title: Expert knowledge maps for knowledge management: a case study in Traditional Chinese Medicine research.
abstract: OBJECTIVE
  To design a model to capture information on the state and trends of knowledge creation, at both an individual and an organizational level, in order to enhance knowledge management.
  
  
  METHODS
  We designed a graph-theoretic knowledge model, the expert knowledge map (EKM), based on literature-based annotation. A case study in the domain of Traditional Chinese Medicine research was used to illustrate the usefulness of the model.
  
  
  RESULTS
  The EKM successfully captured various aspects of knowledge and enhanced knowledge management within the case-study organization through the provision of knowledge graphs, expert graphs, and expert-knowledge biography.
  
  
  CONCLUSIONS
  Our model could help to reveal the hot topics, trends, and products of the research done by an organization. It can potentially be used to facilitate knowledge learning, sharing and decision-making among researchers, academicians, students, and administrators of organizations.
authors.forename: Meng
authors.initials: M
authors.lastname: Cui
authors.forename: Shuo
authors.initials: S
authors.lastname: Yang
authors.forename: Tong
authors.initials: T
authors.lastname: Yu
authors.forename: Ce
authors.initials: C
authors.lastname: Yang
authors.forename: Yonghong
authors.initials: Y
authors.lastname: Gao
authors.forename: Haiyan
authors.initials: H
authors.lastname: Zhu
mesh_terms: D019317:Evidence-Based Medicine; D006801:Humans; D019451:Information Management; D016247:Information Storage and Retrieval; D058436:Knowledge Management; D008516:Medicine, Chinese Traditional; D011642:Publications