@inproceedings{conf/cikm/RonzanoMT11, added-at = {2011-11-11T00:00:00.000+0100}, author = {Ronzano, Francesco and Marchetti, Andrea and Tesconi, Maurizio}, biburl = {http://www.bibsonomy.org/bibtex/2466581ebdaf710db820ed20411e2069f/dblp}, booktitle = {CIKM}, crossref = {conf/cikm/2011}, editor = {Macdonald, Craig and Ounis, Iadh and Ruthven, Ian}, ee = {http://doi.acm.org/10.1145/2063576.2064011}, interhash = {87c56fda89ad07977adcd9263c071204}, intrahash = {466581ebdaf710db820ed20411e2069f}, isbn = {978-1-4503-0717-8}, keywords = {dblp}, pages = {2533-2536}, publisher = {ACM}, title = {Editing knowledge resources: the wiki way.}, url = {http://dblp.uni-trier.de/db/conf/cikm/cikm2011.html#RonzanoMT11}, year = 2011 } @inproceedings{tesconi2008semantify, abstract = {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. 1}, added-at = {2011-02-17T17:43:19.000+0100}, author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli, Salvatore}, biburl = {http://www.bibsonomy.org/bibtex/2dd698b5ee4d93496d11627cbe1615514/dbenz}, booktitle = {Proceedings of the Workshop Social Data on the Web (SDoW2008)}, crossref = {CEUR-WS.org/Vol-405}, description = {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.}, file = {tesconi2008semantify.pdf:tesconi2008semantify.pdf:PDF}, groups = {public}, interhash = {0c1c96b41a0af8512c20a7d41504640f}, intrahash = {dd698b5ee4d93496d11627cbe1615514}, keywords = {disambiguation ol_web2.0 ontology_learning tag_concept_mapping taggingsurvey toread toread_dbe}, timestamp = {2009-09-27 15:57:13}, title = {Semantify del.icio.us: Automatically Turn your Tags into Senses}, url = {http://CEUR-WS.org/Vol-405/paper8.pdf}, username = {dbenz}, year = 2008 } @inproceedings{conf/www/RonzanoMT08, added-at = {2010-12-14T16:06:41.000+0100}, author = {Ronzano, Francesco and Marchetti, Andrea and Tesconi, Maurizio}, bibdate = {2008-06-18}, bibsource = {DBLP, http://dblp.uni-trier.de/db/conf/www/swkm2008.html#RonzanoMT08}, biburl = {http://www.bibsonomy.org/bibtex/29fda788ff7de96d618d4eccfa791a0df/sirko}, booktitle = {SWKM}, editor = {Dolog, Peter and Kr{\"o}tzsch, Markus and Schaffert, Sebastian and Vrandecic, Denny}, interhash = {6a2e3c768136e57b7f2ed702a3a81834}, intrahash = {9fda788ff7de96d618d4eccfa791a0df}, keywords = {disambiguation tagging tagpedia}, publisher = {CEUR-WS.org}, series = {CEUR Workshop Proceedings}, title = {Tagpedia: a Semantic Reference to Describe and Search for Web Resources}, url = {http://ceur-ws.org/Vol-356/paper3.pdf}, volume = 356, year = 2008 } @inproceedings{taggingsem08, abstract = {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. }, added-at = {2010-12-14T15:15:18.000+0100}, author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli, Salvatore}, biburl = {http://www.bibsonomy.org/bibtex/2348a962fe13e0b605ffc53d592464c24/sirko}, crossref = {CEUR-WS.org/Vol-405}, description = {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.}, interhash = {0c1c96b41a0af8512c20a7d41504640f}, intrahash = {348a962fe13e0b605ffc53d592464c24}, keywords = {dbpedia disambiguation tagging tagpedia}, title = {Semantify del.icio.us: Automatically Turn your Tags into Senses}, url = {http://CEUR-WS.org/Vol-405/paper8.pdf}, year = 2008 } @inproceedings{conf/swap/MarchettiTRRB06, added-at = {2010-10-18T17:40:56.000+0200}, author = {Marchetti, Andrea and Tesconi, Maurizio and Ronzano, Francesco and Rosella, Marco and Bertagna, Francesca}, biburl = {http://www.bibsonomy.org/bibtex/285ff9a58ccec13de040699b908f33684/myself2048}, booktitle = {SWAP}, crossref = {conf/swap/2006}, editor = {Tummarello, Giovanni and Bouquet, Paolo and Signore, Oreste}, ee = {http://www.ceur-ws.org/Vol-201/35.pdf}, interhash = {70c8ecd24025ee1aae67033e307fe004}, intrahash = {85ff9a58ccec13de040699b908f33684}, keywords = {architecture global wordnet}, publisher = {CEUR-WS.org}, series = {CEUR Workshop Proceedings}, title = {Toward an Architecture for the Global Wordnet Initiative.}, url = {http://dblp.uni-trier.de/db/conf/swap/swap2006.html#MarchettiTRRB06}, volume = 201, year = 2006 } @inproceedings{DBLP:conf/www/RonzanoMT08, added-at = {2010-10-18T17:40:56.000+0200}, author = {Ronzano, Francesco and Marchetti, Andrea and Tesconi, Maurizio}, bibsource = {DBLP, http://dblp.uni-trier.de}, biburl = {http://www.bibsonomy.org/bibtex/2a1980644dec1dbad9aab614779b321b9/myself2048}, booktitle = {SWKM}, crossref = {DBLP:conf/www/2008swkm}, ee = {http://ceur-ws.org/Vol-356/paper3.pdf}, interhash = {6a2e3c768136e57b7f2ed702a3a81834}, intrahash = {a1980644dec1dbad9aab614779b321b9}, keywords = {imported}, title = {Tagpedia: a Semantic Reference to Describe and Search for Web Resources}, year = 2008 } @inproceedings{Marchetti2007, added-at = {2010-10-18T17:40:56.000+0200}, address = {Banff, Canada}, author = {Marchetti, Andrea and Tesconi, Maurizio and Ronzano, Francesco and Rosella, Marco and Minutoli, Salvatore}, biburl = {http://www.bibsonomy.org/bibtex/2db794dcfb41cae7a5147a8234f7ea2eb/myself2048}, booktitle = {Proc. WWW 2007 Workshop on Tagging and Metadata for Social Information Organization}, interhash = {2d14c0e69c87a3b1ca8898f047969b04}, intrahash = {db794dcfb41cae7a5147a8234f7ea2eb}, keywords = {collaborative folksonomy ontology semantic system tagging}, month = May, title = {SemKey: A Semantic Collaborative Tagging System }, url = {http://www2007.org/workshops/paper_45.pdf}, year = 2007 } @techreport{Tesconi2005a, added-at = {2010-10-18T17:40:56.000+0200}, author = {Tesconi, M. and Marchetti, A. and Ronzano, F. and Minutoli, S.}, biburl = {http://www.bibsonomy.org/bibtex/2e6b56960035fd9b8183e53ed58d0410e/myself2048}, institution = {Technical report IIT TR-09/2005}, interhash = {c192c05e0f241ae2fb640238a99e5962}, intrahash = {e6b56960035fd9b8183e53ed58d0410e}, keywords = {imported}, owner = {Maurizio}, timestamp = {2008.09.08}, title = {Web Forms - Oltre l'HTML}, year = 2005 } @inproceedings{Tesconi2008, added-at = {2010-10-18T17:40:56.000+0200}, author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli., Salvatore}, biburl = {http://www.bibsonomy.org/bibtex/2d3a1b2f25dd6e59ae2758d4980c42654/myself2048}, booktitle = {1st Social Data on the Web workshop (SDoW2008)}, interhash = {9f32c5d90ccace1e17e6ae1711092483}, intrahash = {d3a1b2f25dd6e59ae2758d4980c42654}, keywords = {imported}, owner = {Maurizio}, timestamp = {2008.09.08}, title = {Semantify del.icio.us: automatically turn your tags into senses.}, year = 2008 } @techreport{Tesconi2007a, added-at = {2010-10-18T17:40:56.000+0200}, author = {Tesconi, M. and Ronzano, F. and Minutoli, S. and Marchetti, A. and Rosella, M.}, biburl = {http://www.bibsonomy.org/bibtex/2a08e3a903212ad57be70470529e1a1c0/myself2048}, institution = {Technical report IIT TR-06/2007}, interhash = {3827c91509e162003741be5d982ca96e}, intrahash = {a08e3a903212ad57be70470529e1a1c0}, keywords = {imported}, owner = {Maurizio}, timestamp = {2008.09.08}, title = {Semantic Web gets into collaborative tagging}, year = 2007 } @inproceedings{taggingsem08, abstract = {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. }, added-at = {2010-06-03T13:47:15.000+0200}, author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli, Salvatore}, biburl = {http://www.bibsonomy.org/bibtex/2348a962fe13e0b605ffc53d592464c24/maxirichter}, crossref = {CEUR-WS.org/Vol-405}, description = {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.}, interhash = {0c1c96b41a0af8512c20a7d41504640f}, intrahash = {348a962fe13e0b605ffc53d592464c24}, keywords = {datamining delicious semantic tagging}, title = {Semantify del.icio.us: Automatically Turn your Tags into Senses}, url = {http://CEUR-WS.org/Vol-405/paper8.pdf}, year = 2008 } @inproceedings{taggingsem08, abstract = {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. }, added-at = {2010-06-03T11:23:55.000+0200}, author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli, Salvatore}, biburl = {http://www.bibsonomy.org/bibtex/2348a962fe13e0b605ffc53d592464c24/ans}, crossref = {CEUR-WS.org/Vol-405}, description = {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.}, interhash = {0c1c96b41a0af8512c20a7d41504640f}, intrahash = {348a962fe13e0b605ffc53d592464c24}, keywords = {disambiguation master tags toVerify wordnet}, title = {Semantify del.icio.us: Automatically Turn your Tags into Senses}, url = {http://CEUR-WS.org/Vol-405/paper8.pdf}, year = 2008 } @inproceedings{taggingsem08, abstract = {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. }, added-at = {2009-10-12T09:54:11.000+0200}, author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli, Salvatore}, biburl = {http://www.bibsonomy.org/bibtex/2348a962fe13e0b605ffc53d592464c24/praveen}, crossref = {CEUR-WS.org/Vol-405}, description = {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.}, interhash = {0c1c96b41a0af8512c20a7d41504640f}, intrahash = {348a962fe13e0b605ffc53d592464c24}, keywords = {analysis disambiguation social tagging}, title = {Semantify del.icio.us: Automatically Turn your Tags into Senses}, url = {http://CEUR-WS.org/Vol-405/paper8.pdf}, year = 2008 } @inproceedings{conf/www/RonzanoMT08, abstract = {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 potential}, added-at = {2009-10-05T11:32:25.000+0200}, author = {Ronzano, Francesco and Marchetti, Andrea and Tesconi, Maurizio}, biburl = {http://www.bibsonomy.org/bibtex/2f427897695bde3c559409d0efcfceab0/kasimiro}, booktitle = {SWKM}, crossref = {conf/www/2008swkm}, date = {2008-06-18}, editor = {Dolog, Peter and Krötzsch, Markus and Schaffert, Sebastian and Vrandecic, Denny}, ee = {http://ceur-ws.org/Vol-356/paper3.pdf}, interhash = {6a2e3c768136e57b7f2ed702a3a81834}, intrahash = {f427897695bde3c559409d0efcfceab0}, keywords = {reference search semantic web}, publisher = {CEUR-WS.org}, series = {CEUR Workshop Proceedings}, title = {Tagpedia: a Semantic Reference to Describe and Search for Web Resources.}, url = {http://dblp.uni-trier.de/db/conf/www/swkm2008.html#RonzanoMT08}, volume = 356, year = 2008 } @inproceedings{taggingsem08, abstract = {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. }, added-at = {2009-10-02T13:59:34.000+0200}, author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli, Salvatore}, biburl = {http://www.bibsonomy.org/bibtex/2348a962fe13e0b605ffc53d592464c24/chriskoerner}, crossref = {CEUR-WS.org/Vol-405}, description = {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.}, interhash = {0c1c96b41a0af8512c20a7d41504640f}, intrahash = {348a962fe13e0b605ffc53d592464c24}, keywords = {delicious semantics}, title = {Semantify del.icio.us: Automatically Turn your Tags into Senses}, url = {http://CEUR-WS.org/Vol-405/paper8.pdf}, year = 2008 } @inproceedings{taggingsem08, abstract = {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. }, added-at = {2009-10-02T08:58:18.000+0200}, author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli, Salvatore}, biburl = {http://www.bibsonomy.org/bibtex/2348a962fe13e0b605ffc53d592464c24/hotho}, crossref = {CEUR-WS.org/Vol-405}, description = {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.}, interhash = {0c1c96b41a0af8512c20a7d41504640f}, intrahash = {348a962fe13e0b605ffc53d592464c24}, keywords = {analysis disambiguation social tagging taggingsurvey toread}, title = {Semantify del.icio.us: Automatically Turn your Tags into Senses}, url = {http://CEUR-WS.org/Vol-405/paper8.pdf}, year = 2008 } @inproceedings{taggingsem08, abstract = {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. }, added-at = {2009-09-29T14:01:19.000+0200}, author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli, Salvatore}, biburl = {http://www.bibsonomy.org/bibtex/2348a962fe13e0b605ffc53d592464c24/kasimiro}, crossref = {CEUR-WS.org/Vol-405}, description = {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.}, interhash = {0c1c96b41a0af8512c20a7d41504640f}, intrahash = {348a962fe13e0b605ffc53d592464c24}, keywords = {delicious semantic sense-based sense-rank tagging}, title = {Semantify del.icio.us: Automatically Turn your Tags into Senses}, url = {http://CEUR-WS.org/Vol-405/paper8.pdf}, year = 2008 } @inproceedings{taggingsem08, abstract = {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. }, added-at = {2009-09-27T14:39:55.000+0200}, author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli, Salvatore}, biburl = {http://www.bibsonomy.org/bibtex/2348a962fe13e0b605ffc53d592464c24/arminhs}, crossref = {CEUR-WS.org/Vol-405}, description = {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.}, interhash = {0c1c96b41a0af8512c20a7d41504640f}, intrahash = {348a962fe13e0b605ffc53d592464c24}, keywords = {semantic tagging}, title = {Semantify del.icio.us: Automatically Turn your Tags into Senses}, url = {http://CEUR-WS.org/Vol-405/paper8.pdf}, year = 2008 } @inproceedings{conf/www/RonzanoMT08, abstract = {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 potential}, added-at = {2009-09-27T14:38:07.000+0200}, author = {Ronzano, Francesco and Marchetti, Andrea and Tesconi, Maurizio}, biburl = {http://www.bibsonomy.org/bibtex/2f427897695bde3c559409d0efcfceab0/arminhs}, booktitle = {SWKM}, crossref = {conf/www/2008swkm}, date = {2008-06-18}, description = {dblp}, editor = {Dolog, Peter and Krötzsch, Markus and Schaffert, Sebastian and Vrandecic, Denny}, ee = {http://ceur-ws.org/Vol-356/paper3.pdf}, interhash = {6a2e3c768136e57b7f2ed702a3a81834}, intrahash = {f427897695bde3c559409d0efcfceab0}, keywords = {dblp}, publisher = {CEUR-WS.org}, series = {CEUR Workshop Proceedings}, title = {Tagpedia: a Semantic Reference to Describe and Search for Web Resources.}, url = {http://dblp.uni-trier.de/db/conf/www/swkm2008.html#RonzanoMT08}, volume = 356, year = 2008 } @inproceedings{Tesconi2008, added-at = {2009-03-16T11:46:28.000+0100}, author = {Tesconi, Maurizio and Ronzano, Francesco and Marchetti, Andrea and Minutoli, Salvatore}, biburl = {http://www.bibsonomy.org/bibtex/2dba1bb75c430dd473187d27b5ed2ff85/matip}, booktitle = {Proceedings of the First Social Data on the Web Workshop (SDoW2008)}, crossref = {CEUR-WS.org/Vol-405}, file = {:\\\\Dafis\\users\\till\\JabRefDB\\Paper\\Semantify del.icio.us - automatically turn your tags into senses.pdf:PDF}, interhash = {0c1c96b41a0af8512c20a7d41504640f}, intrahash = {dba1bb75c430dd473187d27b5ed2ff85}, keywords = {MOAT Linkingopendata}, title = {Semantify del.icio.us: Automatically Turn your Tags into Senses}, url = {http://CEUR-WS.org/Vol-405/paper1.pdf}, year = 2008 }