Independence Under Incomplete Information
Miika Hannula, Minna Hirvonen, Juha Kontinen, and Sebastian Link

TL;DR
This paper explores how independence concepts can be effectively represented in relational databases with incomplete information, introducing possible and certain independence, and analyzing their implications and computational complexities.
Contribution
It proposes new independence concepts for incomplete information in relational databases and analyzes their axiomatisability and computational complexity.
Findings
Established results on axiomatisability of independence concepts
Analyzed computational complexity of implication problems
Presented data and combined complexity results for model checking
Abstract
We initiate an investigation how the fundamental concept of independence can be represented effectively in the presence of incomplete information in relational databases. The concepts of possible and certain independence are proposed, and first results regarding the axiomatisability and computational complexity of implication problems associated with these concepts are established. In addition, several results for the data and the combined complexity of model checking are presented. The findings help reduce computational overheads associated with the processing of updates and answering of queries.
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Taxonomy
TopicsLogic, Reasoning, and Knowledge · Semantic Web and Ontologies · Advanced Database Systems and Queries
