http://www.bibsonomy.org/burst/user/dbenz/toreadBibSonomy BuRST Feed for /user/dbenz/toread2008-08-21T13:22:23+02:00http://www.bibsonomy.org/bibtex/2223e87ba95a6354fb53137632bf1ba52/dbenzdbenz2008-07-28T15:48:11+02:00toread folksonomy ontology <span style="color:#555555;">Mathias <a href="http://www.bibsonomy.org/author/Lux">Lux</a> and Gisela <a href="http://www.bibsonomy.org/author/Dösinger">D&#246;singer</a> </span><em>International Journal of Knowledge and Learning (IJKL)</em><em>3(4/5):515-528</em>(<em>2007</em>) <em>ISSN (Online): 1741-1017 ISSN (Print): 1741-1009 . </em>Mon Jul 28 15:48:11 CEST 2008International Journal of Knowledge and Learning (IJKL)ISSN (Online): 1741-1017 ISSN (Print): 1741-10094/5515-528From Folksonomies to Ontologies: Employing Wisdom of the Crowds to Serve Learning Purposes32007toread folksonomy ontology Is Web 2.0 just hype or just a buzzword, which might disappear in the near future? One way to find answers to these questions is to investigate the actual benefit of the Web 2.0 for real use cases. Within this contribution we study a very special aspect of the Web 2.0 – the folksonomy – and its use within self-directed learning. Guided by conceptual principles of emergent computing we point out methods, which might be able to let semantics emerge from folksonomies and discuss the effect of the results in self-directed learning.http://www.bibsonomy.org/bibtex/2f1a145a60c3e4d39e91b39a7c1178110/dbenzdbenz2008-07-17T10:36:27+02:00toread extract social-networks resources relations folksonomy <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 Contexts2006toread extract social-networks resources relations folksonomy http://www.bibsonomy.org/bibtex/248417fa551e51439159e5fdd575825df/dbenzdbenz2008-04-14T09:52:08+02:00evaluation clustering toread <span style="color:#555555;">Daniel <a href="http://www.bibsonomy.org/author/Delling">Delling</a> and Marco <a href="http://www.bibsonomy.org/author/Gaertler">Gaertler</a> and Robert <a href="http://www.bibsonomy.org/author/G{\&#034;o}rke">G&#246;rke</a> and Dorothea <a href="http://www.bibsonomy.org/author/Wagner">Wagner</a> </span><em>Proceedings of the European Conference of Complex Systems (ECCS'07), </em><em>October2007. </em><em>as poster . </em>Mon Apr 14 09:52:08 CEST 2008Proceedings of the European Conference of Complex Systems (ECCS'07)Octoberas posterEngineering Comparators for Graph Clusterings2007evaluation clustering toread http://www.bibsonomy.org/bibtex/2fa6b1f4966b69da84f9582c2aba82cab/dbenzdbenz2008-04-14T09:50:46+02:00evaluation clustering toread <span style="color:#555555;">Daniel <a href="http://www.bibsonomy.org/author/Delling">Delling</a> and Marco <a href="http://www.bibsonomy.org/author/Gaertler">Gaertler</a> and Robert <a href="http://www.bibsonomy.org/author/G{\&#034;o}rke">G&#246;rke</a> and Zoran <a href="http://www.bibsonomy.org/author/Nikoloski">Nikoloski</a> and Dorothea <a href="http://www.bibsonomy.org/author/Wagner">Wagner</a> </span><em>Proceedings of the European Conference of Complex Systems (ECCS'07), </em><em>October2007. </em><em>as poster . </em>Mon Apr 14 09:50:46 CEST 2008Proceedings of the European Conference of Complex Systems (ECCS'07)Octoberas posterEngineering the Evaluation of Clustering Techniques2007evaluation clustering toread SpringerLink - Journal Articlehttp://www.bibsonomy.org/bibtex/20fa339fd6b43c77beda39bf0feeac3f8/dbenzdbenz2008-04-14T09:45:34+02:00toread taxonomy_learning scientific_disciplines <span style="color:#555555;">David <a href="http://www.bibsonomy.org/author/Chavalarias">Chavalarias</a> and Jean-Philippe <a href="http://www.bibsonomy.org/author/Cointet">Cointet</a> </span><em>Scientometrics</em><em>75(1):37--50</em><em>#apr#2008. </em>Mon Apr 14 09:45:34 CEST 2008Scientometrics#apr#137--50Bottom-up scientific field detection for dynamical and hierarchical science mapping, methodology and case study752008toread taxonomy_learning scientific_disciplines Abstract&nbsp;&nbsp;We propose new methods to detect paradigmatic fields through simple statistics over a scientific content database. We propose an asymmetric paradigmatic proximity metric between terms which provide insight into hierarchical structure of scientific activity and test our methods on a case studywith a database made of several millions of resources. We also propose overlapping categorization to describe paradigmaticfields as sets of terms that may have several different usages. Terms can also be dynamically clustered providing a high-leveldescription of the evolution of the paradigmatic fields.http://www.bibsonomy.org/bibtex/2b8e32c1b2bcecd81661b2784cae02975/dbenzdbenz2008-04-14T09:40:21+02:00centrality community_detection network toread <span style="color:#555555;"> </span><em>Proceedings of the European Conference of Complex Systems (ECCS'07), </em>(<em>2007</em>)Mon Apr 14 09:40:21 CEST 2008Proceedings of the European Conference of Complex Systems (ECCS'07)Centrality properties of directed module members in social networks2007centrality community_detection network toread Vocabulary growth in collaborative tagging systemshttp://www.bibsonomy.org/bibtex/2fb163dd424fa1eb40640340f27ee0ea4/dbenzdbenz2008-04-14T09:35:08+02:00analysis folksonomy vocabulary toread <span style="color:#555555;">Ciro <a href="http://www.bibsonomy.org/author/Cattuto">Cattuto</a> and Andrea <a href="http://www.bibsonomy.org/author/Baldassarri">Baldassarri</a> and Vito D. P. <a href="http://www.bibsonomy.org/author/Servedio">Servedio</a> and Vittorio <a href="http://www.bibsonomy.org/author/Loreto">Loreto</a> </span>(<em>2007</em>)Mon Apr 14 09:35:08 CEST 2008Vocabulary growth in collaborative tagging systems2007analysis folksonomy vocabulary toread We analyze a large-scale snapshot of del.icio.us and investigate how the number of different tags in the system grows as a function of a suitably defined notion of time. We study the temporal evolution of the global vocabulary size, i.e. the number of distinct tags in the entire system, as well as the evolution of local vocabularies, that is the growth of the number of distinct tags used in the context of a given resource or user. In both cases, we find power-law behaviors with exponents smaller than one. Surprisingly, the observed growth behaviors are remarkably regular throughout the entire history of the system and across very different resources being bookmarked. Similar sub-linear laws of growth have been observed in written text, and this qualitative universality calls for an explanation and points in the direction of non-trivial cognitive processes in the complex interaction patterns characterizing collaborative tagging.Taxonomy and clustering in collaborative systems: the case of the on-line encyclopedia Wikipediahttp://www.bibsonomy.org/bibtex/29c69bc97d22b7e5c2d90d8765b491a16/dbenzdbenz2008-04-14T09:27:59+02:00toread taxonomy comparison wikipedia clustering <span style="color:#555555;">A. <a href="http://www.bibsonomy.org/author/Capocci">Capocci</a> and F. <a href="http://www.bibsonomy.org/author/Rao">Rao</a> and G. <a href="http://www.bibsonomy.org/author/Caldarelli">Caldarelli</a> </span>(<em>2007</em>)Mon Apr 14 09:27:59 CEST 2008Taxonomy and clustering in collaborative systems: the case of the on-line encyclopedia Wikipedia2007toread taxonomy comparison wikipedia clustering In this paper we investigate the nature and structure of the relation between imposed classifications and real clustering in a particular case of a scale-free network given by the on-line encyclopedia Wikipedia. We find a statistical similarity in the distributions of community sizes both by using the top-down approach of the categories division present in the archive and in the bottom-up procedure of community detection given by an algorithm based on the spectral properties of the graph. Regardless the statistically similar behaviour the two methods provide a rather different division of the articles, thereby signaling that the nature and presence of power laws is a general feature for these systems and cannot be used as a benchmark to evaluate the suitability of a clustering method.Studienarbeithttp://www.bibsonomy.org/bibtex/25e435837b927c84585bd98a76f751669/dbenzdbenz2008-01-04T17:47:15+01:00toread <span style="color:#555555;">Jakob <a href="http://www.bibsonomy.org/author/Voß">Vo&#223;</a> and Hans <a href="http://www.bibsonomy.org/author/\&#034;Osterle">&#214;sterle</a> </span>(<em>2003</em>)Fri Jan 04 17:47:15 CET 2008Begriffssysteme2003toread Begriffssysteme tauchen als Thesauri, Klassifikationen, Nachschlagewerke, Begriffsnetze, Ontologien etc. in verschiedenen Fachwissenschaften zur Ordnung und Repräsentation von Wissen auf. Diese Arbeit gibt einen Überblick über die verschiedenen Arten von Begriffssystemen und ihre Bestandteile. Dies sind im wesentlichen Begriffe, Bezeichnungen und Relationen. Die häufigsten Bestandteile und ihre Anwendungsfälle werden erklärt, darunter die Terminologische Kontrolle, Begriffskombination, Notationen, die wichtigsten Relationsarten und Regeln sowie natürlich sprachliche Anteile. Es werden verschiedene Datenformate für Begriffssysteme vorgestellt. Die gemeinsamen Strukturen und Bestandteile verschiedener Begriffssysteme werden in dem gemeinsamen Datenmodell „Thema“ zusammengefasst, das anhand einer XML-Repräsentation des Modells erläutert wird.ECS EPrints Service - Exploring The Value Of Folksonomies For Creating Semantic Metadatahttp://www.bibsonomy.org/bibtex/2c058fbfdcb787b442c8515bc9a87b8f6/dbenzdbenz2007-10-06T18:15:18+02:00metadata toread comparison folksonomy <span style="color:#555555;">Hend S. <a href="http://www.bibsonomy.org/author/Al-Khalifa">Al-Khalifa</a> and Hugh C. <a href="http://www.bibsonomy.org/author/Davis">Davis</a> </span>(<em>2007</em>)Sat Oct 06 18:15:18 CEST 2007Exploring The Value Of Folksonomies For Creating Semantic Metadata2007metadata toread comparison folksonomy Tag Boosterhttp://www.bibsonomy.org/bibtex/21af9877eebe38cdedc6578967ae76d8a/dbenzdbenz2007-10-05T18:29:16+02:00toread <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Vojnovic">Vojnovic</a> and J. <a href="http://www.bibsonomy.org/author/Cruise">Cruise</a> and D. <a href="http://www.bibsonomy.org/author/Gunawardena">Gunawardena</a> and P. <a href="http://www.bibsonomy.org/author/Marbach">Marbach</a> </span>(<em>2007</em>)Fri Oct 05 18:29:16 CEST 2007MSR-TR-2007-06Ranking and Suggesting Tags in Collaborative Tagging Applications2007toread http://www.bibsonomy.org/bibtex/28800fc1a639aeb43fd55598d2410e2e1/dbenzdbenz2007-09-29T15:16:09+02:00toread <span style="color:#555555;">Lucia <a href="http://www.bibsonomy.org/author/Specia">Specia</a> and Enrico <a href="http://www.bibsonomy.org/author/Motta">Motta</a> </span><em>volume4519/2007ofLecture Notes in Computer Science, </em><em>page624-639. </em><em>Springer Berlin / Heidelberg, </em>(<em>2007</em>)Sat Sep 29 15:16:09 CEST 2007624-639Lecture Notes in Computer ScienceIntegrating Folksonomies with the Semantic Web4519/20072007toread While tags in collaborative tagging systems serve primarily an indexing purpose, facilitating search and navigation of resources, the use of the same tags by more than one individual can yield a collective classification schema. We present an approach for making explicit the semantics behind the tag space in social tagging systems, so that this collaborative organization can emerge in the form of groups of concepts and partial ontologies. This is achieved by using a combination of shallow pre-processing strategies and statistical techniques together with knowledge provided by ontologies available on the semantic web. Preliminary results on the del.icio.us and Flickr tag sets show that the approach is very promising: it generates clusters with highly related tags corresponding to concepts in ontologies and meaningful relationships among subsets of these tags can be identified.http://www.bibsonomy.org/bibtex/2e618c6fd8ec3f0f7173a51d00c0a7e69/dbenzdbenz2007-09-26T09:01:35+02:00toread ontology_maturing <span style="color:#555555;">Simone <a href="http://www.bibsonomy.org/author/Braun">Braun</a> and Andreas <a href="http://www.bibsonomy.org/author/Schmidt">Schmidt</a> and Andreas <a href="http://www.bibsonomy.org/author/Walter">Walter</a> and Valentin <a href="http://www.bibsonomy.org/author/Zacharias">Zacharias</a> </span><em>IInternational Workshop on Emergent Semantics and Ontology Evolution (ESOE), 6th International Semantic Web Conference (ISWC 2007), </em>(<em>2007</em>)Wed Sep 26 09:01:35 CEST 2007IInternational Workshop on Emergent Semantics and Ontology Evolution (ESOE), 6th International Semantic Web Conference (ISWC 2007)The Ontology Maturing Approach to Collaborative and Work-Integrated Ontology Development: Evaluation Results and Future Directions2007toread ontology_maturing Ontology maturing as a conceptual process model is based on the assumption that ontology engineering is a continuous collaborative and informal learning process and always embedded in tasks that make use of the ontology to be developed. For supporting ontology maturing, we need lightweight and easy-to-use tools integrating usage and construction processes of ontologies. Within two applications – ImageNotion for semantic annotation of images and SOBOLEO for semantically enriched social bookmarking – we have shown that such ontology maturing support is feasible with the help of Web 2.0 technologies. In this paper, we want to present the conclusions from two evaluation sessions with end users and summarize requirements for further development.http://www.bibsonomy.org/bibtex/25712e57b4fbdd5e837e860f61744ac62/dbenzdbenz2007-09-15T12:56:14+02:00toread <span style="color:#555555;">Simone <a href="http://www.bibsonomy.org/author/Braun">Braun</a> and Andreas <a href="http://www.bibsonomy.org/author/Schmidt">Schmidt</a> and Valentin <a href="http://www.bibsonomy.org/author/Zacharias">Zacharias</a> </span><em>Mensch \&amp; Computer - 7. Fach&#252;bergreifende Konferenz - M\&amp;C 2007, </em><em>page209-218. </em><em>M&#252;nchen, </em><em>Oldenbourg Verlag, </em>(<em>2007</em>)Sat Sep 15 12:56:14 CEST 2007MünchenMensch \& Computer - 7. Fachübergreifende Konferenz - M\&C 2007209-218SOBOLEO: vom kollaborativen Tagging zur leichtgewichtigen Ontologie2007toread Bisher gibt es kein integriertes Werkzeug, das sowohl die kollaborative Erstellung eines Indexes relevanter Internetressourcen („Social Bookmarking“) als auch einer gemeinsamen Ontologie, die zur Organisation des Indexes genutzt wird, integriert unterstützt. Derzeitige Werkzeuge gestatten entweder die Erstellung einer Ontologie oder die Strukturierung von Ressourcen entsprechend einer vorgegebenen, unveränderlichen Ontologie bzw. ganz ohne jegliche Struktur. In dieser Arbeit zeigen wir, wie sich kollaboratives Tagging und kollaborative Ontologieentwicklung vereinen lassen, so dass jeweilige Schwächen vermieden werden und die Stärken einander ergänzen. Wir präsentieren SOBOLEO, ein System, das kollaborativ und web-basiert die Erstellung, Erweiterung und Pflege von Ontologien und gemeinsamer Lesezeichensammlung ermöglicht und gleichzeitig die Annotierung von Internetressourcen mit Konzepten aus der erstellten Ontologie unterstützt.The two cultureshttp://www.bibsonomy.org/bibtex/26b493ae653fcff556997f30273d766b9/dbenzdbenz2007-08-05T16:27:33+02:00toread toget web2.0 mashup semantic_web <span style="color:#555555;">Anupriya <a href="http://www.bibsonomy.org/author/Ankolekar">Ankolekar</a> and Markus <a href="http://www.bibsonomy.org/author/Krötzsch">Kr&#246;tzsch</a> and Thanh <a href="http://www.bibsonomy.org/author/Tran">Tran</a> and Denny <a href="http://www.bibsonomy.org/author/Vrandecic">Vrandecic</a> </span><em>WWW '07: Proceedings of the 16th international conference on World Wide Web, </em><em>page825--834. </em><em>New York, NY, USA, </em><em>ACM Press, </em>(<em>2007</em>)Sun Aug 05 16:27:33 CEST 2007New York, NY, USAWWW '07: Proceedings of the 16th international conference on World Wide Web825--834The two cultures: mashing up web 2.0 and the semantic web2007toread toget web2.0 mashup semantic_web Recommendation as Classification: Using Social and Content-Based Information in Recommendation - Basu, Hirsh, Cohen (ResearchIndex)http://www.bibsonomy.org/bibtex/213f025ad211549dea762719728b19997/dbenzdbenz2007-07-24T14:23:27+02:00toread <span style="color:#555555;">Chumki <a href="http://www.bibsonomy.org/author/Basu">Basu</a> and Haym <a href="http://www.bibsonomy.org/author/Hirsh">Hirsh</a> and William W. <a href="http://www.bibsonomy.org/author/Cohen">Cohen</a> </span><em>AAAI/IAAI, </em><em>page714-720. </em>(<em>1998</em>) <em>hallo miranda-note! . </em>Tue Jul 24 14:23:27 CEST 2007{AAAI}/{IAAI}hallo miranda-note!714-720Recommendation as Classification: Using Social and Content-Based Information in Recommendation1998toread