基于语义模型的企业数据检索

Semantic Query of Enterprise Data Based on Semantic Model

为了支持企业在决策时从企业数据中通过检索获得有意义的数据,提出了基于语义模型的语义检索方法。该方法首先基于概念树描述语义模型,通过概念映射将数据源与语义模型进行语义关联。在此基础上,建立语义模型和支持描述逻辑推理的知识模型之间的映射,通过调用描述逻辑推理机完成语义检索,检索结果再通过语义模型映射对应数据源信息,最终返回语义一致益于决策的数据视图。

To gain the meaningful data for the Enterprise-wide decision, an approach of Semantic query based on semantic model was proposed. In the context, organize the semantic model on the basis of concept tree, and attach the data sources to the semantic model via concept mapping. After this, construct the mapping between semantic model and knowledge model on which Description Logic can be used to infer. Then use reasoner to implement the semantic query. With the assistant of semantic model, get the data source information of query retrieval to locate the corresponding data , and make the view helpful and easy for decision.