BibSonomyburst/user/stumme/retrievalBibSonomy RSS feed for /user/stumme/retrieval2012-02-16T12:20:47+01:00http://www.bibsonomy.org/bibtex/2e64d14f3207766f4afc65983fa759ffe/stummestumme2010-05-19T11:55:51+02:002.0 2008 analysis folksonomy information itegpub logsonomy myown network retrieval search social tagorapub web web2.0 web20 <span class="authorEditorList"><a href="/author/Krause">Beate Krause</a>, <a href="/author/Jäschke">Robert Jäschke</a>, <a href="/author/Hotho">Andreas Hotho</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>HT &#039;08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia, </em><em>page 157--166. </em><em>New York, NY, USA, </em><em>ACM, </em>(<em>2008</em>)Wed May 19 11:55:51 CEST 2010New York, NY, USAHT '08: Proceedings of the Nineteenth ACM Conference on Hypertext and Hypermedia157--166Logsonomy - Social Information Retrieval with Logdata20082.0 2008 analysis folksonomy information itegpub logsonomy myown network retrieval search social tagorapub web web2.0 web20 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.http://www.bibsonomy.org/bibtex/23c301945817681d637ee43901c016939/stummestumme2009-07-02T00:08:08+02:002006 FCA IR OntologyHandbook folkrank folksonomy information informationretrieval itegpub mimose myown pagerank ranking retrieval <span class="authorEditorList"><a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>The Semantic Web: Research and Applications, </em><em>volume 4011 of LNAI, </em><em>page 411-426. </em><em>Heidelberg, </em><em>Springer, </em>(<em>June 2006</em>)Thu Jul 02 00:08:08 CEST 2009HeidelbergThe Semantic Web: Research and ApplicationsJune411-426LNAIInformation Retrieval in Folksonomies: Search and Ranking401120062006 FCA IR OntologyHandbook folkrank folksonomy information informationretrieval itegpub mimose myown pagerank ranking retrieval http://www.bibsonomy.org/bibtex/2a53905954aeef0a80ec7424f978bca14/stummestumme2008-05-26T11:57:05+02:00analysis carpineto clustering concept fca formal information ir retrieval <span class="authorEditorList"><a href="/author/Carpineto">Claudio Carpineto</a>, and <a href="/author/Romano">Giovanni Romano</a> </span><em>Machine Learning</em> <em>24(2):95--122</em> (<em>August 1996</em>)Mon May 26 11:57:05 CEST 2008Machine Learning#aug#295--122A lattice conceptual clustering system and its application to browsing retrieval241996analysis carpineto clustering concept fca formal information ir retrieval The theory of concept (or Galois) lattices provides a simple and formal approach to conceptual clustering. In this paper we present GALOIS, a system that automates and applies this theory. The algorithm utilized by GALOIS to build a concept lattice is incremental and efficient, each update being done in time at most quadratic in the number of objects in the lattice. Also, the algorithm may incorporate background information into the lattice, and through clustering, extend the scope of the theory. The application we present is concerned with information retrieval via browsing, for which we argue that concept lattices may represent major support structures. We describe a prototype user interface for browsing through the concept lattice of a document-term relation, possibly enriched with a thesaurus of terms. An experimental evaluation of the system performed on a medium-sized bibliographic database shows good retrieval performance and a significant improvement after the introduction of background knowledge. ER -SpringerLink - Zeitschriftenbeitraghttp://www.bibsonomy.org/bibtex/2087d10ce5603cef6c6a8b443700368a2/stummestumme2008-03-28T12:11:30+01:00FCA OntologyHandbook folkrank folksonomy graph information mining pagerank rank ranking retrieval search seminar2006 <span class="authorEditorList"><a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/Jäschke">Robert Jäschke</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Proceedings of the 3rd European Semantic Web Conference, </em><em>page 411-426. </em><em>Springer, </em>(<em>2006</em>)Fri Mar 28 12:11:30 CET 2008Proceedings of the 3rd European Semantic Web Conference411-426Lecture Notes in Computer ScienceInformation Retrieval in Folksonomies: Search and Ranking2006FCA OntologyHandbook folkrank folksonomy graph information mining pagerank rank ranking retrieval search seminar2006 http://www.bibsonomy.org/bibtex/2b1e4dabc5b558aeea1b839a7f123eef1/stummestumme2008-03-28T12:11:30+01:002006 FCA IR OntologyHandbook folkrank folksonomy information informationretrieval itegpub mimose myown pagerank ranking retrieval <span class="authorEditorList"><a href="/author/Hotho">Andreas Hotho</a>, <a href="/author/J�schke">Robert J�schke</a>, <a href="/author/Schmitz">Christoph Schmitz</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>The Semantic Web: Research and Applications, </em><em>volume 4011 of LNAI, </em><em>page 411-426. </em><em>Heidelberg, </em><em>Springer, </em>(<em>June 2006</em>)Fri Mar 28 12:11:30 CET 2008HeidelbergThe Semantic Web: Research and ApplicationsJune411-426LNAIInformation Retrieval in Folksonomies: Search and Ranking401120062006 FCA IR OntologyHandbook folkrank folksonomy information informationretrieval itegpub mimose myown pagerank ranking retrieval http://www.bibsonomy.org/bibtex/2be881638f77ac9d0b4e8434f0b3385f6/stummestumme2008-03-28T12:11:30+01:00FCA OntologyHandbook analysis concept fca formal image images information ir retrieval sleuth <span class="authorEditorList"><a href="/author/Ducrou">J. Ducrou</a>, <a href="/author/Vormbrock">B. Vormbrock</a>, and <a href="/author/Eklund">P. W. Eklund</a> </span><em>Proc. of the 14 th Int. Conference on Conceptual Structures, </em><em>Springer-Verlag, </em>(<em>2006</em>)Fri Mar 28 12:11:30 CET 2008Proc. of the 14 th Int. Conference on Conceptual Structures{FCA}-based Browsing and Searching of a Collection of Images2006FCA OntologyHandbook analysis concept fca formal image images information ir retrieval sleuth http://www.bibsonomy.org/bibtex/2e614719477302971ab0acf6b4b95ea96/stummestumme2007-08-16T15:29:36+02:00analysis concept fca formal image images information ir retrieval sleuth <span class="authorEditorList"><a href="/author/Ducrou">J. Ducrou</a>, <a href="/author/Vormbrock">B. Vormbrock</a>, and <a href="/author/Eklund">P. W. Eklund</a> (Eds.). </span><em>Proc. of the 14 th Int. Conference on Conceptual Structures, </em><em>Springer-Verlag, </em>(<em>2006</em>)Thu Aug 16 15:29:36 CEST 2007Proc. of the 14 th Int. Conference on Conceptual StructuresFCA-based Browsing and Searching of a Collection of Images2006analysis concept fca formal image images information ir retrieval sleuth http://www.bibsonomy.org/bibtex/204c7d86337d68e4ed9ae637029c43414/stummestumme2006-09-21T16:23:46+02:00kmeans clustering discovery wordnet ir knowledge kdd mining retrieval text information myown data document 2003 <span class="authorEditorList"><a href="/author/Hotho"> Hotho</a>, <a href="/author/Staab">S. Staab</a>, and <a href="/author/Stumme">G. Stumme</a> </span><em>Proc. SIGIR Semantic Web Workshop, </em><em>Toronto, </em>(<em>2003</em>)Thu Sep 21 16:23:46 CEST 2006TorontoProc. SIGIR Semantic Web WorkshopWordnet improves text document clustering2003kmeans clustering discovery wordnet ir knowledge kdd mining retrieval text information myown data document 2003 http://www.bibsonomy.org/bibtex/2022d58bb6596a05c31d3a2eb42f72e4d/stummestumme2006-09-20T19:54:31+02:00retrieval formal information myown concept systems toscana analysis fca conceptual 1999 <span class="authorEditorList"><a href="/author/Stumme">Gerd Stumme</a> </span><em>Datenbanksysteme in Büro, Technik und Wissenschaft. Proc. BTW&#039;99, </em><em>page 328-342. </em><em>Heidelberg, </em>(<em>1999</em>)Wed Sep 20 19:54:31 CEST 2006HeidelbergDatenbanksysteme in Büro, Technik und Wissenschaft. Proc. BTW'99328-342Dual Retrieval in Conceptual Information Systems1999retrieval formal information myown concept systems toscana analysis fca conceptual 1999 http://www.bibsonomy.org/bibtex/2473f5c2cca394fac0de61086082a09de/stummestumme2006-09-20T18:17:18+02:00search retrieval formal information myown concept nepomuk email analysis fca 2003 <span class="authorEditorList"><a href="/author/Cole">Richard J. Cole</a>, <a href="/author/Eklund">Peter W. Eklund</a>, and <a href="/author/Stumme">Gerd Stumme</a> </span><em>Journal of Applied Artificial Intelligence AAI</em> <em>17(3):257-280</em> (<em>2003</em>)Wed Sep 20 18:17:18 CEST 2006Journal of Applied Artificial Intelligence (AAI)3257-280Document Retrieval for Email Search and Discovery using Formal Concept Analysis172003search retrieval formal information myown concept nepomuk email analysis fca 2003 This paper discusses an document discovery tool based on conceptual clustering by formal concept analysis. The program allows users to navigate email using a visual lattice metaphor rather than a tree. It implements a virtual file structure over email where files and entire directories can appear in multiple positions. The content and shape of the lattice formed by the conceptual ontology can assist in email discovery. The system described provides more flexibility in retrieving stored emails than what is normally available in email clients. The paper discusses how conceptual ontologies can leverage traditional document retrieval systems and aid knowledge discovery in document collections.http://www.bibsonomy.org/bibtex/2b738abb5a0f2cae47e8f0633460c69a3/stummestumme2006-09-13T16:49:09+02:00lecture retrieval ir information advanced <span class="authorEditorList"><a href="/author/Lang">Ken Lang</a> </span><em>Proceedings of the 12th International Conference on Machine Learning, </em><em>page 331--339. </em><em>Morgan Kaufmann publishers Inc.: San Mateo, CA, USA, </em>(<em>1995</em>)Wed Sep 13 16:49:09 CEST 2006Proceedings of the 12th International Conference on Machine Learning331--339News{W}eeder: learning to filter netnews1995lecture retrieval ir information advanced NewsWeeder: Learning to Filter Netnews - Lang (ResearchIndex)http://www.bibsonomy.org/bibtex/2f349b429624935212ebeed613b89794f/stummestumme2006-09-13T16:48:29+02:00lecture retrieval ir information advanced <span class="authorEditorList"><a href="/author/Sarwar">Badrul M. Sarwar</a>, <a href="/author/Karypis">George Karypis</a>, <a href="/author/Konstan">Joseph A. Konstan</a>, and <a href="/author/Riedl">John Riedl</a> </span><em>WWW, </em><em>page 285-295. </em>(<em>2001</em>)Wed Sep 13 16:48:29 CEST 2006WWW285-295Item-based collaborative filtering recommendation algorithms.2001lecture retrieval ir information advanced dblphttp://www.bibsonomy.org/bibtex/2887f48afcb0104e36e7d755b204cc659/stummestumme2006-09-13T16:47:14+02:00lecture retrieval ir information advanced readings <span class="authorEditorList"><a href="/author/Sparck-Jones">K. Sparck-Jones</a>, and <a href="/author/Willett">P. Willett</a> (Eds.). </span><em>Morgan Kaufmann, </em>(<em>1997</em>)Wed Sep 13 16:47:14 CEST 2006sparck-jones+willett97Readings in Information RetrievalBook1997lecture retrieval ir information advanced readings http://www.bibsonomy.org/bibtex/2b53893655b48140d4310a848dbf204d3/stummestumme2006-09-13T16:20:28+02:00lecture retrieval vorlesung ir information intelligenz standard Information <span class="authorEditorList"><a href="/author/van Rijsbergen">C. J. van Rijsbergen</a> </span><em>Butterworths, </em><em>London, </em><em>2 edition, </em>(<em>1979</em>)Wed Sep 13 16:20:28 CEST 2006London2Information retrieval1979lecture retrieval vorlesung ir information intelligenz standard Information http://www.bibsonomy.org/bibtex/2b60dbc902a2e19877aec154fa5747751/stummestumme2006-09-13T16:17:47+02:00Data lecture information ir data Web Retrieval Information standard mining Mining <span class="authorEditorList"><a href="/author/Ferber">Reginald Ferber</a> </span><em>dpunkt Verlag, </em><em>Heidelberg, </em>(<em>2003</em>)Wed Sep 13 16:17:47 CEST 2006HeidelbergInformation Retrieval: Suchmodelle und Data-Mining-Verfahren für Textsammlungen und das Web2003Data lecture information ir data Web Retrieval Information standard mining Mining http://www.bibsonomy.org/bibtex/216ab70975f635f8d72de82e2ef3ef9de/stummestumme2006-09-13T16:14:09+02:00künstliche lecture retrieval vorlesung ir information intelligenz Retrieval standard Information <span class="authorEditorList"><a href="/author/Baeza-Yates">Ricardo A. Baeza-Yates</a>, and <a href="/author/Ribeiro-Neto">Berthier A. Ribeiro-Neto</a> </span><em>ACM Press / Addison-Wesley, </em>(<em>1999</em>)Wed Sep 13 16:14:09 CEST 2006Modern Information Retrieval1999künstliche lecture retrieval vorlesung ir information intelligenz Retrieval standard Information dblphttp://www.bibsonomy.org/bibtex/228bfb2f51bb8cb7bfb3473f051938fb0/stummestumme2006-05-05T14:15:10+02:00retrieval wsd ir information semantic <span class="authorEditorList"><a href="/author/Voorhees">Ellen M. Voorhees</a> </span><em>SIGIR, </em><em>page 61-69. </em>(<em>1994</em>)Fri May 05 14:15:10 CEST 2006SIGIR61-69Query Expansion Using Lexical-Semantic Relations.1994retrieval wsd ir information semantic dblp