NDLI: Dealing with incomplete and uncertain context data in geographic information systems

Content Provider	IEEE Xplore Digital Library
Author	Frez, J. Baloian, N. Zurita, G. Pino, J.A.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Univ. of Chile, Santiago, Chile (Baloian, N.; Pino, J.A.) \|\| Sch. of Inf. & Telecommun. Eng., Univ. Diego Portales, Santiago, Chile (Frez, J.) \|\| Inf. Syst. & Manage. Dept., Univ. of Chile, Santiago, Chile (Zurita, G.)
Abstract	There are currently a growing number of people using smartphones or tablets, thus being potentially online at every moment. There are many useful applications using people's context data, to provide services to mobile telephony/internet subscribers. Location data is particularly interesting. These applications use location data assuming it is correct, which is sometimes not the case. In this work we propose a methodology for using incomplete/uncertain information to answer questions which include uncertainty like: “Which is the probability of finding exactly N persons within the geographic area A from time Tl to time T2?”, or “Which is the probability of having a traffic jam on street S between times Tl and T2?”. We also consider some logical constraints on the data. For instance: “Exclude counting people on the subway or inside buildings because the advertising will be on screens at open air”. Our approach uses Dempster-Shafer theory combined with an ontological definition of variable types sharing similar probabilistic behavior. The whole process and the results are explained using an example case based in one of the busiest areas of the world (the Shibuya Station in Tokyo, Japan), consisting of underground train lines, surface transportation, large avenues and shopping centers. A language to describe the fuzzy scenarios is also introduced along with an application which allows users to generate and visualize 2D and 3D suitability maps using this language.
Sponsorship	IEEE SMC Soc.
Starting Page	129
Ending Page	134
File Size	364922
Page Count	6
File Format	PDF
ISBN	9781479937769
DOI	10.1109/CSCWD.2014.6846829
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-21
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision support systems Conferences Computers Collaborative work Radio frequency location information mobile data probabilistic scenarios Dempster-Shafer theory
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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