http://www.bibsonomy.org/burst/group/tagoraBibSonomy BuRST Feed for /group/tagora2008-07-21T00:34:59+02:00http://www.bibsonomy.org/bibtex/2f1a145a60c3e4d39e91b39a7c1178110/dbenzdbenz2008-07-17T10:36:27+02:00extract resources folksonomy social-networks toread relations <span style="color:#555555;">Junichiro <a href="http://www.bibsonomy.org/author/Mori">Mori</a> and Takumi <a href="http://www.bibsonomy.org/author/Tsujishita">Tsujishita</a> and Yutaka <a href="http://www.bibsonomy.org/author/Matsuo">Matsuo</a> and Mitsuru <a href="http://www.bibsonomy.org/author/Ishizuka">Ishizuka</a> </span><em>International Semantic Web Conference, </em><em>page487-500. </em>(<em>2006</em>)Thu Jul 17 10:36:27 CEST 2008International Semantic Web ConferenceDBLP:conf/semweb/2006487-500Extracting Relations in Social Networks from the Web Using Similarity Between Collective Contexts2006extract resources folksonomy social-networks toread relations [0710.2889] An efficient reduction of ranking to classificationhttp://www.bibsonomy.org/bibtex/2d8bd1b99e3c245d17b577514727ebff2/hothohotho2008-07-15T18:12:46+02:00toread ranking learning <span style="color:#555555;">Nir <a href="http://www.bibsonomy.org/author/Ailon">Ailon</a> and Mehryar <a href="http://www.bibsonomy.org/author/Mohri">Mohri</a> </span>(<em>2007</em>)Tue Jul 15 18:12:46 CEST 2008An efficient reduction of ranking to classification2007toread ranking learning This paper describes an efficient reduction of the learning problem of ranking to binary classification. The reduction guarantees an average pairwise misranking regret of at most that of the binary classifier regret, improving a recent result of Balcan et al which only guarantees a factor of 2. Moreover, our reduction applies to a broader class of ranking loss functions, admits a simpler proof, and the expected running time complexity of our algorithm in terms of number of calls to a classifier or preference function is improved from $\Omega(n^2)$ to $O(n \log n)$. In addition, when the top $k$ ranked elements only are required ($k \ll n$), as in many applications in information extraction or search engines, the time complexity of our algorithm can be further reduced to $O(k \log k + n)$. Our reduction and algorithm are thus practical for realistic applications where the number of points to rank exceeds several thousands. Much of our results also extend beyond the bipartite case previously studied.http://www.bibsonomy.org/bibtex/2296360a05851fa903e52b4968a45a12f/andreabandreab2008-07-14T14:39:47+02:00italia internet book web2.0 porno <span style="color:#555555;">Federico <a href="http://www.bibsonomy.org/author/Ferrazza">Ferrazza</a> </span><em>fazi, </em>(<em>2008</em>)Mon Jul 14 14:39:47 CEST 2008Personal porno. Come diventare pornostar in rete e manager di se stessi (senza farsi fottere)2008italia internet book web2.0 porno Internet ha cambiato il nostro modo di informarci, di comunicare, acquistare, di conoscere nuove persone. E di fare sesso. Non soltanto perché ha reso immediatamente disponibile materiale hard da vedere quando e dove si vuole, ma anche perché -grazie a siti di video sharing per adulti come PornoTube o YouPorn - da qualche tempo a questa parte ognuno può mettere in Rete i propri filmati amatoriali a contenuto erotico. Una vera rivoluzione per i professionisti del campo, che lamentano una crisi irreversibile del mercato. E per tanta gente comune che si improvvisa pornostar: protagonista di sequenze riprese da videocamere da poche centinaia di euro (o addirittura da cellulari) e messe gratuitamente a disposizione di migliaia di utenti sconosciuti. Federico Terrazza, giornalista esperto di nuove tecnologie, va a scandagliare il bizzarro e variegato universo della sessualità on line nelle sue molteplici accezioni: dalle studentesse e impiegate che "arrotondano" spogliandosi davanti a una webcam all'industria che gestisce la messaggeria erotica più visitata al mondo (AdultFriendFinder.com, che raccoglie 7,2 milioni di contatti al giorno), dai videogame porno in 3D in stile Second Life ai negozi virtuali di sex toysì fino ai minifilm hard da scaricare sul telefonino. http://www.bibsonomy.org/bibtex/2645abd6b3191a2a6e844d7542651ed1c/hothohotho2008-07-12T12:19:07+02:00folksonomy community clusterig detection toread <span style="color:#555555;">Akshay <a href="http://www.bibsonomy.org/author/Java">Java</a> and Anupam <a href="http://www.bibsonomy.org/author/Joshi">Joshi</a> and Tim <a href="http://www.bibsonomy.org/author/Finin">Finin</a> </span><em>WebKDD 2008 Workshop on Web Mining and Web Usage Analysis, </em><em>August2008. </em><em>To Appear . </em>Sat Jul 12 12:19:07 CEST 2008WebKDD 2008 Workshop on Web Mining and Web Usage AnalysisAugustTo Appear{Detecting Commmunities via Simultaneous Clustering of Graphs and Folksonomies}2008folksonomy community clusterig detection toread Flickr tag recommendation based on collective knowledgehttp://www.bibsonomy.org/bibtex/21180c2b62d74ec836dce01b7466f88d3/andreabandreab2008-07-10T17:12:31+02:00statistics imported flickr wordnet tags recommendation co-occurrence yahoo www2008 tagging <span style="color:#555555;">B&#246;rkur <a href="http://www.bibsonomy.org/author/Sigurbj\&#034;{o}rnsson">Sigurbj&#246;rnsson</a> and Roelof van <a href="http://www.bibsonomy.org/author/Zwol">Zwol</a> </span><em>WWW '08: Proceeding of the 17th international conference on World Wide Web, </em><em>page327--336. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Thu Jul 10 17:12:31 CEST 2008New York, NY, USAWWW '08: Proceeding of the 17th international conference on World Wide Web327--336Flickr tag recommendation based on collective knowledge2008statistics imported flickr wordnet tags recommendation co-occurrence yahoo www2008 tagging http://www.bibsonomy.org/bibtex/27ffee89349e08beef1b55ab9d68ddd30/andreabandreab2008-07-08T11:55:35+02:00statistics search delicious data tagging folksonomy <span style="color:#555555;">Paul <a href="http://www.bibsonomy.org/author/Heymann">Heymann</a> and Georgia <a href="http://www.bibsonomy.org/author/Koutrika">Koutrika</a> and Hector <a href="http://www.bibsonomy.org/author/Garcia-Molina">Garcia-Molina</a> </span><em>WSDM '08: Proceedings of the international conference on Web search and web data mining, </em><em>page195--206. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Tue Jul 08 11:55:35 CEST 2008New York, NY, USAWSDM '08: Proceedings of the international conference on Web search and web data mining195--206Can social bookmarking improve web search?2008statistics search delicious data tagging folksonomy http://www.bibsonomy.org/bibtex/2573ac0e71d6b1c369cf881ddda8c7841/dbenzdbenz2008-07-07T15:50:15+02:00ontology_learning taxonomic_overlap <span style="color:#555555;">Philipp <a href="http://www.bibsonomy.org/author/Cimiano">Cimiano</a> and Steffen <a href="http://www.bibsonomy.org/author/Staab">Staab</a> and Julien <a href="http://www.bibsonomy.org/author/Tane">Tane</a> </span><em>Proceedings of the ECML / PKDD Workshop on Adaptive Text Extraction and Mining, </em><em>page10--17. </em><em>Cavtat-Dubrovnik, Croatia, </em>(<em>2003</em>)Mon Jul 07 15:50:15 CEST 2008Cavtat-Dubrovnik, CroatiaProceedings of the ECML / PKDD Workshop on Adaptive Text Extraction and Mining10--17Automatic Acquisition of Taxonomies from Text: FCA meets NLP2003ontology_learning taxonomic_overlap http://www.bibsonomy.org/bibtex/2b54f6557893e3ab9d1eb83b0baeb136e/stummestumme2008-07-04T15:05:56+02:00bookmarking folksonomy social <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> </span><em>page26-38. </em><em>Oldenbourg Verlag, </em><em>M&#252;nchen, </em>(<em>2008</em>)Fri Jul 04 15:05:56 CEST 2008MünchenWeb 2.0 in der Unternehmenspraxis: Grundlagen, Fallstudien und Trends zum Einsatz von Social Software26-38Social Bookmarking2008bookmarking folksonomy social Welcome to IEEE Xplore 2.0: CoolRank: A Social Solution for Ranking Bookmarked Web Resourceshttp://www.bibsonomy.org/bibtex/24671fb1c606e3d7f559bb25d9b20e47d/hothohotho2008-07-02T16:57:41+02:00folksonomy * 2.0 toread ranking web folkrank <span style="color:#555555;">H.S. <a href="http://www.bibsonomy.org/author/Al-Khalifa">Al-Khalifa</a> </span><em>Innovations in Information Technology, 2007. Innovations '07. 4th International Conference on, </em><em>page208-212. </em>(<em>2007</em>)Wed Jul 02 16:57:41 CEST 2008Innovations in Information Technology, 2007. Innovations '07. 4th International Conference on208-212CoolRank: A Social Solution for Ranking Bookmarked Web Resources2007folksonomy * 2.0 toread ranking web folkrank Users tag resources for a variety of reasons and using a variety of conventions. The tags that they provide are stored in social bookmarking services, so these services can provide a rich gateway to a wide and interesting quantity of web resources. The cognitive effort that has gone into making these tags has presumably added value to the description of the resource. In this work we utilize the quantitative value of these tags for ranking bookmarked web resources in social bookmarking services. Our proposed solution is called CoolRank, a simple and intuitive model to rank bookmarked web resources in a social bookmarking service, such as del.icio.us. CoolRank makes use of both quantitative information, based on the number of people who have bookmarked a web resource, and subjective information, based on the words people have used in their tags.http://www.bibsonomy.org/bibtex/2be0039c7526f0cf3f4c27e1b7733296d/andreabandreab2008-07-01T18:40:45+02:00moon topography lidar clementine imported <span style="color:#555555;">David E. <a href="http://www.bibsonomy.org/author/Smith">Smith</a> and Maria T. <a href="http://www.bibsonomy.org/author/Zuber">Zuber</a> and Gregory A. <a href="http://www.bibsonomy.org/author/Neumann">Neumann</a> and Frank G. <a href="http://www.bibsonomy.org/author/Lemoine">Lemoine</a> </span><em>JOURNAL OF GEOPHYSICAL RESEARCH</em><em>102(E 1):1591-1611</em>(<em>1997</em>)Tue Jul 01 18:40:45 CEST 2008JOURNAL OF GEOPHYSICAL RESEARCHE 11591-1611Topography of the Moon from the Clementine lidar 1021997moon topography lidar clementine imported Range measurements from the lidar instrument carried aboard the Clementine spacecraft have been used to produce an accurate global topographic model of the Moon. This paper discusses the function of the lidar; the acquisition, processing, and filtering of observations to produce a global topographic model; and the determination of parameters that define the fundamental shape of the Moon. Our topographic model; a 72nd degree and order spherical harmonic expansion of lunar radii, is designated Goddard Lunar Topography Model 2 (GLTM 2). This topographic field has an absolute vertical accuracy of approximately 100 m and a spatial resolution of 2.5°. The field shows that the Moon can be described as a sphere with maximum positive and negative deviations of ∼8 km, both occurring on the farside, in the areas of the Korolev and South Pole-Aitken (S.P.-Aitken) basins. The amplitude spectrum of the topography shows more power at longer wavelengths as compared to previous models, owing to more complete sampling of the surface, particularly the farside. A comparison of elevations derived from the Clementine lidar to control point elevations from the Apollo laser altimeters indicates that measured relative topographic heights generally agree to within ∼200 m over the maria. While the major axis of the lunar gravity field is aligned in the Earth-Moon direction, the major axis of topography is displaced from this line by approximately 10° to the east and intersects the farside 24° north of the equator. The magnitude of impact basin topography is greater than the lunar flattening (∼2 km) and equatorial ellipticity (∼800 m), which imposes a significant challenge to interpreting the lunar figure. The floors of mare basins are shown to lie close to an equipotential surface, while the floors of unflooded large basins, except for S.P.-Aitken, lie above this equipotential. The radii of basin floors are thus consistent with a hydrostatic mechanism for the absence of significant farside maria except for S.P.-Aitken, whose depth and lack of mare require significant internal compositional and/or thermal heterogeneity. A macroscale surface roughness map shows that roughness at length scales of 101–102 km correlates with elevation and surface age. D5 MPI-INF Publications: Proceedings Article: Learning Word-to-Concept Mappings for Automatic Text Classificationhttp://www.bibsonomy.org/bibtex/257f8241941ed979455c3dbb90893020f/hothohotho2008-07-01T15:19:39+02:00topic tc wordnet concept text model classification <span style="color:#555555;">Georgiana <a href="http://www.bibsonomy.org/author/Ifrim">Ifrim</a> and Martin <a href="http://www.bibsonomy.org/author/Theobald">Theobald</a> and Gerhard <a href="http://www.bibsonomy.org/author/Weikum">Weikum</a> </span><em>Proceedings of the 22nd International Conference on Machine Learning - Learning in Web Search (LWS 2005), </em><em>page18--26. </em><em>Bonn, Germany, </em>(<em>2005</em>)Tue Jul 01 15:19:39 CEST 2008Bonn, GermanyProceedings of the 22nd International Conference on Machine Learning - Learning in Web Search (LWS 2005)18--26Learning Word-to-Concept Mappings for Automatic Text Classification2005topic tc wordnet concept text model classification http://www.bibsonomy.org/bibtex/2e0743ca2e566e0a2745884f9a2189dbd/stummestumme2008-07-01T09:41:23+02:00world small smallworld <span style="color:#555555;">Brian <a href="http://www.bibsonomy.org/author/Uzzi">Uzzi</a> and Jarett <a href="http://www.bibsonomy.org/author/Spiro">Spiro</a> </span><em>American Journal of Sociology</em><em>111(2):447--504</em>(<em>2005</em>)Tue Jul 01 09:41:23 CEST 2008American Journal of Sociology2447--504Collaboration and Creativity: The Small World Problem1112005world small smallworld Small world networks have received disproportionate notice in diverse fields because of their suspected effect on system dynamics. The authors analyzed the small world network of the creative artists who made Broadway musicals from 1945 to 1989. Using original arguments, new statistical methods, and tests of construct validity, they found that the varying “small world” properties of the systemic level network of these artists affected their creativity in terms of the financial and artistic performance of the musicals they produced. The small world network effect was parabolic; performance increased up to a threshold, after which point the positive effects reversed.http://www.bibsonomy.org/bibtex/2b54f6557893e3ab9d1eb83b0baeb136e/hothohotho2008-06-25T10:36:15+02:00bookmarking 2008 folksonomy myown social <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> </span><em>page26-38. </em><em>Oldenbourg Verlag, </em><em>M&#252;nchen, </em>(<em>2008</em>)Wed Jun 25 10:36:15 CEST 2008MünchenWeb 2.0 in der Unternehmenspraxis: Grundlagen, Fallstudien und Trends zum Einsatz von Social Software26-38Social Bookmarking2008bookmarking 2008 folksonomy myown social http://www.bibsonomy.org/bibtex/26e6476862232718bab862d83fbe998ac/harithharith2008-06-20T21:39:01+02:00tagorapub collaborative web2.0 ontology <span style="color:#555555;">Natasha F. <a href="http://www.bibsonomy.org/author/Noy">Noy</a> and Abhita <a href="http://www.bibsonomy.org/author/Chugh">Chugh</a> and Harith <a href="http://www.bibsonomy.org/author/Alani">Alani</a> </span><em>IEEE Intelligent Systems</em><em>[&quot;lib/utils:monthverb1_115036&quot; not defined]2008. </em>Fri Jun 20 21:39:01 CEST 2008IEEE Intelligent Systems["lib/utils:month\verb1_115036" not defined]1The CKC Challenge: Exploring Tools for Collaborative Knowledge Construction232008tagorapub collaborative web2.0 ontology Web 2.0?s great success is fueled mainly by an infrastructure that lets users easily create, share, tag, and connect content and knowledge. In general, the knowledge created in today?s applications for collaborative tagging, folksonomies, wikis, and so on is mostly unstructured: tags or wiki pages don?t have semantic links between them and usually aren?t related in any structured form. By contrast, ontologies, database schemas, and taxonomies usually contain explicit definitions of, and links between, their components, often with well-defined semantics. A new generation of tools supports the integration of Web 2.0 and Semantic Web approaches. Some of these tools - such as Semantic MediaWiki, BOWiki, and Platypus Wiki ? provide wiki extensions for creating semantic links between pages. Other tools let users organize tags in some semantic structure, and fully fledged ontology editors such as pOWL support the distributed and collaborative development of ontologies. Commercial tools such as Freebase are also entering the field. Most of these tools are in early development?the collaborative-knowledge-construction field is in its infancy. Few, if any, user studies outline what users expect from such tools and what does or doesn?t work. So, we organized the Collaborative Knowledge Construction Challenge. The CKC Challenge let users try different tools and provide feedback to help us assess the state of the art.http://www.bibsonomy.org/bibtex/25477948c69399262ef9dfa489191f48c/vittorio.loretovittorio.loreto2008-06-20T18:59:44+02:00fet social baldassarri paper information web systems loreto position dynamics 2007 cattuto workshop tagorapub <span style="color:#555555;">Vittorio <a href="http://www.bibsonomy.org/author/Loreto">Loreto</a> and Ciro <a href="http://www.bibsonomy.org/author/Cattuto">Cattuto</a> and Andrea <a href="http://www.bibsonomy.org/author/Baldassarri">Baldassarri</a> </span>(<em>2007</em>)Fri Jun 20 18:59:44 CEST 2008Infomation dynamics in web-based social systems2007fet social baldassarri paper information web systems loreto position dynamics 2007 cattuto workshop tagorapub http://www.bibsonomy.org/bibtex/2b5f5ffae5b1a52c77345881215824131/vittorio.loretovittorio.loreto2008-06-20T17:56:47+02:00systems sleb baronchelli tagorapub language minett puglisi wang loreto emergence complex cattuto 2007 <span style="color:#555555;">A. <a href="http://www.bibsonomy.org/author/Baronchelli">Baronchelli</a> and C. <a href="http://www.bibsonomy.org/author/Cattuto">Cattuto</a> and V. <a href="http://www.bibsonomy.org/author/Loreto">Loreto</a> and A. <a href="http://www.bibsonomy.org/author/Puglisi">Puglisi</a> </span><em>Language, Evolution and the Brain, </em>(<em>2007</em>)Fri Jun 20 17:56:47 CEST 2008Language, Evolution and the BrainComplex systems approach to the emergence of language2007systems sleb baronchelli tagorapub language minett puglisi wang loreto emergence complex cattuto 2007 Fighting Spam on Social Web Siteshttp://www.bibsonomy.org/bibtex/23e0a8be9fb6fff102e6aed13d1db22f7/andreabandreab2008-06-20T14:59:18+02:00web heymann social folksonomy 2007 spam <span style="color:#555555;">Paul <a href="http://www.bibsonomy.org/author/Heymann">Heymann</a> and Georgia <a href="http://www.bibsonomy.org/author/Koutrika">Koutrika</a> and Hector <a href="http://www.bibsonomy.org/author/Garcia-Molina">Garcia-Molina</a> </span><em>IEEE Internet Computing</em><em>11(6):36--45</em>(<em>2007</em>)Fri Jun 20 14:59:18 CEST 2008Piscataway, NJ, USAIEEE Internet Computing636--45Fighting Spam on Social Web Sites: A Survey of Approaches and Future Challenges112007web heymann social folksonomy 2007 spam In recent years, social Web sites have become important components of the Web. With their success, however, has come an increasing flux of spam. If left unchecked, spam threatens to undermine resource sharing, interactivity, and openness. The authors survey three categories of potential countermeasures: those based on detection, demotion, and prevention. Although many of these countermeasures have been proposed before for email and Web spam, the authors find that their applicability to social Web sites differs. How should we evaluate spam countermeasures for social Web sites, and what future challenges might we face?http://www.bibsonomy.org/bibtex/21c119ca0fedd785c3563c421599d487f/vittorio.loretovittorio.loreto2008-06-20T12:33:08+02:00language physics loreto social fortunato crowd culture 2007 opinion RMP_CFL castellano dynamics tagorapub <span style="color:#555555;">Claudio <a href="http://www.bibsonomy.org/author/Castellano">Castellano</a> and Santo <a href="http://www.bibsonomy.org/author/Fortunato">Fortunato</a> and Vittorio <a href="http://www.bibsonomy.org/author/Loreto">Loreto</a> </span><em>Reviews of Modern Physics</em><em>xx(xxx):xxx</em>(<em>2008</em>)Fri Jun 20 12:33:08 CEST 2008Reviews of Modern PhysicsxxxxxxStatistical physics of social dynamicsxx2008language physics loreto social fortunato crowd culture 2007 opinion RMP_CFL castellano dynamics tagorapub Statistical physics has proven to be a very fruitful framework to describe phenomena outside the realm of traditional physics. The last years have witnessed the attempt by physicists to study collective phenomena emerging from the interactions of individuals as elementary units in social structures. Here we review the state of the art by focusing on three major research lines i.e., opinion, cultural and language dynamics. In addition we discuss other social phenomena, such as crowd behavior, hierarchy formation, human dynamics, social spreading. We highlight the connections between these problems and other, more traditional, topics of statistical physics. We also emphasize the comparison of model results with empirical data from social systems.http://www.bibsonomy.org/bibtex/2cc39f6a45134020d97fe0fdce7793691/vittorio.loretovittorio.loreto2008-06-19T13:58:51+02:00heaps growth information 1978 retrieval vocabulary <span style="color:#555555;">H. S. <a href="http://www.bibsonomy.org/author/Heaps">Heaps</a> </span><em>Academic Press, Inc., </em><em>Orlando, FL, USA, </em>(<em>1978</em>)Thu Jun 19 13:58:51 CEST 2008Orlando, FL, USAInformation Retrieval: Computational and Theoretical Aspects1978heaps growth information 1978 retrieval vocabulary http://www.bibsonomy.org/bibtex/28e7d664e29056208e6818a22dcc0e7da/vittorio.loretovittorio.loreto2008-06-19T13:28:26+02:00barrat network annotation cattuto baldassarri sublinear cooccurrence schehr social 2008 growth tagorapub loreto <span style="color:#555555;">C. <a href="http://www.bibsonomy.org/author/Cattuto">Cattuto</a> and A. <a href="http://www.bibsonomy.org/author/Barrat">Barrat</a> and A. <a href="http://www.bibsonomy.org/author/Baldassarri">Baldassarri</a> and G. <a href="http://www.bibsonomy.org/author/Schehr">Schehr</a> and V. <a href="http://www.bibsonomy.org/author/Loreto">Loreto</a> </span>(<em>2008</em>)Thu Jun 19 13:28:26 CEST 2008The collective dynamics of social annotation2008barrat network annotation cattuto baldassarri sublinear cooccurrence schehr social 2008 growth tagorapub loreto