PhD thesis
Formal Concept Analysis and Tag Recommendations in Collaborative Tagging Systems

Publication Details
Jäschke, R.
Akademische Verlagsgesellschaft AKA
Publication year:
Title of series:
Dissertationen zur Künstlichen Intelligenz


One of the most noticeable innovation that emerged with the advent of the Web 2.0 and the focal point of this thesis are collaborative tagging systems. They allow users to annotate arbitrary resources with freely chosen keywords, so called tags. The tags are used for navigation, finding resources, and serendipitous browsing and thus provide an immediate benefit for the user. By now, several systems for tagging photos, web links, publication references, videos, etc. have attracted millions of users which in turn annotated countless resources. Tagging gained so much popularity that it spread into other applications like web browsers, software packet managers, and even file systems. Therefore, the relevance of the methods presented in this thesis goes beyond the Web 2.0.The conceptual structure underlying collaborative tagging systems is called folksonomy. It can be represented as a tripartite hypergraph with user, tag, and resource nodes. Each edge of the graph expresses the fact that a user annotated a resour

analysis, collaborative, concept, diss, fca, folksonomy, formal, recommender, tag, tagging

Last updated on 2019-25-07 at 11:01

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