Viewlon: Visualizing information on semantic sensor network

Masayuki Furuyama, Jun Mukai, Michita Imai

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

1 Citation (Scopus)

Abstract

The topic of getting information from sensor networks is becoming more important. Middleware will be required to manage various sensor data in future. We propose the Semantic Sensor Network (SS), which applies an ontology to sensor data and enables such data to be treated more easily. However, users have great difficulty to understand the information on the SS because its semantic data are complicatedly related with each other and the data and their relations evolve in time. The requirements for visualizing such information are; 1) the SS must give users the information appropriately, and 2) the SS must answer the users' queries. To meet these requirements, we propose Viewlon, software for visualizing information on the SS. To give the information appropriately, information display levels and a timeline view are introduced. In addition the functionality of processing queries provides the required information to users interactively. We experimented with Viewlon in a simulation environment, and the results show that Viewlon has the ability to present information to users and to answer their queries correctly.

Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence - JSAI 2006 Conference and Workshops, Revised Selected Papers
Pages65-76
Number of pages12
Publication statusPublished - 2007 Aug 27
Event20th Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2006 Conference and Workshops - Tokyo, Japan
Duration: 2006 Jun 52006 Jun 9

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4384 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other20th Annual Conference of the Japanese Society for Artificial Intelligence, JSAI 2006 Conference and Workshops
CountryJapan
CityTokyo
Period06/6/506/6/9

Keywords

  • Application
  • Human interface
  • Sensor network
  • Visualization

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Viewlon: Visualizing information on semantic sensor network'. Together they form a unique fingerprint.

  • Cite this

    Furuyama, M., Mukai, J., & Imai, M. (2007). Viewlon: Visualizing information on semantic sensor network. In New Frontiers in Artificial Intelligence - JSAI 2006 Conference and Workshops, Revised Selected Papers (pp. 65-76). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4384 LNAI).