FCA-based approach for mining contextualized folksonomy

Abstract

We present a novel approach to build the contextualized folksonomy and concept hieracrhies from tags of blogosphere based on Formal Concept Analysis. Our approach is based on the assumption that if a blog has the relationships with others, they would use the similar set of tags. We collect the sample data from blogosphere randomly and then build the concept hierarchies on the basis of the inclusion relations(tags) between the extensions(bloggers). We propose the formalization of the contextualized folksonomy in terms of Formal Concept Analysis and show how our approach can be used to create the contextualized folksonmy for blogosphere. We evaluate our approach by considering an already existing tags of blogosphere.

Mining and Representing User Interests: The Case of Tagging Practices

“…FCA has been applied to a wide range of disciplines, including software engineering, psychology, artificial intelligence, and linguistics [33]. In computer science, various FCA efforts have been performed in many fields such as information retrieval [18], [40], social network analysis [12], [21], [36], and knowledge representation and conceptual graphs [39].…”