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中文摘要：
采用形式概念分析方法由词汇一文件关系表构造概念格并进行约简，建立玉米种植本体。提出基于领域本体的语义标注方法，改进现有的权值计算方法以获得特征词，经句法分析生成RDF三元组。实现基于领域本体的用户查询处理和查询推荐算法，研制面向玉米种植的语义检索系统，并选取100篇玉米种植文档作为实验文本集合进行对比实验，结果表明，该语义检索系统在查准率和查全率上均优于基于关键字的检索方法。
英文摘要：
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.
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