基于语义模型的企业数据检索

Semantic Search of Enterprise Data Based on Semantic Model

为了支持企业在决策时从企业数据中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和语义模型进行语义关联。并在此基础上,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 decision - making, an approach of semantic search based on Semantic Model was proposed, in this paper, in which the semantic model is firstly described on the basis of concept tree, and the data sources are connected with the semantic model via concept mapping. After this, the mapping between the semantic model and the knowledge model supporting the description logic inference is set up. Then the semantic search is realized by calling the description logic reasoner. With the assistant of semantic model, the corresponding data source information is reflected by the search result. At last, retum to the data view in which all the semantics are helpful to the decision.