CAJ | 학술논문

为了能够有效度量模式匹配的不确定性，提出了一个模式匹配不确定性的度量模型，根据不确定性因素间的关系提出了一个集结算子。使用全知熵度量语义匹配和属性匹配的不确定性，引入过程不确定性的度量方法度量匹配决策过程的不确定性。使用多因素集结算子判断各因素的影响程度，并可合成各度量结果。实验证明，所提模型和方法能够有效度量模式匹配的不确定性，且具有高效性和可扩展性。
위료능구유효도량모식필배적불학정성，제출료일개모식필배불학정성적도량모형，근거불학정성인소간적관계제출료일개집결산자。사용전지적도량어의필배화속성필배적불학정성，인입과정불학정성적도량방법도량필배결책과정적불학정성。사용다인소집결산자판단각인소적영향정도，병가합성각도량결과。실험증명，소제모형화방법능구유효도량모식필배적불학정성，차구유고효성화가확전성。
To measure efficiently uncertainty of schema matching, a measure model based on all uncertain factors was proposed and an aggregation operator was given according to the relations of uncertain factors. A measure meth?od of semantic matching and attribute matching based on all known entropy uncertain ratio was designed. A measure algorithm of process uncertainty was introduced to measure uncertainty of a decision making process. The aggrega?tion operator based on relationships between uncertain factors was proposed to determine influence degree of uncer?tain factors and merge all measure values in the measure process. The real world examples illustrate that the pro?posed model and methods can completely reflect three factors of uncertainty and can measure efficiently uncertainty for schema matching. The proposed methods are efficient and scalable.