Collecting context data generated by mobile devices

2015

Closed access Metadata (CSL-JSON)
DOI 10.1109/icecco.2015.7416878
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Issues related to a properly collection, management and analysis of data are the very first ones to be solved while working with any data source. Especially, it's true for the data sources, which have a property to grow very rapidly and without any clear structure underneath, and such behavior is very typical for the data generated by mobile devices. Thus, current work suggest an principle architecture design of a mobile software platform whose main goal is to collect, store and provide further access to the mobile context data generated mainly by mobile devices such as smartphones.