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An Investigation into Improving RDF Store Performance

An Investigation into Improving RDF Store Performance
An Investigation into Improving RDF Store Performance
This report considers the requirement for fast, efficient, and scalable triple stores as part of the effort to enable the Semantic Web. It summarises relevant information in the background field of Database Management Systems (DBMS), and analyses these techniques for the purposes of application in the field of RDF storage. The report concludes that for individuals and organisations to be willing to use Semantic Web technologies, data stores must advance beyond their current state. The report notes that there are several areas with opportunities for development, including scalability, low latency querying, distributed and federated stores, and improved support for updates and deletions. Experiences from the DBMS field can be used to maximise RDF store performance, and suggestions are provided for lines of investigation. Work already performed by the author on benchmarking and distributed storage is described, and a proposal made to research low-latency RDF querying for the purpose of supporting applications that require human interaction. Work packages are provided describing expected timetables for the remainder of the PhD program.
RDF, triple store, memory, indexing, Clustered TDB, database
Owens, Alisdair
138cceb9-1688-455f-a704-25331eaaa631
Owens, Alisdair
138cceb9-1688-455f-a704-25331eaaa631

Owens, Alisdair (2009) An Investigation into Improving RDF Store Performance.

Record type: Other

Abstract

This report considers the requirement for fast, efficient, and scalable triple stores as part of the effort to enable the Semantic Web. It summarises relevant information in the background field of Database Management Systems (DBMS), and analyses these techniques for the purposes of application in the field of RDF storage. The report concludes that for individuals and organisations to be willing to use Semantic Web technologies, data stores must advance beyond their current state. The report notes that there are several areas with opportunities for development, including scalability, low latency querying, distributed and federated stores, and improved support for updates and deletions. Experiences from the DBMS field can be used to maximise RDF store performance, and suggestions are provided for lines of investigation. Work already performed by the author on benchmarking and distributed storage is described, and a proposal made to research low-latency RDF querying for the purpose of supporting applications that require human interaction. Work packages are provided describing expected timetables for the remainder of the PhD program.

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More information

Accepted/In Press date: 2009
Keywords: RDF, triple store, memory, indexing, Clustered TDB, database
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 267917
URI: https://eprints.soton.ac.uk/id/eprint/267917
PURE UUID: 16f51bd6-11fd-41af-9c41-10d197d7853c

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Date deposited: 21 Sep 2009 12:48
Last modified: 18 Jul 2017 06:59

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