Presentation 2022-07-04
Efficient Query Solution and Highly Compressed Indexing for Large RDF Graphs
Koji Fujiwara, Ken Kaneiwa,
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Abstract(in Japanese) (See Japanese page)
Abstract(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 isimportant 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 morethan 20 times effective.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Large RDF Graphs / SPARQL / Data Compression / Data Indexing / Query Plan
Paper # AI2022-6
Date of Issue 2022-06-27 (AI)

Conference Information
Committee AI
Conference Date 2022/7/4(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Yuichi Sei(Univ. of Electro-Comm.)
Vice Chair Yuko Sakurai(AIST) / Tadachika Ozono(Nagoya Inst. of Tech.)
Secretary Yuko Sakurai(Tokyo Univ. of Agriculture and Technology) / Tadachika Ozono(Toho Univ.)
Assistant Kazutaka Matsuzaki(Chuo Univ.)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
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
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)
Date 2022-07-04
Paper # AI2022-6
Volume (vol) vol.122
Number (no) AI-94
Page pp.pp.31-36(AI),
#Pages 6
Date of Issue 2022-06-27 (AI)