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- paper-68 type InProceedings.
- paper-68 label "Semantic Enrichment of Mobile Phone Data Records Using Linked Open Data".
- paper-68 sameAs paper-68.
- paper-68 abstract "The pervasivity of mobile phones opens an unprecedented opportunityof deepening into the human dynamics through the analysis of the data they generate.This enables a novel human-driven approach to service creation in a wideset of domains such as health-care, transportation and urban safety. The telecomoperators own and manage billions of mobile network events (like the Call DetailedRecords - CDR) per day: the interpretation of such a big stream of dataneeds a deep understanding of the context where the events have occurred. Theexploitation of available background knowledge is a key element in this scenario.In this paper we introduce a novel method for the semantic interpretation of humanbehavior in mobility based on the merge of the mobile network data streamand the geo-referred available background knowledge. We modeled the humanbehavior making use of the geo and time-referenced knowledge available on theweb (e.g., geo-tagged resources, info on weather forecast, social events, etc.)matching it with the mobile network coverage map. The model is intended tocharacterize the contexts where the mobile network events occur in order to helpin interpreting the behavioral traits that generated by them. This will allow us toachieve a set of predictive tasks such as the prediction of human activities in certain contextual conditions (e.g., when an accident occurs on highway before theworking time starts, etc.), or the characterization of exceptional events detectedfrom anomalies in mobile network data.We created an ontological and stochastic high-level representation behavioralmodel (HRBModel) that maps the human activities to the different contexts.Given the mobile phone network and the geo-tagged resource Openstreetmap,the model is used to rank the activities associated to a particular network event(e.g. a sudden call amount peak) according to their probability. We also describethe design of an experimental evaluation and the preliminary evaluation resultsto measure the performance of the model and to improve the activity predictiontask.".
- paper-68 hasAuthorList authorList.
- paper-68 isPartOf poster-demo-proceedings.
- paper-68 title "Semantic Enrichment of Mobile Phone Data Records Using Linked Open Data".