Identifying Individuals using Identity Features and Social Information
نویسنده
چکیده
This paper presents an approach for the disambiguation of individuals using the semantics of identity and social circles. Identity information is extracted and integrated to provide a presentation of existing identity information currently on the web relating to a given individual. Communities are used to discover identity resources, share them socially, and critique the resources based on the accuracy and volume of their content. As motivation for this research issues concerning identity theft, online fraud and cyber stalking are considered, where the growth of the social web has contributed to the rise in such practices. Monitoring identity on the web would go some way to addressing these issues.
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