BibSonomy publications for /author/RonzanoFri Nov 11 00:00:00 CET 2011CIKMconf/cikm/20112533-2536Editing knowledge resources: the wiki way.2011dblp Thu Feb 17 17:43:19 CET 2011Proceedings of the Workshop Social Data on the Web (SDoW2008)CEUR-WS.org/Vol-405Semantify del.icio.us: Automatically Turn your Tags into Senses2008disambiguation ol_web2.0 ontology_learning tag_concept_mapping taggingsurvey toread toread_dbe At 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. 1Tue Dec 14 16:06:41 CET 2010SWKMCEUR Workshop ProceedingsTagpedia: a Semantic Reference to Describe and Search for Web Resources3562008disambiguation tagging tagpedia Tue Dec 14 15:15:18 CET 2010CEUR-WS.org/Vol-405Semantify del.icio.us: Automatically Turn your Tags into Senses2008dbpedia disambiguation tagging tagpedia At 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. Mon Oct 18 17:40:56 CEST 2010SWAPconf/swap/2006CEUR Workshop ProceedingsToward an Architecture for the Global Wordnet Initiative.2012006architecture global wordnet Mon Oct 18 17:40:56 CEST 2010SWKMDBLP:conf/www/2008swkmTagpedia: a Semantic Reference to Describe and Search for Web Resources2008imported Mon Oct 18 17:40:56 CEST 2010Banff, CanadaProc. WWW 2007 Workshop on Tagging and Metadata for Social Information OrganizationMaySemKey: A Semantic Collaborative Tagging System 2007collaborative folksonomy ontology semantic system tagging Mon Oct 18 17:40:56 CEST 2010Web Forms - Oltre l'HTML2005imported Mon Oct 18 17:40:56 CEST 20101st Social Data on the Web workshop (SDoW2008)Semantify del.icio.us: automatically turn your tags into senses.2008imported Mon Oct 18 17:40:56 CEST 2010Semantic Web gets into collaborative tagging2007imported Thu Jun 03 13:47:15 CEST 2010CEUR-WS.org/Vol-405Semantify del.icio.us: Automatically Turn your Tags into Senses2008datamining delicious semantic tagging At 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. Thu Jun 03 11:23:55 CEST 2010CEUR-WS.org/Vol-405Semantify del.icio.us: Automatically Turn your Tags into Senses2008disambiguation master tags toVerify wordnet At 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. Mon Oct 12 09:54:11 CEST 2009CEUR-WS.org/Vol-405Semantify del.icio.us: Automatically Turn your Tags into Senses2008analysis disambiguation social tagging At 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. Mon Oct 05 11:32:25 CEST 2009SWKMconf/www/2008swkmCEUR Workshop ProceedingsTagpedia: a Semantic Reference to Describe and Search for Web Resources.3562008reference search semantic web Nowadays the Web represents a growing collection of anenormous amount of contents where the need for betterways to find and organize the available data is becominga fundamental issue, in order to deal with information over-load. Keyword based Web searches are actually the pre-ferred mean to seek for contents related to a specific topic.Search engines and collaborative tagging systems make pos-sible the search for information thanks to the association ofdescriptive keywords to Web resources. All of them showproblems of inconsistency and consequent reduction of re-call and precision of searches, due to polysemy, synonymyand in general all the different lexical forms that can be usedto refer to a particular meaning. A possible way to face orat least reduce these problems is represented by the intro-duction of semantics to characterize the contents of Web re-sources: each resource is described by one or more conceptsinstead of simple and often ambiguous keywords. To supportthese task the availability of a global semantic resource ofreference is fundamental. On the basis of our past experiencewith the semantic tagging of Web resources and the SemKeyProject, we are developing Tagpedia, a general-domain ”en-cyclopedia” of tags, semantically structured for generatingsemantic descriptions of contents over the Web, created bymining Wikipedia. In this paper, starting from an analy-sis of the weak points of non-semantic keyword based Websearches, we introduce our idea of semantic characterizationof Web resources describing the structure and organizationof Tagpedia. We introduce our first realization of Tagpedia,suggesting all the possible improvements that can be carriedout in order to exploit its full potentialFri Oct 02 13:59:34 CEST 2009CEUR-WS.org/Vol-405Semantify del.icio.us: Automatically Turn your Tags into Senses2008delicious semantics At 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. Fri Oct 02 08:58:18 CEST 2009CEUR-WS.org/Vol-405Semantify del.icio.us: Automatically Turn your Tags into Senses2008analysis disambiguation social tagging taggingsurvey toread At 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. Tue Sep 29 14:01:19 CEST 2009CEUR-WS.org/Vol-405Semantify del.icio.us: Automatically Turn your Tags into Senses2008delicious semantic sense-based sense-rank tagging At 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. Sun Sep 27 14:39:55 CEST 2009CEUR-WS.org/Vol-405Semantify del.icio.us: Automatically Turn your Tags into Senses2008semantic tagging At 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. Sun Sep 27 14:38:07 CEST 2009SWKMconf/www/2008swkmCEUR Workshop ProceedingsTagpedia: a Semantic Reference to Describe and Search for Web Resources.3562008dblp Nowadays the Web represents a growing collection of anenormous amount of contents where the need for betterways to find and organize the available data is becominga fundamental issue, in order to deal with information over-load. Keyword based Web searches are actually the pre-ferred mean to seek for contents related to a specific topic.Search engines and collaborative tagging systems make pos-sible the search for information thanks to the association ofdescriptive keywords to Web resources. All of them showproblems of inconsistency and consequent reduction of re-call and precision of searches, due to polysemy, synonymyand in general all the different lexical forms that can be usedto refer to a particular meaning. A possible way to face orat least reduce these problems is represented by the intro-duction of semantics to characterize the contents of Web re-sources: each resource is described by one or more conceptsinstead of simple and often ambiguous keywords. To supportthese task the availability of a global semantic resource ofreference is fundamental. On the basis of our past experiencewith the semantic tagging of Web resources and the SemKeyProject, we are developing Tagpedia, a general-domain ”en-cyclopedia” of tags, semantically structured for generatingsemantic descriptions of contents over the Web, created bymining Wikipedia. In this paper, starting from an analy-sis of the weak points of non-semantic keyword based Websearches, we introduce our idea of semantic characterizationof Web resources describing the structure and organizationof Tagpedia. We introduce our first realization of Tagpedia,suggesting all the possible improvements that can be carriedout in order to exploit its full potentialMon Mar 16 11:46:28 CET 2009Proceedings of the First Social Data on the Web Workshop (SDoW2008)CEUR-WS.org/Vol-405Semantify del.icio.us: Automatically Turn your Tags into Senses2008MOAT Linkingopendata