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  • × author_ss:"Wu, Y."
  • × author_ss:"Yang, L."
  • × year_i:[2010 TO 2020}
  1. 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
  2. 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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