Constructing Inter-relational Rules for Semantic Query Optimisation

Lowden, Barry G. T.; Robinson, Jerome

doi:10.1007/3-540-46146-9_58

Cited by 6 publications

(4 citation statements)

References 17 publications

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“…Queryby-example [21] aims at proposing a language for querying relational data constructed from sample tables filled with example rows and constraints. A related topic in the field of databases is semantic query optimization [13,17], which aims at learning a semantically equivalent query which yields a more efficient execution plan that satisfy the integrity constraints and dependencies.…”

Section: Related Workmentioning

confidence: 99%

Automating model transformation by example using inductive logic programming

Varró

Balogh

2007

Proceedings of the 2007 ACM Symposium on Applied Computing

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Model transformation by example [18] is a novel approach in model-driven software engineering to derive model transformation rules from an initial prototypical set of interrelated source and target models, which describe critical cases of the model transformation problem in a purely declarative way. In the current paper, we automate this approach using inductive logic programming [14] which aims at the inductive construction of first-order clausal theories from examples and background knowledge.

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Section: Related Workmentioning

confidence: 99%

Automating model transformation by example using inductive logic programming

Varró

Balogh

2007

Proceedings of the 2007 ACM Symposium on Applied Computing

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“…This section summarize and describe the related work on main types of SQO as they have been classified by various researchers [1,4,6,[8][9][10][11][12] and then put our system in context. There are four broad categories of Semantic Query Optimization:…”

Section: Related Workmentioning

confidence: 99%

“…A query restriction may imply an additional (redundant) restriction which, when introduced, increases efficiency. This typically occurs when the introduced restriction involves an indexed attribute [10,19].…”

Section: Restriction Introductionmentioning

confidence: 99%

SQOPI: Semantic Query Optimization Framework

Hassan¹,

Sultan²

2014

IJCA

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Semantic query optimization uses semantic knowledge in databases to rewrite queries and logic programs for the purpose of more efficient query evaluation. There has been a large body of work in the area of semantic query optimization. But, unfortunately, till now no commercial application of sematic query optimization techniques has received wide attention. In this paper, we address this problem by developing a unified framework (Application Programming Interface) called SQOPI that could be used by any application developer to semantically optimize queries executed against relational database regardless of DBMS type used. Our results show that SQOPI improves both time and I/O efficiency.

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“…Query-by-example [38] aims at proposing a language for querying relational data constructed from sample tables filled with example rows and constraints. A related topic in the field of databases is semantic query optimization [20,30], which aims at learning a semantically equivalent query which yields a more efficient execution plan that satisfy the integrity constraints and dependencies.…”

Section: Related Workmentioning

confidence: 99%

Model transformation by example using inductive logic programming

Balogh

Varró

2008

Softw Syst Model

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Model transformation by example is a novel approach in model-driven software engineering to derive model transformation rules from an initial prototypical set of interrelated source and target models, which describe critical cases of the model transformation problem in a purely declarative way. In the current paper, we automate this approach using inductive logic programming (Muggleton and Raedt in J Logic Program 19-20:629-679, 1994) which aims at the inductive construction of first-order clausal theories from examples and background knowledge.

show abstract

Constructing Inter-relational Rules for Semantic Query Optimisation

Cited by 6 publications

References 17 publications

Automating model transformation by example using inductive logic programming

Automating model transformation by example using inductive logic programming

SQOPI: Semantic Query Optimization Framework

Model transformation by example using inductive logic programming

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