云环境下的语义本体构建及其在语义检索中的应用

Semantic Ontology Construction and its Application of Semantic Retrieval in Cloud Environment

随着云技术的广泛应用,云环境下的语义检索也逐渐成为重要的研究内容,而语义本体构建是首先需要解决的问题.本文首先提出了一种基于相似度计算的数据部署策略,综合考虑了概念之间的结构相似度和语义相似度,将对象数据最优化的部署到不同的虚拟机分别构建语义本体,并给出了相应的语义检索算法.

With the wide application of cloud technology,semantic retrieval in cloud environment becomes a important research content,but semantic ontology must be constructed.This paper firstly put forward data deployment strategy based on the similarity,object data will be deployed to different virtual machine according to the structure similarity and semantic similarity of the concept.and then semantic ontology will be constructed respectively and the corresponding semantic retrieval algorithm is proposed.