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Paper Abstract and Keywords
Presentation 2014-03-08 11:40
Considering Common Data Model for Indoor Location-aware Services
Long Niu, Shinsuke Matsumoto, Sachio Saiki, Masahide Nakamura (Kobe Univ.) LOIS2013-71
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, research and development have been conducted on the Indoor Positioning System (IPS),which identifies locations of various indoor objects. The indoor location is promising to achieve sophisticated Indoor Location-Aware Services (InLAS), and some practical services come onto market. However, the conventional system does not suppose to reuse the data and program of the indoor locations of another system. This makes the system complex and difficult to manage. To cope with the problem, this paper presents Data Model for Indoor Location (DM4InL), which prescribes a common data model independent of implementation of IPS or the usage of InLAS. The proposed DM4InL represents the location of every indoor object in a standard way, by using three
kinds of models: position, building and object models. The proposed method achieves loose-coupling of InLAS and IPS, which significantly improves the efficiency and reusability in the InLAS development.
Keyword (in Japanese) (See Japanese page) 
(in English) indoor positioning system / location information / data modeling / location-aware service / API / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 479, LOIS2013-71, pp. 101-106, March 2014.
Paper # LOIS2013-71 
Date of Issue 2014-02-28 (LOIS) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF LOIS2013-71

Conference Information
Committee LOIS  
Conference Date 2014-03-07 - 2014-03-08 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To LOIS 
Conference Code 2014-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Considering Common Data Model for Indoor Location-aware Services 
Sub Title (in English)  
Keyword(1) indoor positioning system  
Keyword(2) location information  
Keyword(3) data modeling  
Keyword(4) location-aware service  
Keyword(5) API  
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1st Author's Name Long Niu  
1st Author's Affiliation Kobe University (Kobe Univ.)
2nd Author's Name Shinsuke Matsumoto  
2nd Author's Affiliation Kobe University (Kobe Univ.)
3rd Author's Name Sachio Saiki  
3rd Author's Affiliation Kobe University (Kobe Univ.)
4th Author's Name Masahide Nakamura  
4th Author's Affiliation Kobe University (Kobe Univ.)
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Speaker Author-1 
Date Time 2014-03-08 11:40:00 
Presentation Time 25 minutes 
Registration for LOIS 
Paper # LOIS2013-71 
Volume (vol) vol.113 
Number (no) no.479 
Page pp.101-106 
#Pages 6 
Date of Issue 2014-02-28 (LOIS) 

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