【摘要】 基于农业领域本体和词汇,给出一个针对农业领域的语义检索改进模型.该模型接受用户自然语言输入,通过计算词语与本体知识之间的相关度和相似度,来实现词汇到知识的映射.针对农业领域本体特点,给出相应的语义扩展规则,把检索结果从本体知识扩展到与之相关的资源文档,并对检索结果进行排序.更多还原

【Abstract】 A semantic retrieval model is proposed based on the ontology and vocabulary of agriculture domain.This mo-del provides an interface for user to input natural language,then it maps identified Key words to ontology entities by calculating the correlation and similarity between them;furthermore,we give a set of rules for semantic extension based on the features of agricultural ontology;and we extend and order the result got from the ontology to the annotated documents.更多还原