A semantic extension model used in vegetable supply chain domain concepts acquisition

This paper proposed a new method to acquire vegetable supply chain domain knowledge from three semantic extension layers. For a single domain concept, qualitative reasoning and quantitative reasoning are used to reach the first semantic extension layer; for more than two domain concepts, Advanced Similarity Measure (ASM) arithmetic is adopted to reach the second semantic extension layer. These two semantic extension layers are achieved internal of vegetable supply chain ontology model. WordNet and Locally Linear Embedding (LLE) arithmetic are adopted to reach the third semantic extension layer, which is achieved external of the ontology model. The experiments have proven the efficiency of this method. The method can be expanded to domain concepts acquisition of other fields.