Paper Info
Title
Considering Common Data Model for Indoor Location-aware Services
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.
Year
DOI
Venue
2014
10.1145/2663713.2664423
LocWeb
Keywords
Field
DocType
indoor location query service,web-based services,indoor positioning system,location-aware service,data models,api,location information,data modeling,data sharing
Data modeling,Computer vision,Hybrid positioning system,Reuse,Computer science,Database schema,Artificial intelligence,Location aware,Data model,Indoor positioning system,Reusability,Distributed computing
Conference
Citations 
PageRank 
References 
3
0.43
4
Authors
4
Name
Order
Citations
PageRank
Long Niu140.87
Shinsuke Matsumoto220533.53
Sachio Saiki35524.46
Masahide Nakamura452672.51