[1]HU Wenbin,PAN Zhushan,JI Zhaohui.Uncertain measure for schema matching based on the aggregation of uncertain factors[J].CAAI Transactions on Intelligent Systems,2015,10(2):286-292.[doi:10.3969/j.issn.1673-4785.201405061]
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Uncertain measure for schema matching based on the aggregation of uncertain factors
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
10
Number of periods:
2015 2
Page number:
286-292
Column:
学术论文—机器感知与模式识别
Public date:
2015-04-25
- Title:
- Uncertain measure for schema matching based on the aggregation of uncertain factors
- Keywords:
- schema definition; schema analysis; schema matching; uncertainty analysis; measured data uncertainty; measurement method; decision analysis; entropy; aggregation estimation method
- CLC:
- TP18;TP391
- DOI:
- 10.3969/j.issn.1673-4785.201405061
- Abstract:
- 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 method 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 aggregation operator based on relationships between uncertain factors was proposed to determine influence degree of uncertain factors and merge all measure values in the measure process. The real world examples illustrate that the proposed 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.
- References:
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Last Update:
2015-06-15