Title :
A distributed POI data model based on the entity-component approach
Author :
Heikkinen, Arto ; Okkonen, Ari ; Karhu, Antti ; Koskela, Timo
Author_Institution :
Center for Internet Excellence, Univ. of Oulu, Oulu, Finland
Abstract :
Point of interest (POI) information is commonly utilized in different location-based services, which are becoming more popular due to widespread adoption of GPS-enabled smartphones. This paper presents a distributed and modular data model for representing POIs. In addition, RESTful service architecture for accessing the POI data is described. The design of the POI data model is based on the principles of the entity-component model, which allows partitioning the POI data into separate components that are linked to a POI entity. The performance of the POI data model was evaluated in terms of data volume, client-side data parsing time and client-side memory consumption using a mobile web application. The POI data model was also compared with an existing POI implementation. Based on the measurements, the ability to select only relevant data components was found very important feature for achieving good client-side performance.
Keywords :
Internet; mobile computing; GPS-enabled smartphones; RESTful service architecture; client-side data parsing time; client-side memory consumption; distributed POI data model; entity-component approach; location-based services; mobile Web application; modular data model; point of interest information; Browsers; Data models; Distributed databases; Memory management; Mobile communication; Three-dimensional displays; gis; location-based service; mobile web; point of interest; sensor data; service architecture; xml3d;
Conference_Titel :
Computers and Communication (ISCC), 2014 IEEE Symposium on
Conference_Location :
Funchal
DOI :
10.1109/ISCC.2014.6912570