Enhancing Navigation on Wikipedia with Social Tags
|Presenter||Arkaitz Zubiaga (Universidad Nacional de Educación a Distancia)|
|Themes||Academic, Technology, Content|
|About the presenter|
|Arkaitz Zubiaga is a PhD student at the Languages and Computing Systems Department of the National University of Distance Education (UNED), and member of the Natural Language Processing and Information Retrieval Group at UNED.|
Social tagging has become an interesting approach to improve search and navigation over the actual Web, since it aggregates the tags added by different users to the same resource in a collaborative way. This way, it results in a list of weighted tags describing its resource. Combined to a classical taxonomic classification system such as that by Wikipedia, social tags can enhance document navigation and search. On the one hand, social tags suggest alternative navigation ways, including pivot-browsing, popularity-driven navigation, and filtering. On the other hand, it provides new metadata, sometimes uncovered by the documents' content, that can substantially improve document search. In this work, the inclusion of an interface to add user-defined tags describing Wikipedia articles is proposed, as a way to improve article navigation and retrieval.