Optimal Fingerprint Data Filtering Model for Location Based Services

Modelling Geo Data for Location-based Services

Data Store Issues for Location-Based Services

Location-based services (LBS) provide resources or information based on the user’s own location or an indicated location of interest. This paper introduces a number of data store and access requirements for LBS based on examples from our own work and that of others in the field. We consider specifically the areas of location representation, gathering location data, assets, location-based querie...

Context-aware Collaborative Filtering in Location Based Services

Technical advances in mobile devices and mobile communication have led to the introduction of Location Based Services (LBS). Currently, providing context-aware services/information is still a key challenge in LBS applications. Collaborative filtering (CF), known as Amazon-like recommendation, is a promising solution for providing context-aware recommendations. The goal of this report is to inve...

A Two-Stage Fingerprint Filtering Approach for Wi-Fi RSS-Based Location Matching

This paper presents a two-stage fingerprint filtering (FF) approach for the received signal strength (RSS) based location matching in Wi-Fi area. With the popularity of ubiquitous computing and location-based services in a recent decade, the Wi-Fi RSS-based location matching has been one of the most widely recognized method to locate users’ positions due to its low cost of deployment and mainte...

Data Semantics in Location-Based Services

Abstract. As location-based applications become part of our everyday life, ranging from traffic prediction systems to services over mobile phones providing us with information about our surroundings, the call for more semantics and accurate services is emerging. In this work, we analyze and register the data semantics of Location-based Services (LBS). Initially, we categorize LBS data according...