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Representation of Recipe Flow Graphs in Succinct Data Structures

Published: 05 June 2019 Publication History

Abstract

The recipe flow graph is a directed acyclic graph for representing the procedure of the cooking recipe, and it is expected to contribute to the research to understand the whole meaning of the recipe text precisely. The recent rapid increase in health awareness has generated a large amount of user-generated recipe texts and corresponding recipe flow graphs in social networking services. In this research, to alleviate the problem of huge memory consumption and long computation time for handling a large number of recipe flow graphs, we propose to utilize succinct data structures to store the databases of recipe flow graphs. The effectiveness of our implementations of flow graph databases in two types of succinct data structures for trees and graphs was confirmed by the preliminary experiments using real recipe flow graphs.

References

[1]
S. Mori, H. Maeta, Y. Yamakata, and T. Sasada: Flow graph corpus from recipe texts, Proc. of the 9th International Conference on Language Resources and Evaluation, pp.2370--2377 (2014)
[2]
S. Mori, H. Maeta, T. Sasada, K. Yoshino, A. Hashimoto, T. Funatomi, and Y. Yamakata: FlowGraph2Text: Automatic Sentence Skeleton Compilation for Procedural Text Generation, Proc. of the 8th International Natural Language Generation Conference, pp.118--122 (2014)
[3]
Y. Yamakata, H. Maeta, T. Kadowaki, T. Sasada, S. Imahori and S. Mori: Cooking Recipe Search by Pairs of Ingredient and Action, Transactions of the Japanese Society for Artificial Intelligence, Vol.32, No.1, pp.1--9 (2017)
[4]
G. J. Jacobson: Succinct static data structures, Doctoral Dissertation, Carnegie Mellon University Pittsburgh, PA, USA (1988)
[5]
G.Navarro: Compact data structures - a practical approach, Cambridge University Press (2016)
[6]
G. Jacobson: Space-efficient static trees and graphs, Proc. of the 30th Annual Symposium on Foundations of Computer Science, pp.549--545 (1989)
[7]
N. Rahman and R. Raman: Engineering the louds succinct tree representation, Proc. of the 5th International Workshop on Experimental and Efficient Algorithms, pp.134--145 (2006)
[8]
J. Fischer and D. Peters: GLOUDS: Representing tree-like graphs, Journal of Discrete Algorithms, Vol.36, pp.39--49 (2016)
[9]
R. Grossi and A. Gupta: High-order entropy-compressed text indexes, Proc. of the 14th Annual ACM-SIAM Symposium on Discrete Algorithms, pp.841--850 (2003)

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  1. Representation of Recipe Flow Graphs in Succinct Data Structures

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      cover image ACM Conferences
      CEA '19: Proceedings of the 11th Workshop on Multimedia for Cooking and Eating Activities
      June 2019
      51 pages
      ISBN:9781450367790
      DOI:10.1145/3326458
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 05 June 2019

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      Author Tags

      1. flow graph
      2. recipe
      3. succinct data structure

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