research-article

Considering Common Data Model for Indoor Location-aware Services

Authors:

Shinsuke Matsumoto,

Masahide NakamuraAuthors Info & Claims

LocWeb '14: Proceedings of the 4th International Workshop on Location and the Web

Pages 25 - 32

https://doi.org/10.1145/2663713.2664423

Published: 03 November 2014 Publication History

Abstract

Indoor positioning system (IPS) identifies positions of various indoor objects, and is a key technology to achieve sophisticated Indoor Location-Aware Services (InLAS). In most conventional systems, InLAS and IPS are tightly coupled. That is, one system does not supposed to reuse indoor location data and program of another system. This makes individual systems complex and difficult to manage. To cope with the problem, we propose Data Model for Indoor Location (DM4InL), which prescribes a common data schema, 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: location, building and object models. We also design the fundamental API, which implements typical queries to the indoor location data from external applications. The proposed method achieves loose-coupling of InLAS and IPS, which significantly improves the efficiency and reusability in the InLAS development.

References

[1]

I. Afyouni, C. Ray, and C. Claramunt. Spatial models for context-aware indoor navigation systems: A survey. J. Spatial Information Science, 4(1):85--123, 2012.

[2]

C. Kevin, F. Eoghan, J. Lunney, J. Santos, D. Woods, and A. McCaughey. An evaluation of indoor location determination technologies. J. Location Based Services, 5(2):61--78, Jun 201

Digital Library

[3]

K. Hattori, T. Fujii, Y. Kado, and B. Zhang. Verification of the indoor user position and direction presumption system by using the two dimensional marker (in Japanese). J. Information Processing Society of Japan. Ubiquitous Computing Systems (IPSJ. UBI), 2008(18):203--207, feb 2008.

[4]

H.-S. Kim, D.-R. Kim, S.-H. Yang, Y.-H. Son, and S.-K. Han. An indoor visible light communication positioning system using a RF carrier allocation technique. J. Lightwave Technology, 31(1):134--144, Jan 2013.

[5]

Y.-J. Kim, H.-Y Kang, and J. Lee. Development of indoor spatial data model using CityGML ADE. J. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-2/W2:41--45, 2013.

[6]

Koozyt Inc. About placeengine, 2011. Retrieved September 7, 2014 from http://www.placeengine.com/showe/about.

[7]

U. Leonhardt and J. Magee. Multi-sensor location tracking. In Proceedings of the 4th Annual ACM/IEEE International Conference on Mobile Computing and Networking, MobiCom'98, pages 203--214, New York, USA, 1998. ACM.

Digital Library

[8]

D. Manandhar and H. Torimoto. Opening up indoors: Japan's indoor messaging system, IMES, 2011. Retrieved September 11, 2014 from http://gpsworld.com/wirelessindoor-positioningopening-up-indoors-11603/.

[9]

Navizon Inc. Navizon indoor triangulation system, 2014. Retrieved September 8, 2014 from http://www.navizon.com/product-navizon-indoor-triangulation-system.

[10]

NEC Corp. Smartlocator (in Japanese), 2014. Retrieved September 7, 2014 from http://jpn.nec.com/engsl/pro/smartlocator/index.html.

[11]

NTT Data MSE Corp. Shoplat (in Japanese), 2014. Retrieved September 7, 2014 from https://www.nttdocomo.co.jp/service/convenience/shoplat.

[12]

T. Ogasawara, H. Igaki, A. Inoue, and T. Hoshi. Velsy: Development support system for indoor location platform (in Japanese). J. Human Interface Society, 15(2):131--150, 2013.

[13]

A. Pratama, Widyawan, and R. Hidayat. Smartphone-based pedestrian dead reckoning as an indoor positioning system. In System Engineering and Technology (ICSET), 2012 International Conference on, pages 1--6, Sept 2012.

[14]

N. B. Priyantha, A. Chakraborty, and H. Balakrishnan. The cricket location-support system. In Proceedings of the 6th Annual International Conference on Mobile Computing and Networking, MobiCom'00, pages 32--43, New York, USA, 2000. ACM.

Digital Library

[15]

S. Shekhar and H. Xiong. Encyclopedia of GIS. Springer Publishing Company, Incorporated, 1st edition, 2007.

Digital Library

[16]

J. Sookman. Guardly releases industry-first integrated indoor positioning system to provide responders with floor and room-level accuracy of mobile emergency callers, February 2013. Retrieved September 7, 2014 from http://blog.guardly.com/guardblog/2013/02/26.

[17]

S. Ting, S. Kwok, A. H. Tsang, and G. T. Ho. The study on using passive RFID tags for indoor positioning. J. Engineering Business Management, 3(1):9--15, 2011.

[18]

K. Watanabe. Introduction to Data Modeling for Database Designing (in Japanese). Nippon Jitsugyo, Tokyo, 2003.

Cited By

Niu LSaiki SMatsumoto SNakamura M(2016)WIF4InL: Web-based integration framework for Indoor locationInternational Journal of Pervasive Computing and Communications10.1108/IJPCC-01-2016-000912:1(49-65)Online publication date: 4-Apr-2016
https://doi.org/10.1108/IJPCC-01-2016-0009
Niu LSaiki SMatsumoto SNakamura MAnderst-Kotsis GIndrawan-Santiago M(2015)Implementation and evaluation of cloud-based integration framework for indoor locationProceedings of the 17th International Conference on Information Integration and Web-based Applications & Services10.1145/2837185.2837220(1-10)Online publication date: 11-Dec-2015
https://dl.acm.org/doi/10.1145/2837185.2837220
Ahlers DWilde EMartins B(2015)Report on the Fourth Workshop on Location and the Web (LocWeb 2014)ACM SIGIR Forum10.1145/2795403.279541349:1(35-40)Online publication date: 23-Jun-2015
https://dl.acm.org/doi/10.1145/2795403.2795413
Show More Cited By

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Considering Common Data Model for Indoor Location-aware Services

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Published In

cover image ACM Conferences

LocWeb '14: Proceedings of the 4th International Workshop on Location and the Web

November 2014

48 pages

ISBN:9781450314596

DOI:10.1145/2663713

General Chairs:
Dirk Ahlers
NTNU -- Norwegian University of Science and Technology
,
Erik Wilde
EMC Corporation
,
Bruno Martins
University of Lisbon, IST and INESC-ID

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 03 November 2014

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Ministry of Education, Culture, Sports, Science, and Technology
Kawanishi Memorial ShinMaywa Education Foundation

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CIKM '14

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CIKM '14: 2014 ACM Conference on Information and Knowledge Management

November 3, 2014

Shanghai, China

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LocWeb '14 Paper Acceptance Rate 4 of 5 submissions, 80%;

Overall Acceptance Rate 4 of 5 submissions, 80%

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Cited By

Niu LSaiki SMatsumoto SNakamura M(2016)WIF4InL: Web-based integration framework for Indoor locationInternational Journal of Pervasive Computing and Communications10.1108/IJPCC-01-2016-000912:1(49-65)Online publication date: 4-Apr-2016
https://doi.org/10.1108/IJPCC-01-2016-0009
Niu LSaiki SMatsumoto SNakamura MAnderst-Kotsis GIndrawan-Santiago M(2015)Implementation and evaluation of cloud-based integration framework for indoor locationProceedings of the 17th International Conference on Information Integration and Web-based Applications & Services10.1145/2837185.2837220(1-10)Online publication date: 11-Dec-2015
https://dl.acm.org/doi/10.1145/2837185.2837220
Ahlers DWilde EMartins B(2015)Report on the Fourth Workshop on Location and the Web (LocWeb 2014)ACM SIGIR Forum10.1145/2795403.279541349:1(35-40)Online publication date: 23-Jun-2015
https://dl.acm.org/doi/10.1145/2795403.2795413
Ahlers DWilde EMartins BLi JWang XGarofalakis MSoboroff ISuel TWang M(2014)LocWeb'14 - 4th International Workshop on Location and the WebProceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management10.1145/2661829.2663542(2096-2097)Online publication date: 3-Nov-2014
https://dl.acm.org/doi/10.1145/2661829.2663542

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