Collaborative tagging has emerged as a popular and effective method for organizing and describing pages on the Web. We present Treelicious, a system that allows hierarchical navigation of tagged web pages. Our system enriches the navigational capabilities of standard tagging systems, which typically exploit only popularity and co-occurrence data. We describe a prototype that leverages the Wikipedia category structure to allow a user to semantically navigate pages from the Delicious social bookmarking service. In our system a user can perform an ordinary keyword search and browse relevant pages but is also given the ability to broaden the search to more general topics and narrow it to more specific topics. We show that Treelicious indeed provides an intuitive framework that allows for improved and effective discovery of knowledge.
Instead of generating a hierarchy from the tags themselves, @cite_6 impose hierarchy on a set of tags using the WordNet http: wordnet.princeton.edu lexical database. In their system, when a tag is used to perform a search on Delicious, they gather a sample of tags that have been applied to each of the result pages into one big set of tags. They then pipe these tags through a module that utilizes hypernym and hyponym hierarchy information present in WordNet to build a semantic tree of tags related to the search tag. They also prune out WordNet nodes that don't appear in the tag set to compress their tree. Because of this, their hierarchy is bounded by the search tag. Though their results are nicely hierarchical, they lack a sense of completeness having only been seeded by the co-occurring tags in the local results. There are also problems with the mapping from Delicious tags to WordNet words due to the difference in the level of formality of language (e.g. nyc versus New York City) and the prevalence of recently introduced terminology in Delicious (e.g. AJAX, Obama, Harry Potter).
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As the volume of information in the read-write Web increases rapidly, folksonomies are becoming a widely used tool to organize and categorize resources in a bottom up, flat and inclusive way. However, due to their very structure, they show some drawbacks; in particular the lack of hierarchy bears some limitations in the possibilities of searching and browsing. In this paper we investigate a new approach, based on the idea of integrating an ontology in the navigation interface of a folksonomy, and we describe an application that filters del.icio.us keywords through the WordNet hierarchy of concepts, to enrich the possibilities of navigation.