基于石油领域本体的多源信息融合框架

Ontology-Based Multi-Source Petroleum Information Fusion Framework

对多源石油数据的分析是一个很复杂的过程,容易产生语义和语法上的冲突.通过利用本体在知识表达和自动推理上的优势,构建了一个基于本体的石油领域多源信息融合框架,并在该框架的基础上提出基于本体的元素的相似度算法及融合规则,经实验分析,能够提高多源石油数据分析的效率.

Analyzing petroleum data from multi-source is a laborious and complex process,which often results in semantic and syntax conflicts.In this study,we take advantage of the knowledge representation and automatic reasoning of the ontology and propose an ontology-based multi-source petroleum information fusion framework.On the basis of this framework,ontology-based element similarity algorithm and fusion rules are proposed.Experimental results demonstrate that such framework improves the analysis efficiency of petroleum multi-source data.