TY - JOUR AU - Benz, Dominik AU - Hotho, Andreas AU - Jäschke, Robert AU - Krause, Beate AU - Stumme, Gerd T1 - Query Logs as Folksonomies JO - Datenbank-Spektrum PY - 2010/06 VL - 10 IS - 1 SP - 15 EP - 24 UR - http://dx.doi.org/10.1007/s13222-010-0004-8 DO - KW - 2010 KW - folksonomies KW - folksonomy KW - info20 KW - itegpub KW - l3s KW - log KW - logs KW - logsonomy KW - myown L1 - SN - N1 - N1 - AB - Query logs provide a valuable resource for preference information in search. A user clicking on a specific resource after submitting a query indicates that the resource has some relevance with respect to the query. To leverage the information ofquery logs, one can relate submitted queries from specific users to their clicked resources and build a tripartite graph ofusers, resources and queries. This graph resembles the folksonomy structure of social bookmarking systems, where users addtags to resources. In this article, we summarize our work on building folksonomies from query log files. The focus is on threecomparative studies of the system’s content, structure and semantics. Our results show that query logs incorporate typicalfolksonomy properties and that approaches to leverage the inherent semantics of folksonomies can be applied to query logsas well. 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 - C1 - PY - 2009/04 CY - VL - IS - SP - 641 EP - 650 UR - http://www2009.eprints.org/65/ DO - KW - 2009 KW - folksonomies KW - itegpub KW - l3s KW - measures KW - myown KW - similarity KW - sitc KW - sna KW - social_similarity KW - sota KW - tag KW - tagging KW - tagorapub KW - www2009 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 - JOUR AU - Jäschke, Robert AU - Hotho, Andreas AU - Schmitz, Christoph AU - Ganter, Bernhard AU - Stumme, Gerd T1 - Discovering Shared Conceptualizations in Folksonomies JO - Journal of Web Semantics PY - 2008/ VL - 6 IS - 1 SP - 38 EP - 53 UR - http://dx.doi.org/10.1016/j.websem.2007.11.004 DO - KW - 2008 KW - analysis KW - bibsonomy KW - concept KW - discovering KW - fca KW - folksonomies KW - formal KW - itegpub KW - l3s KW - myown KW - shared KW - triadic L1 - SN - N1 - N1 - AB - ER - TY - JOUR AU - Jäschke, Robert AU - Hotho, Andreas AU - Schmitz, Christoph AU - Ganter, Bernhard AU - Stumme, Gerd T1 - Discovering Shared Conceptualizations in Folksonomies JO - Journal of Web Semantics PY - 2008/ VL - 6 IS - 1 SP - 38 EP - 53 UR - http://dx.doi.org/10.1016/j.websem.2007.11.004 DO - KW - 2008 KW - FCA KW - OntologyHandbook KW - analysis KW - bibsonomy KW - concept KW - discovering KW - fca KW - folksonomies KW - formal KW - itegpub KW - l3s KW - myown KW - shared KW - triadic L1 - SN - N1 - N1 - AB - ER - TY - JOUR AU - Cattuto, Ciro AU - Schmitz, Christoph AU - Baldassarri, Andrea AU - Servedio, Vito D. P. AU - Loreto, Vittorio AU - Hotho, Andreas AU - Grahl, Miranda AU - Stumme, Gerd T1 - Network Properties of Folksonomies JO - AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering'' PY - 2007/ VL - 20 IS - 4 SP - 245 EP - 262 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2007/cattuto2007network.pdf DO - KW - 2007 KW - emergent KW - fca KW - folksonomies KW - folksonomy KW - itegpub KW - l3s KW - myown KW - network KW - semantics KW - tagorapub L1 - SN - N1 - N1 - AB - ER - TY - JOUR AU - Cattuto, Ciro AU - Schmitz, Christoph AU - Baldassarri, Andrea AU - Servedio, Vito D. P. AU - Loreto, Vittorio AU - Hotho, Andreas AU - Grahl, Miranda AU - Stumme, Gerd T1 - Network Properties of Folksonomies JO - AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering'' PY - 2007/ VL - 20 IS - 4 SP - 245 EP - 262 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2007/cattuto2007network.pdf DO - KW - 2007 KW - semantics KW - emergent KW - folksonomy KW - tagorapub KW - folksonomies KW - l3s KW - network KW - itegpub KW - fca L1 - SN - N1 - See http://www.bibsonomy.org/bibtex/2e1a5234a896b1f422473b1fe5d91e26b/stumme for a shorter workshop version. N1 - AB - ER - TY - JOUR AU - Cattuto, Ciro AU - Schmitz, Christoph AU - Baldassarri, Andrea AU - Servedio, Vito D. P. AU - Loreto, Vittorio AU - Hotho, Andreas AU - Grahl, Miranda AU - Stumme, Gerd T1 - Network Properties of Folksonomies JO - AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering'' PY - 2007/ VL - 20 IS - 4 SP - 245 EP - 262 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2007/cattuto2007network.pdf DO - KW - 2007 KW - emergent KW - fca KW - folksonomies KW - folksonomy KW - itegpub KW - l3s KW - myown KW - network KW - semantics KW - seminar2009 KW - tagorapub L1 - SN - N1 - Publications of Gerd Stumme N1 - AB - ER - TY - CONF AU - Jäschke, Robert AU - Marinho, Leandro Balby AU - Hotho, Andreas AU - Schmidt-Thieme, Lars AU - Stumme, Gerd A2 - Kok, Joost N. A2 - Koronacki, Jacek A2 - de Mántaras, Ramon López A2 - Matwin, Stan A2 - Mladenic, Dunja A2 - Skowron, Andrzej T1 - Tag Recommendations in Folksonomies T2 - Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases PB - Springer C1 - Berlin, Heidelberg PY - 2007/ CY - VL - 4702 IS - SP - 506 EP - 514 UR - http://dx.doi.org/10.1007/978-3-540-74976-9_52 DO - KW - 2007 KW - FolkRank KW - Folksonomies KW - Recommendations KW - folksonomies KW - itegpub KW - l3s KW - myown KW - nepomuk KW - ranking KW - recommendations KW - tagging L1 - SN - 978-3-540-74975-2 N1 - N1 - AB - Collaborative tagging systems allow users to assign keywords—so called “tags”—to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. In practice, however, only very basic recommendation strategies are applied.

In this paper we evaluate and compare two recommendation algorithms on largescale real life datasets: an adaptation of user-based collaborative filtering and a graph-based recommender built on top of FolkRank. We show that both provide better results than non-personalized baseline methods. Especially the graph-based recommender outperforms existing methods considerably. ER - TY - CONF AU - Jäschke, Robert AU - Marinho, Leandro Balby AU - Hotho, Andreas AU - Schmidt-Thieme, Lars AU - Stumme, Gerd A2 - Kok, Joost N. A2 - Koronacki, Jacek A2 - de Mántaras, Ramon López A2 - Matwin, Stan A2 - Mladenic, Dunja A2 - Skowron, Andrzej T1 - Tag Recommendations in Folksonomies T2 - Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases PB - Springer C1 - Berlin, Heidelberg PY - 2007/ CY - VL - 4702 IS - SP - 506 EP - 514 UR - http://dx.doi.org/10.1007/978-3-540-74976-9_52 DO - KW - 2007 KW - FolkRank KW - Folksonomies KW - Recommendations KW - folksonomies KW - itegpub KW - l3s KW - myown KW - nepomuk KW - ranking KW - recommendations KW - tagging L1 - SN - 978-3-540-74975-2 N1 - N1 - AB - Collaborative tagging systems allow users to assign keywords—so called “tags”—to resources. Tags are used for navigation, finding resources and serendipitous browsing and thus provide an immediate benefit for users. These systems usually include tag recommendation mechanisms easing the process of finding good tags for a resource, but also consolidating the tag vocabulary across users. In practice, however, only very basic recommendation strategies are applied.

In this paper we evaluate and compare two recommendation algorithms on largescale real life datasets: an adaptation of user-based collaborative filtering and a graph-based recommender built on top of FolkRank. We show that both provide better results than non-personalized baseline methods. Especially the graph-based recommender outperforms existing methods considerably. ER - TY - CONF AU - Schmitz, Christoph AU - Hotho, Andreas AU - Jäschke, Robert AU - Stumme, Gerd A2 - Batagelj, V. A2 - Bock, H.-H. A2 - Ferligoj, A. A2 - Žiberna, A. T1 - Mining Association Rules in Folksonomies T2 - Data Science and Classification. Proceedings of the 10th IFCS Conf. PB - Springer C1 - Heidelberg PY - 2006/07 CY - VL - IS - SP - 261 EP - 270 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2006/schmitz2006mining.pdf DO - KW - 2006 KW - analysis KW - fca KW - folksonomies KW - folksonomy KW - l3s KW - myown KW - nepomuk KW - network KW - semantic L1 - SN - N1 - Publications of Gerd Stumme N1 - AB - Social bookmark tools are rapidly emerging on the Web. In such

systems users are setting up lightweight conceptual structures

called folksonomies. These systems provide currently relatively few

structure. We discuss in this paper, how association rule mining

can be adopted to analyze and structure folksonomies, and how the results can be used

for ontology learning and supporting emergent semantics. We

demonstrate our approach on a large scale dataset stemming from an

online system. ER - TY - CONF AU - Stumme, Gerd A2 - Ganter, Bernhard A2 - Godin, Robert T1 - A Finite State Model for On-Line Analytical Processing in

Triadic Contexts T2 - Proc. 3rd Intl. Conf. on Formal Concept Analysis PB - Springer C1 - Heidelberg PY - 2005/ CY - VL - 3403 IS - SP - 315 EP - 328 UR - http://www.kde.cs.uni-kassel.de/stumme/papers/2005/stumme2005finite.pdf DO - KW - 2005 KW - fca KW - folksonomies KW - itegpub KW - l3s KW - myown KW - olap KW - triadic L1 - SN - 3-540-24525-1 N1 - Publications of Gerd Stumme N1 - AB - ER -