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Research on Knowledge Element Relation and Knowledge Service for Agricultural Literature Resource

The volume of publicly available data in agriculture literature resource is constantly increasing. For the problem, we provide an effective method that help the user get a desired integrated knowledge unit with minimal time and energy. The method mainly implements knowledge relation and knowledge service based knowledge element with standardized structure and knowledge level relation label. The proposed method can integrate knowledge element from diverse knowledge sources and produce new knowledge for user based on the knowledge extraction and classification. At last, we will provide knowledge service application cases based on knowledge element model.