I-JEN: Visual interactive malaysia crime news retrieval system

Nazlena Mohamad Ali, Masnizah Mohd, Hyowon Lee, Alan F. Smeaton, Fabio Crestani, Shahrul Azman Mohd Noah

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

4 Citations (Scopus)

Abstract

Supporting crime news investigation involves a mechanism to help monitor the current and past status of criminal events. We believe this could be well facilitated by focusing on the user interfaces and the event crime model aspects. In this paper we discuss on a development of Visual Interactive Malaysia Crime News Retrieval System (i-JEN) and describe the approach, user studies and planned, the system architecture and future plan. Our main objectives are to construct crime-based event; investigate the use of crime-based event in improving the classification and clustering; develop an interactive crime news retrieval system; visualize crime news in an effective and interactive way; integrate them into a usable and robust system and evaluate the usability and system performance. The system will serve as a news monitoring system which aims to automatically organize, retrieve and present the crime news in such a way as to support an effective monitoring, searching, and browsing for the target users groups of general public, news analysts and policemen or crime investigators. The study will contribute to the better understanding of the crime data consumption in the Malaysian context as well as the developed system with the visualisation features to address crime data and the eventual goal of combating the crimes.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages284-294
Number of pages11
Volume7067 LNCS
EditionPART 2
DOIs
Publication statusPublished - 2011
Event2nd International Visual Informatics Conference, IVIC 2011 - Selangor
Duration: 9 Nov 201111 Nov 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7067 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Visual Informatics Conference, IVIC 2011
CitySelangor
Period9/11/1111/11/11

Fingerprint

Malaysia
Crime
Retrieval
User Studies
Browsing
System Architecture
Monitoring System
Usability
User Interface
System Performance
Monitor
Visualization
Integrate
Vision
Clustering
Monitoring
Target
Evaluate
User interfaces

Keywords

  • content analysis
  • crime news
  • interaction design
  • Visual Informatics
  • visualisation

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Mohamad Ali, N., Mohd, M., Lee, H., Smeaton, A. F., Crestani, F., & Mohd Noah, S. A. (2011). I-JEN: Visual interactive malaysia crime news retrieval system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (PART 2 ed., Vol. 7067 LNCS, pp. 284-294). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7067 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-25200-6_27

I-JEN : Visual interactive malaysia crime news retrieval system. / Mohamad Ali, Nazlena; Mohd, Masnizah; Lee, Hyowon; Smeaton, Alan F.; Crestani, Fabio; Mohd Noah, Shahrul Azman.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7067 LNCS PART 2. ed. 2011. p. 284-294 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7067 LNCS, No. PART 2).

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

Mohamad Ali, N, Mohd, M, Lee, H, Smeaton, AF, Crestani, F & Mohd Noah, SA 2011, I-JEN: Visual interactive malaysia crime news retrieval system. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 edn, vol. 7067 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 7067 LNCS, pp. 284-294, 2nd International Visual Informatics Conference, IVIC 2011, Selangor, 9/11/11. https://doi.org/10.1007/978-3-642-25200-6_27
Mohamad Ali N, Mohd M, Lee H, Smeaton AF, Crestani F, Mohd Noah SA. I-JEN: Visual interactive malaysia crime news retrieval system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 7067 LNCS. 2011. p. 284-294. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). https://doi.org/10.1007/978-3-642-25200-6_27
Mohamad Ali, Nazlena ; Mohd, Masnizah ; Lee, Hyowon ; Smeaton, Alan F. ; Crestani, Fabio ; Mohd Noah, Shahrul Azman. / I-JEN : Visual interactive malaysia crime news retrieval system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7067 LNCS PART 2. ed. 2011. pp. 284-294 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).
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