Petri net-based episode detection and story generation from ubiquitous life log

Young Seol Lee, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As mobile devices improve their performance in ubiquitous spaces, they have a variety of applications with more information. Active exploration follows for collecting and utilizing the information accumulated in ubiquitous environment. If user information in mobile devices can be summarized in a more intuitive and interesting form, like cartoon, it can help to share his experience with other people, and recall his meaningful memory. In this paper, we propose a method that organizes a story and generates cartoons using the information collected in ubiquitous environment. We generate cartoons with Petri net-based method, which describes causal relationship between experienced events and the precondition of events. Mobile information used in the experiment is collected from two female undergraduate students for two weeks. We confirm the potential of the proposed method for ambient intelligence through the analysis of the results.

Original languageEnglish
Title of host publicationUbiquitous Intelligence and Computing - 5th International Conference, UIC 2008, Proceedings
Pages535-547
Number of pages13
DOIs
Publication statusPublished - 2008 Aug 4
Event5th International Conference on Ubiquitous Intelligence and Computing, UIC 2008 - Oslo, Norway
Duration: 2008 Jun 232008 Jun 25

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5061 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Ubiquitous Intelligence and Computing, UIC 2008
CountryNorway
CityOslo
Period08/6/2308/6/25

Fingerprint

Petri nets
Petri Nets
Mobile devices
Mobile Devices
Students
Data storage equipment
Ambient Intelligence
Precondition
Experiments
Intuitive
Life
Narrative
Experiment
Ambient intelligence

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Lee, Y. S., & Cho, S. B. (2008). Petri net-based episode detection and story generation from ubiquitous life log. In Ubiquitous Intelligence and Computing - 5th International Conference, UIC 2008, Proceedings (pp. 535-547). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5061 LNCS). https://doi.org/10.1007/978-3-540-69293-5_42
Lee, Young Seol ; Cho, Sung Bae. / Petri net-based episode detection and story generation from ubiquitous life log. Ubiquitous Intelligence and Computing - 5th International Conference, UIC 2008, Proceedings. 2008. pp. 535-547 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Lee, YS & Cho, SB 2008, Petri net-based episode detection and story generation from ubiquitous life log. in Ubiquitous Intelligence and Computing - 5th International Conference, UIC 2008, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5061 LNCS, pp. 535-547, 5th International Conference on Ubiquitous Intelligence and Computing, UIC 2008, Oslo, Norway, 08/6/23. https://doi.org/10.1007/978-3-540-69293-5_42

Petri net-based episode detection and story generation from ubiquitous life log. / Lee, Young Seol; Cho, Sung Bae.

Ubiquitous Intelligence and Computing - 5th International Conference, UIC 2008, Proceedings. 2008. p. 535-547 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5061 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Lee YS, Cho SB. Petri net-based episode detection and story generation from ubiquitous life log. In Ubiquitous Intelligence and Computing - 5th International Conference, UIC 2008, Proceedings. 2008. p. 535-547. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-540-69293-5_42