@article{strohmaier2011evaluation, author = {Strohmaier, Markus and Helic, Denis and Benz, Dominik and Körner, Christian and Kern, Roman}, interhash = {87e110b0ade230877db6855cacabcb4d}, intrahash = {603161eb4c5b2f87f3d3a50f87015337}, journal = {Transactions on Intelligent Systems and Technology}, title = {Evaluation of Folksonomy Induction Algorithms}, url = {http://tist.acm.org/index.html}, vgwort = {43}, year = 2012 } @inproceedings{jaeschke2007tag, abstract = {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.}, address = {Berlin, Heidelberg}, author = {Jäschke, Robert and Marinho, Leandro Balby and Hotho, Andreas and Schmidt-Thieme, Lars and Stumme, Gerd}, booktitle = {Knowledge Discovery in Databases: PKDD 2007, 11th European Conference on Principles and Practice of Knowledge Discovery in Databases}, editor = {Kok, Joost N. and Koronacki, Jacek and de Mántaras, Ramon López and Matwin, Stan and Mladenic, Dunja and Skowron, Andrzej}, ee = {http://dx.doi.org/10.1007/978-3-540-74976-9_52}, interhash = {7e212e3bac146d406035adebff248371}, intrahash = {bb8ecec699a2f129322fe334747c6aef}, isbn = {978-3-540-74975-2}, pages = {506-514}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, title = {Tag Recommendations in Folksonomies}, url = {http://dx.doi.org/10.1007/978-3-540-74976-9_52}, volume = 4702, year = 2007 } @article{jaeschke08discovering, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd}, interhash = {cfca594f9dbe30694bfbcdeb40dc4e88}, intrahash = {eb0bdaeab0aa5d4c528c97e2b10770b9}, journal = {Journal of Web Semantics}, number = 1, pages = {38-53}, title = {Discovering Shared Conceptualizations in Folksonomies}, url = {http://dx.doi.org/10.1016/j.websem.2007.11.004}, volume = 6, year = 2008 } @inproceedings{jaeschke06trias, address = {Hong Kong}, author = {Jäschke, Robert and Hotho, Andreas and Schmitz, Christoph and Ganter, Bernhard and Stumme, Gerd}, booktitle = {Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 06)}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.162}, interhash = {b4964c3bdd2991a80873d7080ef6a73e}, intrahash = {e387c294129e11f4221514d5fa807e26}, isbn = {0-7695-2701-9}, issn = {1550-4786}, month = {December}, pages = {907-911}, publisher = {IEEE Computer Society}, title = {TRIAS - An Algorithm for Mining Iceberg Tri-Lattices}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2006/jaeschke2006trias.pdf}, vgwort = {19}, year = 2006 } @inproceedings{grahl07conceptualKdml, author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd}, booktitle = {Workshop Proceedings of Lernen -- Wissensentdeckung -- Adaptivität (LWA 2007)}, editor = {Hinneburg, Alexander}, interhash = {9c3bb05456bf11bcd88a1135de51f7d9}, intrahash = {6d5188d66564fe4ed7386e28868504de}, isbn = {978-3-86010-907-6}, month = sep, pages = {50-54}, publisher = {Martin-Luther-Universität Halle-Wittenberg}, title = {Conceptual Clustering of Social Bookmark Sites}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2007/kdml_recommender_final.pdf}, vgwort = {14}, year = 2007 } @inproceedings{jaeschke2008logsonomy, abstract = {In social bookmarking systems users describe bookmarksby keywords called tags. The structure behindthese social systems, called folksonomies, can beviewed as a tripartite hypergraph of user, tag and resourcenodes. This underlying network shows specificstructural properties that explain its growth and the possibilityof serendipitous exploration.Search engines filter the vast information of the web.Queries describe a user’s information need. In responseto the displayed results of the search engine, users clickon the links of the result page as they expect the answerto be of relevance. The clickdata can be represented as afolksonomy in which queries are descriptions of clickedURLs. This poster analyzes the topological characteristicsof the resulting tripartite hypergraph of queries,users and bookmarks of two query logs and compares ittwo a snapshot of the folksonomy del.icio.us.}, author = {Jäschke, Robert and Krause, Beate and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proceedings of the Second International Conference on Weblogs and Social Media(ICWSM 2008)}, interhash = {13ec3f45fc7e0364cdc6b9a7c12c5c2c}, intrahash = {359e1eccdc524334d4a2ad51330f76ae}, publisher = {AAAI Press}, title = {Logsonomy -- A Search Engine Folksonomy}, url = {http://www.kde.cs.uni-kassel.de/hotho/pub/2008/Krause2008logsonomy_short.pdf}, year = 2008 } @inproceedings{grahl2007conceptuala, abstract = {Currently, social bookmarking systems provide intuitive support for browsing locally their content. A global view is usually presented by the tag cloud of thesystem, but it does not allow a conceptual drill-down, e. g., along a conceptual hierarchy. In this paper, we present a clustering approach for computing such a conceptual hierarchy for a given folksonomy. The hierarchy is complemented with ranked lists of users and resources most related to each cluster. The rankings are computed using our FolkRank algorithm. We have evaluated our approach on large scale data from the del.icio.us bookmarking system.}, address = {Graz, Austria}, author = {Grahl, Miranda and Hotho, Andreas and Stumme, Gerd}, booktitle = {7th International Conference on Knowledge Management (I-KNOW '07)}, interhash = {5cf58d2fdd3c17f0b0c54ce098ff5b60}, intrahash = {334d3ab11400c4a3ea3ed5b1e95c1855}, issn = {0948-695x}, month = {September}, pages = {356-364}, publisher = {Know-Center}, title = {Conceptual Clustering of Social Bookmarking Sites}, url = {http://www.tagora-project.eu/wp-content/2007/06/grahl_iknow07.pdf}, year = 2007 } @article{cattuto2007networkb, author = {Cattuto, Ciro and Schmitz, Christoph and Baldassarri, Andrea and Servedio, Vito D. P. and Loreto, Vittorio and Hotho, Andreas and Grahl, Miranda and Stumme, Gerd}, editor = {Hoche, Susanne and Nürnberger, Andreas and Flach, Jürgen}, interhash = {fc5f2df61d28bc99b7e15029da125588}, intrahash = {da6c676c5664017247c7564fc247b190}, issn = {0921-7126}, journal = {AI Communications Journal, Special Issue on ``Network Analysis in Natural Sciences and Engineering''}, number = 4, pages = {245-262}, publisher = {IOS Press}, title = {Network Properties of Folksonomies}, url = {http://www.kde.cs.uni-kassel.de/stumme/papers/2007/cattuto2007network.pdf}, vgwort = {67}, volume = 20, year = 2007 } @inproceedings{krause2008antisocialb, author = {Krause, Beate and Schmitz, Christoph and Hotho, Andreas and Stumme, Gerd}, booktitle = {Proc. of the Fourth International Workshop on Adversarial Information Retrieval on the Web}, interhash = {a45d40ac7776551301ad9dde5b25357f}, intrahash = {6357f535000a383f228f1e8e56ca86ca}, title = {The Anti-Social Tagger - Detecting Spam in Social Bookmarking Systems}, url = {http://airweb.cse.lehigh.edu/2008/submissions/krause_2008_anti_social_tagger.pdf}, year = 2008 } @misc{zlati2009hypergraph, abstract = { Recent years have witnessed the emergence of a new class of social networks, that require us to move beyond previously employed representations of complex graph structures. A notable example is that of the folksonomy, an online process where users collaboratively employ tags to resources to impart structure to an otherwise undifferentiated database. In a recent paper[1] we proposed a mathematical model that represents these structures as tripartite hypergraphs and defined basic topological quantities of interest. In this paper we extend our model by defining additional quantities such as edge distributions, vertex similarity and correlations as well as clustering. We then empirically measure these quantities on two real life folksonomies, the popular online photo sharing site Flickr and the bookmarking site CiteULike. We find that these systems share similar qualitative features with the majority of complex networks that have been previously studied. We propose that the quantities and methodology described here can be used as a standard tool in measuring the structure of tagged networks. }, author = {Zlatic, Vinko and Ghoshal, Gourab and Caldarelli, Guido}, interhash = {7dfecf6636651d0b42d569a2ebb5212c}, intrahash = {6b9803ae1a6f0c369d0420c7cf7b3559}, note = {cite arxiv:0905.0976Comment: 8 pages, 9 figures, revtex}, title = {Hypergraph topological quantities for tagged social networks}, url = {http://arxiv.org/abs/0905.0976}, year = 2009 } @article{strohmaier2011evaluation, author = {Strohmaier, Markus and Helic, Denis and Benz, Dominik and Körner, Christian and Kern, Roman}, interhash = {87e110b0ade230877db6855cacabcb4d}, intrahash = {603161eb4c5b2f87f3d3a50f87015337}, journal = {Transactions on Intelligent Systems and Technology}, title = {Evaluation of Folksonomy Induction Algorithms}, url = {http://tist.acm.org/index.html}, vgwort = {43}, year = 2012 } @techreport{limpens2009linking, abstract = {Social tagging systems have recently become very popular as a means to classify large sets of resources shared among on-line communities over the social Web. However, the folksonomies resulting from the use of these systems revealed limitations: tags are ambiguous and their spelling may vary, and folksonomies are difficult to exploit in order to retrieve or exchange information. This report compares the recent attempts to overcome these limitations and to support the use of folksonomies with formal languages and ontologies from the Semantic Web.}, author = {Limpens, Freddy and Gandon, Fabien and Buffa, Michel}, institution = {INRIA, Institut National de Recherche en Informatique et Automatique}, interhash = {79fd59c735eed6708c0a3ca8db23636e}, intrahash = {db2ce0827f852bd879eef886b491a4ec}, month = {july}, title = {Linking Folksonomies and Ontologies for Supporting Knowledge Sharing: a State of the Art}, url = {http://isicil.inria.fr/docs/Livrables/ISICIL-ANR-EA01-FolksonomiesOntologies-0906.pdf}, year = 2009 } @article{dotsika2009uniting, abstract = {Ontologies and folksonomies are currently the most prominent web content classification schemes. While their roles are similar, their engineering is different. In an attempt to combine and harness their distinct powers, web and information scientists are attempting to integrate them, merging the flexibility, collaboration and information aggregation of folksonomies with the standardisation, automated validation and interoperability of ontologies. This paper explores the basics of web information classification engineering, identifies the strengths and weaknesses of the existing methodologies, assesses their effectiveness and investigates a number of key quality issues. It then investigates the existing methods for integrating ontologies and folksonomies and examines the integration requirements. It finally proposes a common framework for reconciliation of the two classification approaches and quality assurance.}, author = {Dotsika, Fefie}, doi = {10.1016/j.ijinfomgt.2009.02.002}, interhash = {af12ca46de775b5d35b4cdea0eb88d70}, intrahash = {ee11b7ce1f37fec42740c5b559a619ab}, issn = {0268-4012}, journal = {International Journal of Information Management}, number = 5, pages = {407 - 415}, title = {Uniting formal and informal descriptive power: Reconciling ontologies with folksonomies}, url = {http://www.sciencedirect.com/science/article/pii/S0268401209000127}, volume = 29, year = 2009 } @inproceedings{trabelsi2010bridging, abstract = {Social book marking tools are rapidly emerging on the Web as it can be witnessed by the overwhelming number of participants. In such spaces, users annotate resources by means of any keyword or tag that they find relevant, giving raise to lightweight conceptual structures \emph{aka} folksonomies. In this respect, needless to mention that ontologies can be of benefit for enhancing information retrieval metrics. In this paper, we introduce a novel approach for ontology learning from a \textit{folksonomy}, which provide shared vocabularies and semantic relations between tags. The main thrust of the introduced approach stands in putting the focus on the discovery of \textit{non-taxonomic} relationships. The latter are often neglected, even though they are of paramount importance from a semantic point of view. The discovery process heavily relies on triadic concepts to discover and select related tags and to extract and label non-taxonomically relationships between related tags and external sources for tags filtering and non-taxonomic relationships extraction. In addition, we also discuss a new approach to evaluate obtained relations in an automatic way against WordNet repository and presents promising results for a real world \textit{folksonomy}.}, acmid = {1934438}, address = {Washington, DC, USA}, author = {Trabelsi, Chiraz and Jrad, Aicha Ben and Yahia, Sadok Ben}, booktitle = {Proceedings of the 2010 IEEE International Conference on Data Mining Workshops}, doi = {10.1109/ICDMW.2010.72}, interhash = {4f2f573b32d29f76b348ee18d49c9ec4}, intrahash = {26c469e5c064f050f35e4448d0224886}, isbn = {978-0-7695-4257-7}, numpages = {11}, pages = {369--379}, publisher = {IEEE Computer Society}, series = {ICDMW '10}, title = {Bridging Folksonomies and Domain Ontologies: Getting Out Non-taxonomic Relations}, url = {http://dx.doi.org/10.1109/ICDMW.2010.72}, year = 2010 } @misc{wal2005explaining, author = {{Vander Wal}, Thomas}, day = 21, interhash = {f4691a4beb005c9ea5144b26cc89d77b}, intrahash = {3c3f33e5727395fdade9212f9cb6e242}, month = feb, title = {Explaining and Showing Broad and Narrow Folksonomies}, year = 2005 } @phdthesis{wetzker2010graphbased, author = {Wetzker, Robert}, file = {wetzker2010graphbased.pdf:wetzker2010graphbased.pdf:PDF}, groups = {public}, interhash = {ea052582bcb66d9cb59f970533d38b3d}, intrahash = {f5fbeb58ee950ed07bad2d07f473159d}, school = {Technische Universität Berlin}, timestamp = {2011.07.29}, title = {Graph-Based Recommendations in Broad Folksonomies}, username = {dbenz}, year = 2010 } @mastersthesis{keller2010theoretical, author = {Keller, Christine}, file = {keller2010theoretical.pdf:keller2010theoretical.pdf:PDF}, groups = {public}, interhash = {1b3c1123ec9de6b4997ca24cb9e658fd}, intrahash = {5e7a5d5d2ff00af9a914b3a547ca3c48}, school = {Universität Stuttgart}, timestamp = {2011.07.29}, title = {Theoretical and Practical Perspectives on Ontology Learning from Folksonomies}, username = {dbenz}, year = 2010 } @phdthesis{abbasi2010discovering, author = {Abbasi, Rabeeh Ayaz}, file = {abbasi2010discovering.pdf:abbasi2010discovering.pdf:PDF}, groups = {public}, interhash = {f92b84fefbec67183c025eded23d18ec}, intrahash = {52aceb02e936388a32e9ef9e1353ba93}, school = {Universit¨at Koblenz-Landau}, timestamp = {2011.07.29}, title = {Discovering and Exploiting Semantics in Folksonomies}, username = {dbenz}, year = 2010 } @article{november06peterson, author = {Peterson, Elaine}, doi = {10.1045/november2006-peterson}, interhash = {11b682c7b3141988594d05dbd09fcd54}, intrahash = {9d4746291e69e3dbe5fdd1a3e38417f1}, issn = {1082-9873}, journal = {D-Lib Magazine}, month = {November }, number = 11, title = {Beneath the Metadata: Some Philosophical Problems with Folksonomy }, url = {http://www.dlib.org/dlib/november06/peterson/11peterson.html}, volume = 12, year = 2006 }