http://www.bibsonomy.org/burst/user/hotho/webBibSonomy BuRST Feed for /user/hotho/web2008-09-05T07:36:08+02:00HT: HT '08, Logsonomy - social information ...http://www.bibsonomy.org/bibtex/2c7f43f2f922de1e7febedd10347e80cb/hothohotho2008-08-28T08:21:19+02:00folksonomy 2008 myown 2.0 logsonomy web <span style="color:#555555;">Beate <a href="http://www.bibsonomy.org/author/Krause">Krause</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>HT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, </em><em>Seite157--166. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Thu Aug 28 08:21:19 CEST 2008New York, NY, USAHT '08: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia157--166Logsonomy - social information retrieval with logdata2008folksonomy 2008 myown 2.0 logsonomy web Social bookmarking systems constitute an established part of the Web 2.0. In such systems users describe bookmarks by keywords called tags. The structure behind these social systems, called folksonomies, can be viewed as a tripartite hypergraph of user, tag and resource nodes. This underlying network shows specific structural properties that explain its growth and the possibility of serendipitous exploration. Today's search engines represent the gateway to retrieve information from the World Wide Web. Short queries typically consisting of two to three words describe a user's information need. In response to the displayed results of the search engine, users click on the links of the result page as they expect the answer to be of relevance. This clickdata can be represented as a folksonomy in which queries are descriptions of clicked URLs. The resulting network structure, which we will term logsonomy is very similar to the one of folksonomies. In order to find out about its properties, we analyze the topological characteristics of the tripartite hypergraph of queries, users and bookmarks on a large snapshot of del.icio.us and on query logs of two large search engines. All of the three datasets show small world properties. The tagging behavior of users, which is explained by preferential attachment of the tags in social bookmark systems, is reflected in the distribution of single query words in search engines. We can conclude that the clicking behaviour of search engine users based on the displayed search results and the tagging behaviour of social bookmarking users is driven by similar dynamics.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+02:00ranking folkrank web 2.0 * folksonomy toread <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>Seite208-212. </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 Resources2007ranking folkrank web 2.0 * folksonomy toread 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.Handbook on ontologies [WorldCat.org]http://www.bibsonomy.org/bibtex/2ad25de339fffcc16870b813b6db00339/hothohotho2008-06-12T16:55:39+02:00survey handbook web semantic ontology <span style="color:#555555;">Steffen <a href="http://www.bibsonomy.org/author/Staab">Staab</a> und Rudi <a href="http://www.bibsonomy.org/author/Studer">Studer</a> </span><em>Springer, </em><em>Berlin; New York, </em>(<em>2004</em>)Thu Jun 12 16:55:39 CEST 2008Berlin; New YorkInternational handbooks on information systems--Handbook on ontologies2004survey handbook web semantic ontology http://www.bibsonomy.org/bibtex/292d3a5fdd786086fa12787e3e350b6af/hothohotho2008-02-13T12:26:23+01:00web introduction ir ml ki mining 2007 myown <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>K&#252;nstliche Intelligenz</em>(<em>2007</em>)Wed Feb 13 12:26:23 CET 2008Künstliche Intelligenz35-8Mining the World Wide Web2007web introduction ir ml ki mining 2007 myown From Web to Social Web: Discovering and Deploying User and Cont... - Data Mi...Journals, Books & Online Media | Springerhttp://www.bibsonomy.org/bibtex/28aa8d9bcbb5a5bb3fc480d1e53b27236/hothohotho2008-01-31T12:01:31+01:00web social myown 2007 dm mining data tm <span style="color:#555555;">B. <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> und A. <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und D. <a href="http://www.bibsonomy.org/author/Mladenic">Mladenic</a> und G. <a href="http://www.bibsonomy.org/author/Semeraro">Semeraro</a> (eds.). </span><em>LNCS </em><em>Springer, </em>(<em>2007</em>)Thu Jan 31 12:01:31 CET 2008LNCSFrom Web to Social Web: Discovering and Deploying User and Content Profiles 47362007web social myown 2007 dm mining data tm This book constitutes the refereed proceedings of the Workshop on Web Mining, WebMine 2006, held in Berlin, Germany, September 18th, 2006. Topics included are data mining based on analysis of bloggers and tagging, web mining, XML mining and further techniques of knowledge discovery. The book is especially valuable for those interested in the aspects of the Social Web (Web 2.0) and its inherent dynamic and diversity of user-generated content.Distributed feature extraction in a p2p settinghttp://www.bibsonomy.org/bibtex/2e5eba80e58b4532a3fd3bcf50994734e/hothohotho2008-01-25T20:42:37+01:002.0 music dm web mining p2p tagging summerschool kdubiq <span style="color:#555555;">Michael <a href="http://www.bibsonomy.org/author/Wurst">Wurst</a> und Katharina <a href="http://www.bibsonomy.org/author/Morik">Morik</a> </span><em>Future Gener. Comput. Syst.</em><em>23(1):69--75</em>(<em>2007</em>)Fri Jan 25 20:42:37 CET 2008Amsterdam, The Netherlands, The NetherlandsFuture Gener. Comput. Syst.169--75Distributed feature extraction in a p2p setting: a case study2320072.0 music dm web mining p2p tagging summerschool kdubiq http://www.bibsonomy.org/bibtex/285f032bf2ffe9b1b55f8656c8a0d6d70/hothohotho2008-01-15T10:29:05+01:002006 ontology network myown sna web analysis social semantic <span style="color:#555555;">Bettina <a href="http://www.bibsonomy.org/author/Hoser">Hoser</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proceedings of the 3rd European Semantic Web Conference, </em><em>Volume4011vonLNCS, </em><em>Seite514-529. </em><em>Budva, Montenegro, </em><em>Springer, </em><em>June2006. </em>Tue Jan 15 10:29:05 CET 2008Budva, MontenegroProceedings of the 3rd European Semantic Web ConferenceJune514-529LNCSSemantic Network Analysis of Ontologies401120062006 ontology network myown sna web analysis social semantic http://www.bibsonomy.org/bibtex/216c101a3e00d8930832b1e8c07b31d65/hothohotho2008-01-15T09:48:50+01:002006 semantic myown collaborative knowledge management folksonomy Wissensmanagement web <span style="color:#555555;">Christoph <a href="http://www.bibsonomy.org/author/Schmitz">Schmitz</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Robert <a href="http://www.bibsonomy.org/author/Jäschke">J&#228;schke</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Semantic Web - Wege zur vernetzten Wissensgesellschaft, </em><em>Springer, </em>(<em>2006</em>)Tue Jan 15 09:48:50 CET 2008Semantic Web - Wege zur vernetzten Wissensgesellschaft273-290Kollaboratives Wissensmanagement20062006 semantic myown collaborative knowledge management folksonomy Wissensmanagement web Wissensmanagement in zentralisierten Wissensbasen erfordert einen hohen Aufwand für Erstellung und Wartung, und es entspricht nicht immer den Anforderungen der Benutzer. Wir geben in diesem Kapitel einen Überblick über zwei aktuelle Ansätze, die durch kollaboratives Wissensmanagement diese Probleme lösen können. Im Peer-to-Peer-Wissensmanagement unterhalten Benutzer dezentrale Wissensbasen, die dann vernetzt werden können, um andere Benutzer eigene Inhalte nutzen zu lassen. Folksonomies versprechen, die Wissensakquisition so einfach wie möglich zu gestalten und so viele Benutzer in den Aufbau und die Pflege einer gemeinsamen Wissensbasis einzubeziehen.http://www.bibsonomy.org/bibtex/2f306e43da22adede0286917d5d83eb3b/hothohotho2008-01-15T09:42:56+01:00web 2005 mining myown <span style="color:#555555;">Bettina <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Dunja <a href="http://www.bibsonomy.org/author/Mladenic">Mladenic</a> und Giovanni <a href="http://www.bibsonomy.org/author/Semerano">Semerano</a> und Myra <a href="http://www.bibsonomy.org/author/Spiliopoulou">Spiliopoulou</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> und Maarten van <a href="http://www.bibsonomy.org/author/Someren">Someren</a> (eds.). </span><em>Workshop at the 16th Europ. Conf. on Machine Learning (ECML'05) / 9th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'05), </em>(<em>2005</em>)Tue Jan 15 09:42:56 CET 2008Proc. of the European Web Mining Forum 20052005web 2005 mining myown http://www.bibsonomy.org/bibtex/20fbd582960b0f6917d82bd1825c3d167/hothohotho2008-01-15T09:39:45+01:002004 semantic myown workshop web mining <span style="color:#555555;">Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und York <a href="http://www.bibsonomy.org/author/Sure">Sure</a> und Lise <a href="http://www.bibsonomy.org/author/Getoor">Getoor</a> (eds.). </span><em>AUG2004. </em><em>located at the 10th International ACM SIGKDD Conference on Knowledge Discovery and Data Mining KDD 2004, 22nd August 2004, Seattle, WA, USA . </em>Tue Jan 15 09:39:45 CET 2008AUGlocated at the 10th International ACM SIGKDD Conference on Knowledge Discovery and Data Mining KDD 2004, 22nd August 2004, Seattle, WA, USAInternational Workshop on Mining for and from the Semantic Web (MSW2004)20042004 semantic myown workshop web mining http://www.bibsonomy.org/bibtex/2f5bfd0060d08ec6aefea23c4add8da51/hothohotho2008-01-15T09:29:14+01:002002 mining semantic web myown <span style="color:#555555;">B. <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> und A. <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und G. <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> (eds.). </span><em>Helsinki, </em><em>Workshop at 13th Europ. Conf. on Machine Learning (ECML'02) / 6th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'02), </em><em>August 202002. </em>Tue Jan 15 09:29:14 CET 2008HelsinkiProc. of the Semantic Web Mining WorkshopAugust 20Semantic Web Mining20022002 mining semantic web myown http://www.bibsonomy.org/bibtex/2604cb78986cc5596b4c336b9c5543add/hothohotho2008-01-15T09:28:02+01:00semantic myown mining 2001 web <span style="color:#555555;">G. <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> und A. <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und B. <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> (eds.). </span><em>Freiburg, </em><em>Workshop at 12th Europ. Conf. on Machine Learning (ECML'01) / 5th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD'01), </em><em>September 3rd2001. </em>Tue Jan 15 09:28:02 CET 2008FreiburgProc. of the Semantic Web Mining WorkshopSeptember 3rdSemantic Web Mining2001semantic myown mining 2001 web http://www.bibsonomy.org/bibtex/2e434232b8e3b80ff3b95006432fe54ee/hothohotho2008-01-14T14:47:18+01:00web 2006 search ir ml <span style="color:#555555;">S. <a href="http://www.bibsonomy.org/author/Bloehdorn">Bloehdorn</a> und W. <a href="http://www.bibsonomy.org/author/Buntine">Buntine</a> und A. <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> </span><em>Informatica</em><em>30(2):141-141</em>(<em>2006</em>)Mon Jan 14 14:47:18 CET 2008Informatica2141-141Introduction to the Special Issue 'Learning in Web Search'302006web 2006 search ir ml http://www.bibsonomy.org/bibtex/22de98c2b635f36c137e25256e8c235e0/hothohotho2008-01-14T09:58:03+01:00web search myown ml 2005 ir <span style="color:#555555;">Stephan <a href="http://www.bibsonomy.org/author/Bloehdorn">Bloehdorn</a> und Wray <a href="http://www.bibsonomy.org/author/Buntine">Buntine</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> (eds.). </span><em>AUG2005. </em><em>Workshop at the 22nd International Conference on Machine Learning (ICML 2005) . </em>Mon Jan 14 09:58:03 CET 2008AUGWorkshop at the 22nd International Conference on Machine Learning (ICML 2005) Proceedings of the Workshop on Learning in Web Search (LWS 2005) 2005web search myown ml 2005 ir http://www.bibsonomy.org/bibtex/2ecab780995c630270857b610c7c54e67/hothohotho2008-01-13T16:20:00+01:00workshop 2006 mining myown web <span style="color:#555555;">B. <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> und A. <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und D. <a href="http://www.bibsonomy.org/author/Mladenic">Mladenic</a> und G. <a href="http://www.bibsonomy.org/author/Semeraro">Semeraro</a> (eds.). </span>(<em>2006</em>)Sun Jan 13 16:20:00 CET 2008Workshop on Web Mining 2006 (WebMine)2006workshop 2006 mining myown web http://www.bibsonomy.org/bibtex/2495f8565cdda14bbbe197d11425f0fe8/hothohotho2008-01-13T14:02:47+01:002004 myown web mining semantic <span style="color:#555555;">Bettina <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Dunja <a href="http://www.bibsonomy.org/author/Mladenic">Mladenic</a> und Maarten van <a href="http://www.bibsonomy.org/author/Someren">Someren</a> und Myra <a href="http://www.bibsonomy.org/author/Spiliopoulou">Spiliopoulou</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> (eds.). </span><em>LNAI </em><em>Springer, </em><em>Heidelberg, </em>(<em>2004</em>)Sun Jan 13 14:02:47 CET 2008HeidelbergLNAIWeb Mining: From Web to Semantic Web320920042004 myown web mining semantic http://www.bibsonomy.org/bibtex/2f8826ba2790eeb857dd4becb31a08225/hothohotho2008-01-13T12:05:45+01:00semantic myown 2005 SumSchool06 web mining <span style="color:#555555;">Bettina <a href="http://www.bibsonomy.org/author/Berendt">Berendt</a> und Andreas <a href="http://www.bibsonomy.org/author/Hotho">Hotho</a> und Gerd <a href="http://www.bibsonomy.org/author/Stumme">Stumme</a> </span><em>Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space, </em><em>Seite1--16. </em><em>Technical University of Ostrava, </em>(<em>2005</em>)Sun Jan 13 12:05:45 CET 2008Proc. of the 1st Intl. Workshop on Representation and Analysis of Web Space1--16Semantic Web Mining and the Representation, Analysis, and Evolution of Web Space2005semantic myown 2005 SumSchool06 web mining http://www.bibsonomy.org/bibtex/28e03a4dca343ff691813d0139a770188/hothohotho2007-12-07T15:44:24+01:00semantic web swrc ontology <span style="color:#555555;">York <a href="http://www.bibsonomy.org/author/Sure">Sure</a> und Stephan <a href="http://www.bibsonomy.org/author/Bloehdorn">Bloehdorn</a> und Peter <a href="http://www.bibsonomy.org/author/Haase">Haase</a> und Jens <a href="http://www.bibsonomy.org/author/Hartmann">Hartmann</a> und Daniel <a href="http://www.bibsonomy.org/author/Oberle">Oberle</a> </span><em>Proceedings of the 12th Portuguese Conference on Artificial Intelligence - Progress in Artificial Intelligence (EPIA 2005), </em><em>Volume3803vonLNCS, </em><em>Seite218 - 231. </em><em>Covilha, Portugal, </em><em>Springer, </em><em>DEC2005. </em>Fri Dec 07 15:44:24 CET 2007Covilha, PortugalProceedings of the 12th Portuguese Conference on Artificial Intelligence - Progress in Artificial Intelligence (EPIA 2005)DEC218 - 231LNCSThe {SWRC} Ontology - Semantic Web for Research Communities38032005semantic web swrc ontology Vocabulary growth in collaborative tagging systemshttp://www.bibsonomy.org/bibtex/24d6bfbd16ba976f4a4aae985c2a92449/hothohotho2007-12-04T10:29:43+01:00systems collaborative vocabulary tagging 2.0 web <span style="color:#555555;">Ciro <a href="http://www.bibsonomy.org/author/Cattuto">Cattuto</a> und Andrea <a href="http://www.bibsonomy.org/author/Baldassarri">Baldassarri</a> und Vito D. P. <a href="http://www.bibsonomy.org/author/Servedio">Servedio</a> und Vittorio <a href="http://www.bibsonomy.org/author/Loreto">Loreto</a> </span>(<em>2007</em>)Tue Dec 04 10:29:43 CET 2007Vocabulary growth in collaborative tagging systems2007systems collaborative vocabulary tagging 2.0 web ScienceDirect - Computer Networks and ISDN Systems : Syntactic clustering of the Webhttp://www.bibsonomy.org/bibtex/293a3440b81c13ec81c17481a97719c71/hothohotho2007-11-23T14:11:12+01:00Web Fingerprints Duplication Resemblance search Signatures Similarity <span style="color:#555555;">Andrei Z. <a href="http://www.bibsonomy.org/author/Broder">Broder</a> und Steven C. <a href="http://www.bibsonomy.org/author/Glassman">Glassman</a> und Mark S. <a href="http://www.bibsonomy.org/author/Manasse">Manasse</a> und Geoffrey <a href="http://www.bibsonomy.org/author/Zweig">Zweig</a> </span><em>Computer Networks and ISDN Systems</em><em>29(8-13):1157--1166</em><em>#sep#1997. </em>Fri Nov 23 14:11:12 CET 2007Papers from the Sixth International World Wide Web ConferenceComputer Networks and ISDN Systems#sep#8-131157--1166Syntactic clustering of the Web291997Web Fingerprints Duplication Resemblance search Signatures Similarity We have developed an efficient way to determine the syntactic similarity of files and have applied it to every document on the World Wide Web. Using this mechanism, we built a clustering of all the documents that are syntactically similar. Possible applications include a "Lost and Found" service, filtering the results of Web searches, updating widely distributed web-pages, and identifying violations of intellectual property rights.