Social tagging as a classification and search strategy

In recent years, tagging systems have become increasingly popular. These systems enable users to add keywords (tags) to Internet resources (e.g. web pages, images, videos) without relying on a controlled vocabulary. Tagging systems have the potential to improve search and personal organization while introducing new modalities of social communication and opportunities for data mining. This potential is largely due to the social structure that underlies many of the current systems. This thesis analyzes these systems. Specifically, the work is organized in two main parts: the first one involves a statistical analysis of tags to infer semantics of tag aggregations and the second one is experimental and devoted to discover some semantic aggregation between resources and tags.

Autorentext

Serena Bonino was born in Cuneo, Italy, in 1983. She received the Master of Science degree in computer science and electrical engineering from the University of Illinois at Chicago in 2007, the Electronic Engineering degree from the Politecnico di Torino in 2007 , where she is currently working toward the Ph.D. degree in metrology.