Title :
Treelicious: A System for Semantically Navigating Tagged Web Pages
Author :
Mullins, Matt ; Fizzano, Perry
Author_Institution :
Dept. of Comput. Sci., Western Washington Univ., Bellingham, WA, USA
fDate :
Aug. 31 2010-Sept. 3 2010
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.
Keywords :
Web sites; data mining; information retrieval; Treelicious; Wikipedia category structure; co-occurrence data; collaborative tagging; delicious social bookmarking service; hierarchical navigation; keyword search; knowledge discovery; relevant page browsing; tagged Web page semantic navigation; Electronic publishing; Encyclopedias; Internet; Navigation; Semantics; Tagging; Delicious; Wikipedia; collaborative tagging; folksonomy; semantic web; social bookmarking;
Conference_Titel :
Web Intelligence and Intelligent Agent Technology (WI-IAT), 2010 IEEE/WIC/ACM International Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-8482-9
Electronic_ISBN :
978-0-7695-4191-4
DOI :
10.1109/WI-IAT.2010.289