research-article

Integrating heterogeneous locating services for efficient development of location-based services

Authors:

Hiroki Takatsuka,

Seiki Tokunaga,

Shinsuke Matsumoto,

Masahide NakamuraAuthors Info & Claims

iiWAS '15: Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services

Article No.: 58, Pages 1 - 10

https://doi.org/10.1145/2837185.2837229

Published: 11 December 2015 Publication History

Abstract

This paper proposes a unified locating service, KULOCS, which horizontally integrates the heterogeneous locating services. Focusing on technology-independent elements [when], [where] and [who] in location queries, KULOCS integrates data and operations of the existing locating services. In the data integration, we propose a method where the time representation, the locations, the namespace are consolidated by Unix time, the location labels and the alias table, respectively. Based on possible combinations of the three elements, we then derive API for the operation integration.

In this paper, we also implement KULOCS as a Java Web service and integrate two locating services: GPS-based outdoor locating service and BLE-based indoor locating service. On top of the implementation, we develop application services: Umbrella Reminder Service and Stay Areas Visualization Service. Experimental evaluation shows the practical feasibility by comparing cases with or without KULOCS. Since KULOCS works as a seamless façade to the underlying locating services, the users and applications consume location information easily and efficiently, without knowing concrete services actually locating target objects.

References

[1]

Aplix MyBeacon MB004 At-SR. http://www.aplix.co.jp/?page_id=10721. Accessed: 2015-09-01.

[2]

Family Sharing. http://www.apple.com/ios/whats-new/family-sharing/. Accessed: 2015-09-01.

[3]

Glympse. https://www.glympse.com/. Accessed: 2015-09-01.

[4]

Google Maps APIs. https://developers.google.com/maps/. Accessed: 2015-09-01.

[5]

IndoorAtlas. https://www.indooratlas.com/. Accessed: 2015-09-01.

[6]

OpenID. http://openid.net/specs/openid-connect-core-1_0.html. Accessed: 2015-09-01.

[7]

OriginGPS. http://www.origingps.com/. Accessed: 2015-09-01.

[8]

Pathshare. https://pathsha.re/. Accessed: 2015-09-01.

[9]

Skyhook. http://www.skyhookwireless.com/. Accessed: 2015-09-01.

[10]

Swarm by foursquare. https://www.swarmapp.com/. Accessed: 2015-09-01.

[11]

Tiny GPS module. http://kilohertz.io/portfolio/tiny-gps-module/. Accessed: 2015-09-01.

[12]

C. Ahn and Y. Nah. Design of location-based web service framework for context-aware applications in ubiquitous environments. In 2010 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, pages 426--433, June 2010.

Digital Library

[13]

K. Christensen, L. Linnerup Christiansen, T. Pedersen, and J. Pihl. Searchlight: Context-aware predictive continuous querying of moving objects in symbolic space. In 2015 IEEE 31st International Conference on Data Engineering, pages 687--698, April 2015.

[14]

M. Ficco, F. Palmieri, and A. Castiglione. Hybrid indoor and outdoor location services for new generation mobile terminals. Personal and Ubiquitous Computing, 18(2):271--285, 2014.

Digital Library

[15]

M. Kohne and J. Sieck. Location-based services with ibeacon technology. In 2014 2nd International Conference on Artificial Intelligence, Modelling and Simulation, pages 315--321, November 2014.

Digital Library

[16]

D. Manandhar and H. Torimoto. Opening up indoors: Japan's indoor messaging system, IMES, 2011. http://gpsworld.com/wirelessindoor-positioningopening-up-indoors-11603/ Accessed: 2015-09-01.

[17]

A. R. Pratama, R. Hidayat, et al. Smartphone-based pedestrian dead reckoning as an indoor positioning system. In 2012 International Conference on System Engineering and Technology, pages 1--6. IEEE, September 2012.

[18]

H. Takatsuka, S. Saiki, S. Matsumoto, and M. Nakamura. Design and implementation of rule-based framework for context-aware services with web services. In The 16th International Conference on Information Integration and Web-based Applications & Services, pages 233--242, December 2014.

Digital Library

[19]

H. Takatsuka, S. Saiki, S. Matsumoto, and M. Nakamura. On integrating heterogeneous locating services. In 2nd EAI International Conference on IoT as a Service, October 2015. (to appear).

[20]

S. Ting, S. K. Kwok, A. H. Tsang, and G. T. Ho. The study on using passive RFID tags for indoor positioning. International journal of engineering business management, 3:9--15, 2011.

Cited By

Orujov FMaskeliūnas RDamaševičius R(2020)FUZIPS: Fuzzy v2 Based Algorithm for Automatic Switching from GPS Based Location Services to the Indoor Positioning ServiceRecent Developments and the New Direction in Soft-Computing Foundations and Applications10.1007/978-3-030-47124-8_30(373-383)Online publication date: 11-Jul-2020
https://doi.org/10.1007/978-3-030-47124-8_30
Takatsuka HTokunaga SSaiki SMatsumoto SNakamura M(2016)KULOCS: unified locating service for efficient development of location-based applicationsInternational Journal of Pervasive Computing and Communications10.1108/IJPCC-01-2016-000412:1(154-172)Online publication date: 4-Apr-2016
https://doi.org/10.1108/IJPCC-01-2016-0004

Index Terms

Integrating heterogeneous locating services for efficient development of location-based services

Recommendations

Considering Common Data Model for Indoor Location-aware Services
LocWeb '14: Proceedings of the 4th International Workshop on Location and the Web

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 ...
Implementation and evaluation of cloud-based integration framework for indoor location
iiWAS '15: Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services

The emerging indoor positioning systems (IPS) enable indoor location-aware applications (InL-App) within indoor space where GPS cannot reach. In most conventional systems, however, IPS and InL-App are tightly coupled, where one system cannot reuse ...
Managing uncertain location with probability by integrating absolute and relative location information
iiWAS '17: Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services

Location information is expressed by various formats that depend on services. Location information is divided into two categories: absolute location information (such as latitude/longitude and address), and relative location information (such as ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

iiWAS '15: Proceedings of the 17th International Conference on Information Integration and Web-based Applications & Services

December 2015

704 pages

ISBN:9781450334914

DOI:10.1145/2837185

General Chair:
Gabriele Anderst-Kotsis
Johannes Kepler University Linz, Austria
,
Program Chair:
Maria Indrawan-Santiago
Monash University, Australia

Copyright © 2015 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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 11 December 2015

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

iiWAS '15

iiWAS '15: The 17th International Conference on Information Integration and Web-based Application & Services

December 11 - 13, 2015

Brussels, Belgium

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

2
Total Citations
View Citations
71
Total Downloads

Downloads (Last 12 months)2
Downloads (Last 6 weeks)0

Reflects downloads up to 03 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Orujov FMaskeliūnas RDamaševičius R(2020)FUZIPS: Fuzzy v2 Based Algorithm for Automatic Switching from GPS Based Location Services to the Indoor Positioning ServiceRecent Developments and the New Direction in Soft-Computing Foundations and Applications10.1007/978-3-030-47124-8_30(373-383)Online publication date: 11-Jul-2020
https://doi.org/10.1007/978-3-030-47124-8_30
Takatsuka HTokunaga SSaiki SMatsumoto SNakamura M(2016)KULOCS: unified locating service for efficient development of location-based applicationsInternational Journal of Pervasive Computing and Communications10.1108/IJPCC-01-2016-000412:1(154-172)Online publication date: 4-Apr-2016
https://doi.org/10.1108/IJPCC-01-2016-0004

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten