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Paper Abstract and Keywords
Presentation 2022-07-04 11:50
Efficient Query Solution and Highly Compressed Indexing for Large RDF Graphs
Koji Fujiwara, Ken Kaneiwa (UEC) AI2022-6
Abstract (in Japanese) (See Japanese page) 
(in English) The number and size of RDF graphs on the Web grow continuously and demand efficient solutions with compressed data storage and fast search.
However, fast search is achieved by adding index structures, so it is
important to reduce both the search time and the memory space.
In this work, we propose a Relay Index with only a dual data structure and a query plan algorithm based on a Variable Chain with no additional data.
A comparative experiment with TENTRIS, known as a fast RDF store,
shows that the search time does not increase and the memory usage is more
than 20 times effective.
Keyword (in Japanese) (See Japanese page) 
(in English) Large RDF Graphs / SPARQL / Data Compression / Data Indexing / Query Plan / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 94, AI2022-6, pp. 31-36, July 2022.
Paper # AI2022-6 
Date of Issue 2022-06-27 (AI) 
ISSN Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF AI2022-6

Conference Information
Committee AI  
Conference Date 2022-07-04 - 2022-07-04 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2022-07-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Efficient Query Solution and Highly Compressed Indexing for Large RDF Graphs 
Sub Title (in English)  
Keyword(1) Large RDF Graphs  
Keyword(2) SPARQL  
Keyword(3) Data Compression  
Keyword(4) Data Indexing  
Keyword(5) Query Plan  
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1st Author's Name Koji Fujiwara  
1st Author's Affiliation The University of Electro-Communications (UEC)
2nd Author's Name Ken Kaneiwa  
2nd Author's Affiliation The University of Electro-Communications (UEC)
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Speaker Author-1 
Date Time 2022-07-04 11:50:00 
Presentation Time 20 minutes 
Registration for AI 
Paper # AI2022-6 
Volume (vol) vol.122 
Number (no) no.94 
Page pp.31-36 
#Pages
Date of Issue 2022-06-27 (AI) 


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