摘要
为了在检索过程中全面挖掘用户查询信息,文中提出了一种基于领域本体的语义合成技术,该方法以文本为数据源,引用数据源和领域本体之间的映射关系来表达数据文本的语义。文章提出了一个语义合成模型,该模型由领域本体、关键词语义抽取、概念语义相似度计算及语义推理等相关技术模型组成。文中对该模型进行了实验验证,通过对实验结果进行分析推理可知,文中提出的基于领域本体的语义合成模型提高了检索系统的查准率和计算机处理信息的能力,从而也提高了用户的满意度。
To overall mining the user' s query information in the retrieval system, a study of semantic synthesis is proposed based on domain ontology. The method uses text as data source, and the mapping relation between the data source and the domain ontology is refered to express semantic of the data text. The semantic synthesis model has been verified by experiments, which includes the relative technolo- gy models such as domain ontology, key words semantic extraction, concept semantic similarity calculation and semantic reasoning. The experiment results show that the precision rate of retrieval system,the process ability of the computer and the user satisfaction are all improved through studing on semantic synthesis based on domain ontology in this paper.
出处
《计算机技术与发展》
2013年第7期44-47,共4页
Computer Technology and Development
基金
国家"973"重点基础研究发展计划项目(2006AA01Z201)
关键词
领域本体
语义合成
语义相似度
概念映射
domain ontology
semantic synthesis
semantic similarity
concept mapping