Treelicious: a System for Semantically Navigating Tagged Web Pages
Matt Mullins, Perry Fizzano

TL;DR
Treelicious is a system that enhances web page navigation by integrating hierarchical semantic structures from Wikipedia with social bookmarking data, improving knowledge discovery.
Contribution
It introduces a novel system combining Wikipedia categories with social bookmarking for hierarchical navigation of tagged web pages.
Findings
Enables semantic browsing of tagged pages
Improves knowledge discovery through hierarchical navigation
Integrates Wikipedia categories with social bookmarking data
Abstract
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.
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Taxonomy
TopicsWikis in Education and Collaboration · Semantic Web and Ontologies · Web Data Mining and Analysis
