TY - CONF AU - Atzmueller, Martin AU - Lemmerich, Florian AU - Krause, Beate AU - Hotho, Andreas A2 - Knobbe, Johannes Fürnkranz Arno T1 - Towards Understanding Spammers - Discovering Local Patterns for Concept Characterization and Description T2 - Proc. LeGo-09: From Local Patterns to Global Models, Workshop at the 2009 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases PB - CY - PY - 2009/ M2 - VL - IS - SP - EP - UR - http://www.ke.tu-darmstadt.de/events/LeGo-09/04-Atzmueller.pdf M3 - KW - 2009 KW - bibsonomy KW - discovery KW - dm KW - myown KW - spam KW - subgroup L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Atzmueller, Martin AU - Lemmerich, Florian AU - Krause, Beate AU - Hotho, Andreas A2 - T1 - Who are the Spammers? Understandable Local Patterns for Concept Description T2 - 7th Conference on Computer Methods and Systems PB - CY - Krakow, Poland PY - 2009/november M2 - VL - IS - SP - EP - UR - http://www.cms.agh.edu.pl/ M3 - KW - 2009 KW - bibsonomy KW - discovery KW - dm KW - myown KW - spam KW - subgroup L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Benz, Dominik AU - Krause, Beate AU - Kumar, G. Praveen AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - Characterizing Semantic Relatedness of Search Query Terms T2 - Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009) PB - CY - Bled, Slovenia PY - 2009/10 M2 - VL - IS - SP - EP - UR - M3 - KW - 2009 KW - ecml KW - measures KW - myown KW - pkdd KW - similarity KW - workshop L1 - SN - N1 - N1 - AB - ER - TY - CONF AU - Benz, Dominik AU - Eisterlehner, Folke AU - Hotho, Andreas AU - Jäschke, Robert AU - Krause, Beate AU - Stumme, Gerd A2 - Cattuto, Ciro A2 - Ruffo, Giancarlo A2 - Menczer, Filippo T1 - Managing publications and bookmarks with BibSonomy T2 - HT '09: Proceedings of the 20th ACM Conference on Hypertext and Hypermedia PB - ACM CY - New York, NY, USA PY - 2009/06 M2 - VL - IS - SP - 323 EP - 324 UR - http://portal.acm.org/citation.cfm?doid=1557914.1557969# M3 - 10.1145/1557914.1557969 KW - 2009 KW - bibsonomy KW - ht09 KW - myown L1 - SN - 978-1-60558-486-7 N1 - N1 - AB - In this demo we present BibSonomy, a social bookmark and publication sharing system. ER - TY - GEN AU - A2 - Eisterlehner, Folke A2 - Hotho, Andreas A2 - Jäschke, Robert T1 - ECML PKDD Discovery Challenge 2009 (DC09) JO - PB - AD - PY - 2009/10 VL - 497 IS - SP - EP - UR - http://ceur-ws.org/Vol-497 M3 - KW - 2009 KW - challenge KW - conference KW - dc09 KW - ecml KW - myown KW - pkdd L1 - N1 - N1 - AB - ER - TY - CHAP AU - Hotho, Andreas AU - Jäschke, Robert AU - Benz, Dominik AU - Grahl, Miranda AU - Krause, Beate AU - Schmitz, Christoph AU - Stumme, Gerd A2 - Blumauer, Andreas A2 - Pellegrini, Tassilo T1 - Social Bookmarking am Beispiel BibSonomy T2 - Social Semantic Web PB - Springer CY - Berlin, Heidelberg PY - 2009/ VL - IS - SP - 363 EP - 391 UR - http://dx.doi.org/10.1007/978-3-540-72216-8_18 M3 - 10.1007/978-3-540-72216-8 KW - 2009 KW - bibsonomy KW - bookmarking KW - myown KW - social KW - tagorapub L1 - SN - 978-3-540-72215-1 N1 - SpringerLink - Buchkapitel N1 - AB - BibSonomy ist ein kooperatives Verschlagwortungssystem (Social Bookmarking System), betrieben vom Fachgebiet Wissensverarbeitung

der Universität Kassel. Es erlaubt das Speichern und Organisieren von Web-Lesezeichen und Metadaten für wissenschaftlichePublikationen. In diesem Beitrag beschreiben wir die von BibSonomy bereitgestellte Funktionalität, die dahinter stehende Architektursowie das zugrunde liegende Datenmodell. Ferner erläutern wir Anwendungsbeispiele und gehen auf Methoden zur Analyse der in BibSonomy und ähnlichen Systemen enthaltenen Daten ein. ER - TY - CONF AU - Jäschke, Robert AU - Eisterlehner, Folke AU - Hotho, Andreas AU - Stumme, Gerd A2 - Benz, Dominik A2 - Janssen, Frederik T1 - Testing and Evaluating Tag Recommenders in a Live System T2 - Workshop on Knowledge Discovery, Data Mining, and Machine Learning PB - CY - PY - 2009/10 M2 - VL - IS - SP - 44 EP - 51 UR - http://lwa09.informatik.tu-darmstadt.de/pub/KDML/WebHome/kdml09_R.Jaeschke_et_al.pdf M3 - KW - 2009 KW - bibsonomy KW - folksonomy KW - framework KW - myown KW - recommender KW - tagging KW - taggingsurvey L1 - SN - N1 - N1 - AB - The challenge to provide tag recommendations for collaborative tagging systems has attracted quite some attention of researchers lately. However, most research focused on evaluation and development of appropriate methods rather than tackling the practical challenges of how to integrate recommendation methods into real tagging systems, record and evaluate their performance. In this paper we describe the tag recommendation framework we developed for our social bookmark and publication sharing system BibSonomy. With the intention to develop, test, and evaluate recommendation algorithms and supporting cooperation with researchers, we designed the framework to be easily extensible, open for a variety of methods, and usable independent from BibSonomy. Furthermore, this paper presents an evaluation of two exemplarily deployed recommendation methods, demonstrating the power of the framework. ER - TY - CONF AU - Markines, Benjamin AU - Cattuto, Ciro AU - Menczer, Filippo AU - Benz, Dominik AU - Hotho, Andreas AU - Stumme, Gerd A2 - T1 - Evaluating Similarity Measures for Emergent Semantics of Social Tagging T2 - 18th International World Wide Web Conference PB - CY - PY - 2009/04 M2 - VL - IS - SP - 641 EP - 641 UR - http://www2009.eprints.org/65/ M3 - KW - 2009 KW - measure KW - myown KW - semantics KW - similarity KW - social KW - tagging KW - taggingsurvey KW - tagorapub L1 - SN - N1 - N1 - AB - Social bookmarking systems and their emergent information structures, known as folksonomies, are increasingly important data sources for Semantic Web applications. A key question for harvesting semantics from these systems is how to extend and adapt traditional notions of similarity to folksonomies, and which measures are best suited for applications such as navigation support, semantic search, and ontology learning. Here we build an evaluation framework to compare various general folksonomy-based similarity measures derived from established information-theoretic, statistical, and practical measures. Our framework deals generally and symmetrically with users, tags, and resources. For evaluation purposes we focus on similarity among tags and resources, considering different ways to aggregate annotations across users. After comparing how tag similarity measures predict user-created tag relations, we provide an external grounding by user-validated semantic proxies based on WordNet and the Open Directory. We also investigate the issue of scalability. We ?nd that mutual information with distributional micro-aggregation across users yields the highest accuracy, but is not scalable; per-user projection with collaborative aggregation provides the best scalable approach via incremental computations. The results are consistent across resource and tag similarity. ER - TY - CONF AU - Voss, Jakob AU - Hotho, Andreas AU - Jäschke, Robert A2 - Kuhlen, Rainer T1 - Mapping Bibliographic Records with Bibliographic Hash Keys T2 - Information: Droge, Ware oder Commons? PB - Verlag Werner Hülsbusch CY - PY - 2009/ M2 - VL - IS - SP - EP - UR - http://eprints.rclis.org/15953/ M3 - KW - 2009 KW - duplicate KW - fingerprint KW - hash KW - iteg KW - mapping KW - myown KW - tagorapub L1 - SN - N1 - N1 - AB - This poster presents a set of hash keys for bibliographic records called bibkeys. Unlike other methods of duplicate detection, bibkeys can directly be calculated from a set of basic metadata fields (title, authors/editors, year). It is shown how bibkeys are used to map similar bibliographic records in BibSonomy and among distributed library catalogs and other distributed databases. ER -