Shortening SQL Queries for Relational Database Converted from an Ontology

This paper deals with the problem of querying of relational databases that were converted from an ontological database. Almost each conversion copies the syntax of the ontology. These approaches are aimed to fasten the query execution by use of relational database management systems that support imp...

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Published inJournal of Computer Science and Control Systems Vol. 4; no. 1; p. 183
Main Authors Szabó, Csaba, Tonhauserová, Iveta, Makarov, Vasil
Format Journal Article
LanguageEnglish
Published Oradea University of Oradea 01.05.2011
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Abstract This paper deals with the problem of querying of relational databases that were converted from an ontological database. Almost each conversion copies the syntax of the ontology. These approaches are aimed to fasten the query execution by use of relational database management systems that support implicit query optimization. The aim of this paper is to serve a possible extension to the existing conversion processes that allows the use of similar textual representation of queries in both SeRQL and SQL meaning preserving the connection to the semantics. [PUBLICATION ABSTRACT]
AbstractList This paper deals with the problem of querying of relational databases that were converted from an ontological database. Almost each conversion copies the syntax of the ontology. These approaches are aimed to fasten the query execution by use of relational database management systems that support implicit query optimization. The aim of this paper is to serve a possible extension to the existing conversion processes that allows the use of similar textual representation of queries in both SeRQL and SQL meaning preserving the connection to the semantics. [PUBLICATION ABSTRACT]
This paper deals with the problem of querying of relational databases that were converted from an ontological database. Almost each conversion copies the syntax of the ontology. These approaches are aimed to fasten the query execution by use of relational database management systems that support implicit query optimization. The aim of this paper is to serve a possible extension to the existing conversion processes that allows the use of similar textual representation of queries in both SeRQL and SQL meaning preserving the connection to the semantics.
Author Tonhauserová, Iveta
Szabó, Csaba
Makarov, Vasil
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Snippet This paper deals with the problem of querying of relational databases that were converted from an ontological database. Almost each conversion copies the...
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StartPage 183
SubjectTerms Conversion
Data base management systems
Joints
Ontology
Optimization
Queries
Query languages
Relational data bases
Semantic web
Semantics
Structured Query Language-SQL
Title Shortening SQL Queries for Relational Database Converted from an Ontology
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