Semantic networks of mobile life-log for associative search based on activity theory

Keunhyun Oh, Sung Bae Cho

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

1 Citation (Scopus)

Abstract

Recently, due to proliferation of mobile devices, we can collect users' life-log. Human long-term memory is an interconnected network. The retrieval system of it is cue-dependent. Semantic networks are used to implement it of human retrieval system. It is possible to retrieve relevant data more effectively by using a search system based on network visualization which provides relations among data rather than a text-based search system. This paper proposes representation of semantic networks of mobile life-log based on activity theory, and associatively finds data based on network visualization for it. We have implemented the system, searched data from an example of search, and performed a subjective test. As a result, we have confirmed that this system is useful for associative retrieval resembled to human cue-dependent recall.

Original languageEnglish
Title of host publicationPRICAI 2010
Subtitle of host publicationTrends in Artificial Intelligence - 11th Pacific Rim International Conference on Artificial Intelligence, Proceedings
Pages643-648
Number of pages6
DOIs
Publication statusPublished - 2010
Event11th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2010 - Daegu, Korea, Republic of
Duration: 2010 Aug 302010 Sept 2

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6230 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2010
Country/TerritoryKorea, Republic of
CityDaegu
Period10/8/3010/9/2

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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