Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
Physical design tuning of RDF stores. / Sevostyanov, Vsevolod; Novikov, Boris; Chernishev, George.
в: CEUR Workshop Proceedings, Том 2158, 01.09.2018, стр. 161-169.Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование
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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