Folksonomies contain semantic information on data, and represent a meaningful mean for identifying similarities among users, resources and tags. Their strong potential is often reduced by the lack in social tagging systems of specialized functionalities for managing and modifying them, and of specific tools for generating customized and dynamic views on them. The aim of this paper is to present Folkview, an innovative way to conceive a folksonomy in terms of a multi-agent system. Each element (tag, user, resource) become an active entity and the folksonomy transforms itself from a traditional passive container of data into a computational agent, provided of a set of procedural and distributed skills. The agents actively collaborate in order to generate dynamic and customized views and supporting users in the updating, managing and modifying her personomy, and the same folksonomy.
Folkview: a Multi-Agent System Approach to Modeling Folksonomies.
DATTOLO, Antonina;PITASSI, Emanuela
2012-01-01
Abstract
Folksonomies contain semantic information on data, and represent a meaningful mean for identifying similarities among users, resources and tags. Their strong potential is often reduced by the lack in social tagging systems of specialized functionalities for managing and modifying them, and of specific tools for generating customized and dynamic views on them. The aim of this paper is to present Folkview, an innovative way to conceive a folksonomy in terms of a multi-agent system. Each element (tag, user, resource) become an active entity and the folksonomy transforms itself from a traditional passive container of data into a computational agent, provided of a set of procedural and distributed skills. The agents actively collaborate in order to generate dynamic and customized views and supporting users in the updating, managing and modifying her personomy, and the same folksonomy.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
