Semantic enrichment of mobile phone data records using linked open data

Zolzaya Dashdorj · Luciano Serafini

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Human Mobility and Location-Based Analysis Semantic Web and Ontologies Data Management and Algorithms

Abstract

Users of mobile (smart) phones, generate an enormous amount of data every day. Most of them are not accessible due to privacy reason, but anonimized metadata, such as for instance, the location, the time and the duration of the interaction with the smartphone are nowadays available for analysis. We address these data as “Call Data Records”

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References

2008Understanding individual human mobility patterns 2005Reality mining: sensing complex social systems 2008Uncovering individual and collective human dynamics from mobile phone records 2010Redrawing the Map of Great Britain from a Network of Human Interactions 2011Collective Response of Human Populations to Large-Scale Emergencies 2010Activity-Aware Map: Identifying Human Daily Activity Pattern Using Mobile Phone Data 2010The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events 2012Identifying users profiles from mobile calls habits

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