Browse wiki

Jump to: navigation, search
Semantify del.icio.us: Automatically turn your tags into senses
Abstract At present tagging is experimenting a greaAt present tagging is experimenting a great diffusion as the most adopted way to collaboratively classify resources over the Web. In this paper, after a detailed analysis of the attempts made to improve the organization and structure of tagging systems as well as the usefulness of this kind of social data, we propose and evaluate the Tag Disambiguation Algorithm, mining del.icio.us data. It allows to easily semantify the tags of the users of a tagging service: it automatically finds out for each tag the related concept of Wikipedia in order to describe Web resources through senses. On the basis of a set of evaluation tests, we analyze all the advantages of our sense-based way of tagging, proposing new methods to keep the set of users tags more consistent or to classify the tagged resources on the basis of Wikipedia categories, YAGO classes or Wordnet synsets. We discuss also how our semanitified social tagging data are strongly linked to DBPedia and the datasets of the Linked Data community.the datasets of the Linked Data community.
Abstractsub At present tagging is experimenting a greaAt present tagging is experimenting a great diffusion as the most adopted way to collaboratively classify resources over the Web. In this paper, after a detailed analysis of the attempts made to improve the organization and structure of tagging systems as well as the usefulness of this kind of social data, we propose and evaluate the Tag Disambiguation Algorithm, mining del.icio.us data. It allows to easily semantify the tags of the users of a tagging service: it automatically finds out for each tag the related concept of Wikipedia in order to describe Web resources through senses. On the basis of a set of evaluation tests, we analyze all the advantages of our sense-based way of tagging, proposing new methods to keep the set of users tags more consistent or to classify the tagged resources on the basis of Wikipedia categories, YAGO classes or Wordnet synsets. We discuss also how our semanitified social tagging data are strongly linked to DBPedia and the datasets of the Linked Data community.the datasets of the Linked Data community.
Bibtextype inproceedings  +
Has author Maurizio Tesconi + , Francesco Ronzano + , Andrea Marchetti + , Salvatore Minutoli +
Has extra keyword DBpedia + , Evaluation test + , Linked datum + , Social datum + , Social tagging + , Tagging systems + , Web resources + , Wikipedia + , User interfaces +
Issn 16130073  +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Published in CEUR Workshop Proceedings +
Title Semantify del.icio.us: Automatically turn your tags into senses +
Type conference paper  +
Volume 405  +
Year 2008 +
Creation dateThis property is a special property in this wiki. 8 November 2014 05:51:54  +
Categories Publications without keywords parameter  + , Publications without license parameter  + , Publications without DOI parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 8 November 2014 05:51:54  +
DateThis property is a special property in this wiki. 2008  +
hide properties that link here 
Semantify del.icio.us: Automatically turn your tags into senses + Title
 

 

Enter the name of the page to start browsing from.