An Unsupervised Approach for the Emergence of Ontologies from Personomies in Tagging-Based Systems

Tagging-based systems are becoming a widely used tool as they are considered simple and quick to categorize resources. However, due to the free vocabulary used for tagging, and also because of its plane structure, there are some drawbacks inherent to this kind of system, mainly when users do the information retrieval. This paper presents a proposal for the emergence of ontologies from tagging-based systems, seeking to reduce information overload, thus minimizing the cognitive effort of users when processing information retrieval.