source quality and source accessibility in seekers' choices. With a focus on interpersonal task information seeking, this study proposes a seeker-source-information need framework to understand the source choice decision. In this framework, task importance, as an attribute of information need, is introduced to moderate seekers' cost-benefit calculation. Our empirical study finds that in the context of interpersonal task information seeking, first, the least effort principle might not be adequate in explaining personal source choices; rather, a quality-driven perspective is more adequate, and cost factors are of much less importance. Second, the seeker-source relationship is not significant to source choices. Third, the nature of information need, especially task importance, can modify seekers' source choice decisions.
    Type
    a
  5. Wu, Y.; Yang, L.: Construction and evaluation of an oil spill semantic relation taxonomy for supporting knowledge discovery (2015) 0.00 
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    Abstract
    The paper presents the rationale, significance, method and procedure of building a taxonomy of semantic relations in the oil spill domain for supporting knowledge discovery through inference. Difficult problems during the development of the taxonomy are discussed and partial solutions are proposed. A preliminary functional evaluation of the taxonomy for supporting knowledge discovery was performed. Durability an expansibility of the taxonomy were evaluated by using the taxonomy to classifying the terms in a biomedical relation ontology. The taxonomy was found to have full expansibility and high degree of durability. The study proposes more research problems than solutions.
    Type
    a

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