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Digital Life

Digital Life

Coordinator: David Sainz, e-mail: dsg (at) tid.es

Involved countries: Spain, Finland

 

Abstract

The purpose of Digital Life is to create a Mobile Social Network that gathers and processes all kinds of information a mobile phone can provide about the user that holds it everyday, combine it and infer (through reasoning techniques) new and valuable knowledge such as social networking activities, behaviour patterns, user habits and preferences, people with similar customs, etc. Digital Life envisions mobile devices as personal companions with the ability of recording data about one person’s life. Digital Life will create an architecture and build a next-generation Mobile Social Network with a proactive behaviour. This architecture can be used to adapt the application and the device to the needs of the user and enrich and structure the content the user creates with semantic metadata. This application will: •Infer information about what a user is currently doing and publish it, mixing data of personality and context. •Create a model of behaviour and preferences. Analyzing the user activities and actions and reasoning over them, patterns of behaviour and tastes can be inferred. This can be used for a wide array of functions, from marketing to city planning or dating. Users can access this behaviour model to know more about themselves. It can also be used for customized marketing.
  • Enrich the content created by the users with inferred meaning.
     
  • Enrich the interaction between people. Users can also have Digital Life analyze aspects in common with others. It could be possible to consult the personality of friends or even receive a list of unknown people with whom I could get along well. User as well can enrich content with the knowledge inferred and context information.
     
  • Adapt the device to the context according to the user’s profile and tastes. Digital Life enables intercommunication between people in a much deeper way than common social networks usually do. It can as well be used to extract valuable information about preferences and conduct of users that authorize their profile publication.