Title
Integrating heterogeneous locating services for efficient development of location-based services.
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.
Year
DOI
Venue
2015
10.1145/2837185.2837229
iiWAS
Field
DocType
Citations 
Data integration,Services computing,Data mining,Computer science,Visualization,Location-based service,Namespace,Web service,Unix time,Database,Real-time locating system
Conference
1
PageRank 
References 
Authors
0.39
5
5
Name
Order
Citations
PageRank
Hiroki Takatsuka192.46
Seiki Tokunaga243.59
Sachio Saiki35524.46
Shinsuke Matsumoto420533.53
Masahide Nakamura552672.51