%0 Book Section %1 insemtives11alt4dl %A Andrews, Pierre %A Pane, Juan %A Zaihrayeu, Ilya %B Lecture Notes on Computer Science), Hot Topic subline %D 2011 %E Bernardi, Raffaella %E Chambers, Sally %E Gottfried, Bjoern %E Segond, Frederique %E Zaihrayeu, Ilya %I Springer %K digitallibrary disambiguation folksonomy preprocessing semanticweb tagsense2012 %T Semantic Disambiguation in Folksonomy: a Case Study %V 6699 %X Social annotation systems such as del.icio.us, Flickr and others have gained tremendous popularity among Web 2.0 users. One of the factors of success was the simplicity of the underlying model, which consists of a resource (e.g., a web page), a tag (e.g., a text string), and a user who annotates the resource with the tag. However, due to the syntactic nature of the underlying model, these systems have been criticised for not being able to take into account the explicit semantics implicitly encoded by the users in each tag. In this article we: a) provide a formalisation of an annotation model in which tags are based on concepts instead of being free text strings; b) describe how an existing annotation system can be converted to the proposed model; c) report on the results of such a conversion on the example of a del.icio.us dataset; and d) show how the quality of search can be improved by the semantic in the converted dataset.

@inbook{insemtives11alt4dl, abstract = { Social annotation systems such as del.icio.us, Flickr and others have gained tremendous popularity among Web 2.0 users. One of the factors of success was the simplicity of the underlying model, which consists of a resource (e.g., a web page), a tag (e.g., a text string), and a user who annotates the resource with the tag. However, due to the syntactic nature of the underlying model, these systems have been criticised for not being able to take into account the explicit semantics implicitly encoded by the users in each tag. In this article we: a) provide a formalisation of an annotation model in which tags are based on concepts instead of being free text strings; b) describe how an existing annotation system can be converted to the proposed model; c) report on the results of such a conversion on the example of a del.icio.us dataset; and d) show how the quality of search can be improved by the semantic in the converted dataset. }, added-at = {2012-04-03T13:50:09.000+0200}, author = {Andrews, Pierre and Pane, Juan and Zaihrayeu, Ilya}, biburl = {https://www.bibsonomy.org/bibtex/2148ce9640fca6377ea281c9c9786afc1/dbenz}, editor = {Bernardi, Raffaella and Chambers, Sally and Gottfried, Bjoern and Segond, Frederique and Zaihrayeu, Ilya}, interhash = {4ccf9d9dd11b12f35dcb2e0c315e88a8}, intrahash = {148ce9640fca6377ea281c9c9786afc1}, keywords = {digitallibrary disambiguation folksonomy preprocessing semanticweb tagsense2012}, publisher = {Springer}, series = {Lecture Notes on Computer Science), Hot Topic subline}, timestamp = {2013-07-31T15:39:42.000+0200}, title = {Semantic Disambiguation in Folksonomy: a Case Study}, volume = 6699, year = 2011 }