Physical design tuning of RDF stores

Research output

Abstract

RDF is a data model that allows to describe relationships between arbitrary entities in the form of subject-predicate-object. While representing data in such form is convenient, its efficient processing poses a number of challenges. Therefore, at present it is highly active research venue with lots of existing approaches. One of such approaches is based on characteristic sets. Essentially, it is a collection of records that describes an entity together with its properties. Usage of characteristic sets was shown to significantly speed up RDF query processing. In this paper we present a research proposal for a post-graduate project related to partitioning of tables obtained by characteristic set extraction. Our goal is to design a partitioning method that would be beneficial to processing of a such tables. In this report we survey existing RDF processing systems approaches, briefly describe our vision of partitioning approach and present a plan for further studies.

Original languageEnglish
Pages (from-to)161-169
Number of pages9
JournalCEUR Workshop Proceedings
Volume2158
Publication statusPublished - 1 Sep 2018
Event13th International Baltic Conference on Databases and Information Systems, DB and IS 2018 - Trakai
Duration: 1 Jul 20184 Jul 2018

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Tuning
Processing
Query processing
Data structures

Scopus subject areas

  • Computer Science(all)

Cite this

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title = "Physical design tuning of RDF stores",
abstract = "RDF is a data model that allows to describe relationships between arbitrary entities in the form of subject-predicate-object. While representing data in such form is convenient, its efficient processing poses a number of challenges. Therefore, at present it is highly active research venue with lots of existing approaches. One of such approaches is based on characteristic sets. Essentially, it is a collection of records that describes an entity together with its properties. Usage of characteristic sets was shown to significantly speed up RDF query processing. In this paper we present a research proposal for a post-graduate project related to partitioning of tables obtained by characteristic set extraction. Our goal is to design a partitioning method that would be beneficial to processing of a such tables. In this report we survey existing RDF processing systems approaches, briefly describe our vision of partitioning approach and present a plan for further studies.",
keywords = "Data Partitioning, Physical Design, RDF",
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Physical design tuning of RDF stores. / Sevostyanov, Vsevolod; Novikov, Boris; Chernishev, George.

In: CEUR Workshop Proceedings, Vol. 2158, 01.09.2018, p. 161-169.

Research output

TY - JOUR

T1 - Physical design tuning of RDF stores

AU - Sevostyanov, Vsevolod

AU - Novikov, Boris

AU - Chernishev, George

PY - 2018/9/1

Y1 - 2018/9/1

N2 - RDF is a data model that allows to describe relationships between arbitrary entities in the form of subject-predicate-object. While representing data in such form is convenient, its efficient processing poses a number of challenges. Therefore, at present it is highly active research venue with lots of existing approaches. One of such approaches is based on characteristic sets. Essentially, it is a collection of records that describes an entity together with its properties. Usage of characteristic sets was shown to significantly speed up RDF query processing. In this paper we present a research proposal for a post-graduate project related to partitioning of tables obtained by characteristic set extraction. Our goal is to design a partitioning method that would be beneficial to processing of a such tables. In this report we survey existing RDF processing systems approaches, briefly describe our vision of partitioning approach and present a plan for further studies.

AB - RDF is a data model that allows to describe relationships between arbitrary entities in the form of subject-predicate-object. While representing data in such form is convenient, its efficient processing poses a number of challenges. Therefore, at present it is highly active research venue with lots of existing approaches. One of such approaches is based on characteristic sets. Essentially, it is a collection of records that describes an entity together with its properties. Usage of characteristic sets was shown to significantly speed up RDF query processing. In this paper we present a research proposal for a post-graduate project related to partitioning of tables obtained by characteristic set extraction. Our goal is to design a partitioning method that would be beneficial to processing of a such tables. In this report we survey existing RDF processing systems approaches, briefly describe our vision of partitioning approach and present a plan for further studies.

KW - Data Partitioning

KW - Physical Design

KW - RDF

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