CFP last date
22 April 2024
Reseach Article

Graphical Query Builder in Opportunistic Sensor Networks to discover Sensor Information

by A.F.M. Sultanul Kabir, Mohammad Saiful Islam Mamun
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 15 - Number 1
Year of Publication: 2011
Authors: A.F.M. Sultanul Kabir, Mohammad Saiful Islam Mamun
10.5120/1913-2551

A.F.M. Sultanul Kabir, Mohammad Saiful Islam Mamun . Graphical Query Builder in Opportunistic Sensor Networks to discover Sensor Information. International Journal of Computer Applications. 15, 1 ( February 2011), 11-25. DOI=10.5120/1913-2551

@article{ 10.5120/1913-2551,
author = { A.F.M. Sultanul Kabir, Mohammad Saiful Islam Mamun },
title = { Graphical Query Builder in Opportunistic Sensor Networks to discover Sensor Information },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 15 },
number = { 1 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 11-25 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume15/number1/1913-2551/ },
doi = { 10.5120/1913-2551 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:03:02.292698+05:30
%A A.F.M. Sultanul Kabir
%A Mohammad Saiful Islam Mamun
%T Graphical Query Builder in Opportunistic Sensor Networks to discover Sensor Information
%J International Journal of Computer Applications
%@ 0975-8887
%V 15
%N 1
%P 11-25
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A lot of sensor network applications are data-driven. We believe that query is the most preferred way to discover sensor services. Normally users are unaware of available sensors. Thus users need to pose different types of query over the sensor network to get the desired information. Even users may need to input more complicated queries with higher levels of aggregations, and requires more complex interactions with the system. As the users have no prior knowledge of the sensor data or services our aim is to develop a visual query interface where users can feed more user friendly queries and machine can understand those.

References
  1. Tim Fristedt, Marialena Garcia Lozano,Pontus Horling,Farshad Moradi,Johan Pelo,Peter Sigray ‘Service oriented Opportunistic Sensor networks(TOppS Project)- Feasibility study year 2007’.
  2. Wikipedia The Free Encyclopedia. Sensor.http://en.wikipedia.org, [accessed Apr 2009].
  3. Lilien, L. Gupta, A. Zijiang Yang. (2007). Opportunistic Networks for Emergency Applications and Their Standard Implementation Framework.
  4. Wikipedia the Free Encyclopedia. Semantic Web. http://en.wikipedia.org, [accessed Feb 2011].
  5. Wikipedia the Free Encyclopedia. XML. http://en.wikipedia.org, [accessed Feb 2011].
  6. Decker, S. et al., (2000) ‘The Semantic Web: The Roles of XML and RDF’ Internet Computing IEEE (Vol. 4, No. 5) pp. 63-74.
  7. Wikipedia the Free Encyclopedia. RDF. http://en.wikipedia.org, [accessed Feb 2011].
  8. Wikipedia the Free Encyclopedia. OWL.http://en.wikipedia.org, [accessed Feb 2011].
  9. Natalya F. N. & Deborah L. M.(2001) `Ontology Development 101: A Guide to Creating Your First Ontology'. Stanford Knowledge Systems Laboratory Technical Report KSL-01-05 and Stanford Medical Informatics Technical Report SMI-2001-0880.
  10. Wikipedia the Free Encyclopedia. SPARQL.http://en.wikipedia.org, [accessed Feb 2011].
  11. Wikipedia the Free Encyclopedia. Jena. http://en.wikipedia.org, [accessed Feb 2011].
  12. A Semantic Web Framework for Java -‘http://jena.sourceforge.net/’ Last visited September 3, 2008.
  13. Bontcheva, K., Damljanovic, D.& Tablan, V (2008)’ A Natural Language Query Interface to Structured Information ’ In: Proceedings of the Fifth European Semantic Web Conference (ESWC 2008), Spain.
  14. Kaufmann, E., & Bernstein, A. (2007): ‘How useful are natural language interfaces to the semantic web for casual end-users?’ In: Proceedings of the Forth European Semantic Web Conference (ESWC 2007), Innsbruck, Austria.
  15. Cimiano, P., et al., (2007) ‘ORAKEL: A Portable Natural Language Interface to Knowledge Bases’ Technical Report, Institute AIFB, University of Karlsruhe.
  16. Noy, N., et al., (2001) ‘Creating Semantic Web Contents with Prot_eg_e-2000’ IEEE Intelligent Systems 16(2) 60-71.
  17. Karin Camara ‘A visual query language served by a multi-sensor environment‘Master thesis submitted at Linkoping University.
  18. Russel, A. et all, (2008) ‘NITELIGHT: A Graphical Tool for Semantic Query Construction’. In: Semantic Web User Interaction Workshop (SWUI 2008), 5th April 2008, Florence, Italy.
  19. OpenLink iSPARQL-‘http://demo.openlinksw.com/isparql/’ [accessed Feb 2011].
  20. Technical Speaking Blog-‘http://thefigtrees.net/lee/blog/2008/01/why_sparql.html.’ [accessed Feb 2011].
  21. Pizza Ontology v 1.5 ‘http://www.co-ode.org/ontologies/pizza/2007/02/12/’[accessed Feb 2011].
  22. Wine Ontology ‘http://www.w3.org/TR/owl-guide/wine.owl’[accessed Feb 2011].
  23. W3C Recommendation SPARQL Query Language for RDF ‘http://www.w3.org/TR/rdf-sparql-query/’ [accessed Feb 2011].
Index Terms

Computer Science
Information Sciences

Keywords

Opportunistic Sensor Network Graphical Query