Presentation 2021-12-27
Tree decomposition compression using tree grammar and query processing based on answer set programming
Kazuyuki Kojima, Hiroyuki Seki,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Tree decomposition of a graph is an effective approach to solving problems for large graphs while the decomposition itself needs much time in general.In the previous work, we proposed a method of compressing a decomposed tree and directly manipulating the compressed data.However, a query must be manually written assuming a compressed data. In this paper, we propose a query processing method based on answer set programming.A user can write a query in a declarative way without assuming a compressed data and the query can be translated into a program that directly manipulates a compressed data.The paper shows the experimental results conducted in our prototype system implemented by Clingo and C++.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) graph / tree decomposition / compression / answer setprogramming / Clingo
Paper # DE2021-16
Date of Issue 2021-12-20 (DE)

Conference Information
Committee DE / IPSJ-DBS
Conference Date 2021/12/27(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Naofumi Yoshida(Komazawa Univ.)
Vice Chair Akiyoshi Matono(AIST) / Yu Suzuki(Gifu Univ.)
Secretary Akiyoshi Matono(Kanagawa Inst. of Tech.) / Yu Suzuki(Osaka Univ.)
Assistant Ken Honda(Komazawa Univ.) / Hiroki Nomiya(Kyoto Inst. of Tech)

Paper Information
Registration To Technical Committee on Data Engineering / Special Interest Group on Database System
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Tree decomposition compression using tree grammar and query processing based on answer set programming
Sub Title (in English)
Keyword(1) graph
Keyword(2) tree decomposition
Keyword(3) compression
Keyword(4) answer setprogramming
Keyword(5) Clingo
1st Author's Name Kazuyuki Kojima
1st Author's Affiliation Nagoya University(Nagoya Univ.)
2nd Author's Name Hiroyuki Seki
2nd Author's Affiliation Nagoya University(Nagoya Univ.)
Date 2021-12-27
Paper # DE2021-16
Volume (vol) vol.121
Number (no) DE-314
Page pp.pp.7-12(DE),
#Pages 6
Date of Issue 2021-12-20 (DE)