An effective retrieval method with semantic networks for mobile life-log of smartphones

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

Abstract

Smartphone is now playing an important role in our daily life. The various sensors and multiple features of smartphones can collect abundant information about people's life experience, which is called mobile life-log. Life-logs are useful for people to recall past meaningful events and remind of meaningful experiences. However, as the amount of life-log becomes vast, it requires an efficient way to organize and store such vast information. Semantic networks, which are used to implement human retrieval system, can help people to effectively organize and retrieve life-logs collected from smartphones. In this paper, we propose a method of mobile life-log search based on semantic relation in semantic networks. By using semantic relation, we reduce the unnecessary intermediate results so as to reduce the usage of computer memory and retrieval time. To demonstrate the usefulness of the proposed method, we constructed mobile life-log semantic networks and conducted experiment on it. As a result, the proposed method is useful for life-log retrieval in the semantic networks.

Original languageEnglish
Title of host publicationNeural Information Processing - 20th International Conference, ICONIP 2013, Proceedings
Pages753-760
Number of pages8
EditionPART 2
DOIs
Publication statusPublished - 2013 Dec 1
Event20th International Conference on Neural Information Processing, ICONIP 2013 - Daegu, Korea, Republic of
Duration: 2013 Nov 32013 Nov 7

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8227 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other20th International Conference on Neural Information Processing, ICONIP 2013
CountryKorea, Republic of
CityDaegu
Period13/11/313/11/7

Fingerprint

Semantic Network
Smartphones
Retrieval
Semantics
Life
Data storage equipment
Sensors
Sensor

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Xu, H., & Cho, S. B. (2013). An effective retrieval method with semantic networks for mobile life-log of smartphones. In Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings (PART 2 ed., pp. 753-760). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8227 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-42042-9_93
Xu, Hu ; Cho, Sung Bae. / An effective retrieval method with semantic networks for mobile life-log of smartphones. Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2. ed. 2013. pp. 753-760 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
@inproceedings{cbfea463277b4e90970a3ffd3bd04679,
title = "An effective retrieval method with semantic networks for mobile life-log of smartphones",
abstract = "Smartphone is now playing an important role in our daily life. The various sensors and multiple features of smartphones can collect abundant information about people's life experience, which is called mobile life-log. Life-logs are useful for people to recall past meaningful events and remind of meaningful experiences. However, as the amount of life-log becomes vast, it requires an efficient way to organize and store such vast information. Semantic networks, which are used to implement human retrieval system, can help people to effectively organize and retrieve life-logs collected from smartphones. In this paper, we propose a method of mobile life-log search based on semantic relation in semantic networks. By using semantic relation, we reduce the unnecessary intermediate results so as to reduce the usage of computer memory and retrieval time. To demonstrate the usefulness of the proposed method, we constructed mobile life-log semantic networks and conducted experiment on it. As a result, the proposed method is useful for life-log retrieval in the semantic networks.",
author = "Hu Xu and Cho, {Sung Bae}",
year = "2013",
month = "12",
day = "1",
doi = "10.1007/978-3-642-42042-9_93",
language = "English",
isbn = "9783642420412",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
number = "PART 2",
pages = "753--760",
booktitle = "Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings",
edition = "PART 2",

}

Xu, H & Cho, SB 2013, An effective retrieval method with semantic networks for mobile life-log of smartphones. in Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8227 LNCS, pp. 753-760, 20th International Conference on Neural Information Processing, ICONIP 2013, Daegu, Korea, Republic of, 13/11/3. https://doi.org/10.1007/978-3-642-42042-9_93

An effective retrieval method with semantic networks for mobile life-log of smartphones. / Xu, Hu; Cho, Sung Bae.

Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2. ed. 2013. p. 753-760 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8227 LNCS, No. PART 2).

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

TY - GEN

T1 - An effective retrieval method with semantic networks for mobile life-log of smartphones

AU - Xu, Hu

AU - Cho, Sung Bae

PY - 2013/12/1

Y1 - 2013/12/1

N2 - Smartphone is now playing an important role in our daily life. The various sensors and multiple features of smartphones can collect abundant information about people's life experience, which is called mobile life-log. Life-logs are useful for people to recall past meaningful events and remind of meaningful experiences. However, as the amount of life-log becomes vast, it requires an efficient way to organize and store such vast information. Semantic networks, which are used to implement human retrieval system, can help people to effectively organize and retrieve life-logs collected from smartphones. In this paper, we propose a method of mobile life-log search based on semantic relation in semantic networks. By using semantic relation, we reduce the unnecessary intermediate results so as to reduce the usage of computer memory and retrieval time. To demonstrate the usefulness of the proposed method, we constructed mobile life-log semantic networks and conducted experiment on it. As a result, the proposed method is useful for life-log retrieval in the semantic networks.

AB - Smartphone is now playing an important role in our daily life. The various sensors and multiple features of smartphones can collect abundant information about people's life experience, which is called mobile life-log. Life-logs are useful for people to recall past meaningful events and remind of meaningful experiences. However, as the amount of life-log becomes vast, it requires an efficient way to organize and store such vast information. Semantic networks, which are used to implement human retrieval system, can help people to effectively organize and retrieve life-logs collected from smartphones. In this paper, we propose a method of mobile life-log search based on semantic relation in semantic networks. By using semantic relation, we reduce the unnecessary intermediate results so as to reduce the usage of computer memory and retrieval time. To demonstrate the usefulness of the proposed method, we constructed mobile life-log semantic networks and conducted experiment on it. As a result, the proposed method is useful for life-log retrieval in the semantic networks.

UR - http://www.scopus.com/inward/record.url?scp=84893357259&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84893357259&partnerID=8YFLogxK

U2 - 10.1007/978-3-642-42042-9_93

DO - 10.1007/978-3-642-42042-9_93

M3 - Conference contribution

AN - SCOPUS:84893357259

SN - 9783642420412

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 753

EP - 760

BT - Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings

ER -

Xu H, Cho SB. An effective retrieval method with semantic networks for mobile life-log of smartphones. In Neural Information Processing - 20th International Conference, ICONIP 2013, Proceedings. PART 2 ed. 2013. p. 753-760. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-42042-9_93