Resolving attribute incompatibility in database integration: An evidential reasoning approach
Resolving domain incompatibility among independently developed databases often involves uncertain information. DeMichiel (1989) showed that uncertain information can be generated by the mapping of conflicting attributes to a common domain, based on some domain knowledge. The authors show that uncert...
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sg-smu-ink.sis_research-39032018-06-25T04:45:57Z Resolving attribute incompatibility in database integration: An evidential reasoning approach Ee-peng LIM, SHEKHAR, Shashi Resolving domain incompatibility among independently developed databases often involves uncertain information. DeMichiel (1989) showed that uncertain information can be generated by the mapping of conflicting attributes to a common domain, based on some domain knowledge. The authors show that uncertain information can also arise when the database integration process requires information not directly represented in the component databases, but can be obtained through some summary of data. They therefore propose an extended relational model based on Dempster-Shafer theory of evidence (1976) to incorporate such uncertain knowledge about the source databases. They also develop a full set of extended relational operations over the extended relations. In particular, an extended union operation has been formalized to combine two extended relations using Dempster's rule of combination. The closure and boundedness properties of the proposed extended operations are formulated. 1994-01-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/2903 info:doi/10.1109/ICDE.1994.283022 https://ink.library.smu.edu.sg/context/sis_research/article/3903/viewcontent/c3c69c4e5ff3c9d468bf4cb752e01257e978.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Databases and Information Systems |
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Databases and Information Systems Ee-peng LIM, SHEKHAR, Shashi Resolving attribute incompatibility in database integration: An evidential reasoning approach |
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Resolving domain incompatibility among independently developed databases often involves uncertain information. DeMichiel (1989) showed that uncertain information can be generated by the mapping of conflicting attributes to a common domain, based on some domain knowledge. The authors show that uncertain information can also arise when the database integration process requires information not directly represented in the component databases, but can be obtained through some summary of data. They therefore propose an extended relational model based on Dempster-Shafer theory of evidence (1976) to incorporate such uncertain knowledge about the source databases. They also develop a full set of extended relational operations over the extended relations. In particular, an extended union operation has been formalized to combine two extended relations using Dempster's rule of combination. The closure and boundedness properties of the proposed extended operations are formulated. |
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Ee-peng LIM, SHEKHAR, Shashi |
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Ee-peng LIM, SHEKHAR, Shashi |
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Ee-peng LIM, |
title |
Resolving attribute incompatibility in database integration: An evidential reasoning approach |
title_short |
Resolving attribute incompatibility in database integration: An evidential reasoning approach |
title_full |
Resolving attribute incompatibility in database integration: An evidential reasoning approach |
title_fullStr |
Resolving attribute incompatibility in database integration: An evidential reasoning approach |
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Resolving attribute incompatibility in database integration: An evidential reasoning approach |
title_sort |
resolving attribute incompatibility in database integration: an evidential reasoning approach |
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Institutional Knowledge at Singapore Management University |
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1994 |
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https://ink.library.smu.edu.sg/sis_research/2903 https://ink.library.smu.edu.sg/context/sis_research/article/3903/viewcontent/c3c69c4e5ff3c9d468bf4cb752e01257e978.pdf |
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