document: P-TAG : large scale automatic generation of personalized annotation tags for the web The success of the Semantic Web depends on the availability of Web pages annotated with metadata . Free form metadata or tags , as used in social bookmarking and folksonomies , have become more and more popular and successful . Such tags are relevant keywords associated with or assigned to a piece of information ( e.g. , a Web page ) , describing the item and enabling keyword-based classification . In this paper we propose P-TAG , a method which automatically generates personalized tags for Web pages . Upon browsing a Web page , P-TAG produces keywords relevant both to its textual content , but also to the data residing on the surfer 's Desktop , thus expressing a personalized viewpoint . Empirical evaluations with several algorithms pursuing this approach showed very promising results . We are therefore very confident that such a user oriented automatic tagging approach can provide large scale personalized metadata annotations as an important step towards realizing the Semantic Web .
doc_bio_tags: O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O O