Standard

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: Contribution to journal › Conference article › peer-review

Harvard

Sevostyanov, V, Novikov, B & Chernishev, G 2018, 'Physical design tuning of RDF stores', CEUR Workshop Proceedings, vol. 2158, pp. 161-169.

APA

Sevostyanov, V., Novikov, B., & Chernishev, G. (2018). Physical design tuning of RDF stores. CEUR Workshop Proceedings, 2158, 161-169.

Vancouver

Sevostyanov V, Novikov B, Chernishev G. Physical design tuning of RDF stores. CEUR Workshop Proceedings. 2018 Sep 1;2158:161-169.

Author

Sevostyanov, Vsevolod ; Novikov, Boris ; Chernishev, George. / Physical design tuning of RDF stores. In: CEUR Workshop Proceedings. 2018 ; Vol. 2158. pp. 161-169.

BibTeX

@article{c4c96b50aafd41e08f1d57dfbf17845c,
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",
author = "Vsevolod Sevostyanov and Boris Novikov and George Chernishev",
year = "2018",
month = sep,
day = "1",
language = "English",
volume = "2158",
pages = "161--169",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "RWTH Aahen University",
note = "13th International Baltic Conference on Databases and Information Systems, DB and IS 2018 ; Conference date: 01-07-2018 Through 04-07-2018",

}

RIS

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

UR - http://www.scopus.com/inward/record.url?scp=85054937611&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:85054937611

VL - 2158

SP - 161

EP - 169

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

T2 - 13th International Baltic Conference on Databases and Information Systems, DB and IS 2018

Y2 - 1 July 2018 through 4 July 2018

ER -

ID: 35272854