The corn plant ontology is constructed using Formal Concept Analysis(FCA) based approach in which the concept lattice is built from terminology-file relationship table and further reduced. Based on the corn plant ontology, it proposes a semantic annotation method in which the feature words are selected by an improved method for weight calculation and the RDF triples are generated by syntactic parser. Ontology-based user query processing and recommendation are discussed and a semantic retrieval system for corn plant is developed. In comparative experiment, one hundred documents are selected as the dataset, and the result shows that the semantic retrieval system is superior to keyword-based retrieval method in precision ratio and recall ratio.
semantic retrieval system,
Formal Concept Analysis(FCA),