This year's discovery challenge presents two tasks in the new area
of social bookmarking. One task covers spam detection and
the other covers tag recommendations. As we are hosting the social bookmark and
publication sharing system BibSonomy, we are able to provide a dataset
of BibSonomy for the challenge. A training dataset for both tasks is provided at the beginning of the competition.
The test dataset will be released 48 hours before the final deadline. Due to a very tight schedule we cannot grant any deadline
extension.
The presentation of the results will take place at the ECML/PKDD workshop where the top teams are
invited to present their approaches and results.
mendation service which can be called via HTTP by BibSonomy's recommender when a user posts a bookmark or publication. All participating recommenders are called on each posting process, one of them is choosen to actually deliver the results to the user. We can then measure
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 find 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.
J. Illig, A. Hotho, R. Jäschke, и G. Stumme. Knowledge Processing and Data Analysis, том 6581 из Lecture Notes in Computer Science, Springer Berlin / Heidelberg, 10.1007/978-3-642-22140-8_9.(2011)
J. Illig, A. Hotho, R. Jäschke, и G. Stumme. Knowledge Processing and Data Analysis, том 6581 из Lecture Notes in Computer Science, стр. 136--149. Berlin/Heidelberg, Springer, (2011)
B. Krause, A. Hotho, и G. Stumme. Advances in Information Retrieval, 30th European Conference on IR Research, ECIR 2008, 4956, стр. 101-113. Springer, (2008)
B. Krause, A. Hotho, и G. Stumme. 30th European Conference on IR Research, ECIR 2008, том 4956 из Lecture Notes in Computer Science, стр. 101-113. Glasgow, UK, Springer, (апреля 2008)
M. Becker, J. Mueller, A. Hotho, и G. Stumme. 1st International Workshop on Pervasive Urban Crowdsensing Architecture and Applications, PUCAA 2013, Zurich, Switzerland -- September 9, 2013. Proceedings, стр. New York, NY, USA. ACM, (2013)Accepted for publication.
D. Knoell, M. Atzmueller, C. Rieder, и K. Scherer. Proc. GWEM 2017, co-located with 9th Conference Professional Knowledge Management (WM 2017), Karlsruhe, Germany, KIT, (2017)
E. Agirre, E. Alfonseca, K. Hall, J. Kravalova, M. Pasca, и A. Soroa. Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, стр. 19--27. Stroudsburg, PA, USA, Association for Computational Linguistics, (2009)
D. Benz, A. Hotho, R. Jäschke, G. Stumme, A. Halle, A. Lima, H. Steenweg, и S. Stefani. Proceedings of the European Conference on Research and Advanced Technology for Digital Libraries (ECDL) 2010, том 6273 из Lecture Notes in Computer Science, стр. 417--420. Berlin/Heidelberg, Springer, (2010)
C. Schmitz, S. Staab, R. Studer, G. Stumme, und J. Tane. Proc. E-Learn 2002: World Conference on E-Learning in Corporate, Government, Healthcare, & Higher Education, Montreal, (октября 2002)
M. Atzmueller. Solving Large Scale Learning Tasks: Challenges and Algorithms. Festschrift in Honour of Prof. Dr. Katharina Morik, Volume 9580 von LNCS, Springer Verlag, (2016)
S. Staab, J. Angele, S. Decker, A. Hotho, A. Maedche, H. Schnurr, R. Studer, und Y. Sure. AAAI 2000/IAAI 2000 - Proceedings of the 17th National Conference on Artificial Intelligence and 12th Innovative Applications of Artificial Intelligence Conference, Austin/TX, USA, July 30-August 3, 2000, AAAI Press/MIT Press, (2000)
S. Staab, J. Angele, S. Decker, A. Hotho, A. Maedche, H. Schnurr, R. Studer, und Y. Sure. AAAI 2000/IAAI 2000 - Proceedings of the 17th National Conference on Artificial Intelligence and 12th Innovative Applications of Artificial Intelligence Conference, Austin/TX, USA, July 30-August 3, 2000, AAAI Press/MIT Press, (2000)
S. Bloehdorn, P. Cimiano, A. Hotho, und S. Staab. LDV Forum - GLDV Journal for Computational Linguistics and Language Technology, 20 (1):
87-112(мая 2005)
R. Jäschke, A. Hotho, C. Schmitz, und G. Stumme. Proceedings of the 15th International Conference on Conceptual Structures, Volume 4604 von LNCS, Sheffield, England, (июля 2007)
R. Jäschke, A. Hotho, C. Schmitz, und G. Stumme. Proceedings of the 15th International Conference on Conceptual Structures, Sheffield, England, (июля 2007)
R. Jäschke, A. Hotho, C. Schmitz, und G. Stumme. Proceedings of the 15th International Conference on Conceptual Structures (ICCS 2007), Volume 4604 von Lecture Notes in Artificial Intelligence, Seite 283--295. Berlin, Heidelberg, Springer-Verlag, (июля 2007)
M. Atzmueller. Proc. ECML/PKDD 2014: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Volume 8726 von LNCS, Seite 485--488. Heidelberg, Germany, Springer Verlag, (2014)
M. Atzmueller, L. Thiele, G. Stumme, und S. Kauffeld. Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, New York, NY, USA, ACM Press, (2016)
B. Macek, C. Scholz, M. Atzmueller, und G. Stumme. 23rd ACM Conference on Hypertext and Social Media, HT '12, Seite 245-254. Milwaukee, WI, USA, June 25-28, 2012, ACM, (2012)Best Paper.
M. Atzmueller, D. Arnu, und A. Schmidt. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017), Eindhoven, The Netherlands, Eindhoven University of Technology, (2017)
R. Jäschke, und S. Rudolph. Contributions to the 11th International Conference on Formal Concept Analysis, Seite 19--34. Technische Universität Dresden, (мая 2013)
D. Benz, K. Tso, und L. Schmidt-Thieme. Proceedings of the 2nd Workshop in Innovations in Web Infrastructure (IWI2) at WWW2006, Edinburgh, Scotland, (мая 2006)isbn = 085432853X.
B. Lauser, und A. Hotho. Proc. of the 7th European Conference in Research and Advanced Technology for Digital Libraries, ECDL 2003, Volume 2769 von LNCS, Seite 140-151. Springer, (2003)
A. Hotho, R. Jäschke, C. Schmitz, und G. Stumme. Proceedings of the Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures, (2006)to appear.
A. Hotho, R. Jäschke, C. Schmitz, und G. Stumme. Proceedings of the Conceptual Structures Tool Interoperability Workshop at the 14th International Conference on Conceptual Structures, Aalborg, Denmark, Aalborg University Press, (июля 2006)
C. Kohlschütter, P. Fankhauser, und W. Nejdl. Proc. of 3rd ACM International Conference on Web Search and Data Mining New York City, NY USA (WSDM 2010)., (2010)
S. Bloehdorn, und A. Hotho. Proceedings of the MSW 2004 workshop at the 10th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Seite 70-87. (августа 2004)
S. Bloehdorn, und A. Hotho. Proceedings of the Workshop on Text-based Information Retrieval (TIR-04) at the 27th German Conference on Artificial Intelligence, (сентября 2004)
S. Bloehdorn, und A. Hotho. Proceedings of the Workshop on Text-based Information Retrieval (TIR-04) at the 27th German Conference on Artificial Intelligence, (сентября 2004)
B. Berendt, A. Hotho, und G. Stumme. Web Semantics: Science, Services and Agents on the World Wide Web, 8 (2-3):
95 - 96(2010)Bridging the Gap--Data Mining and Social Network Analysis for Integrating Semantic Web and Web 2.0; The Future of Knowledge Dissemination: The Elsevier Grand Challenge for the Life Sciences.
R. Studer, G. Stumme, S. Handschuh, A. Hotho, und B. Motik. New Trends in Knowledge Processing - Data Mining, Semantic Web and Computational Science. Proc. 6th Sanken International Symposium, Seite 31-34. Osaka, Japan, (марта 2003)March 10-11, 2003.
R. Jäschke, A. Hotho, F. Mitzlaff, und G. Stumme. Recommender Systems for the Social Web, Volume 32 von Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)
D. Benz, B. Krause, G. Kumar, A. Hotho, und G. Stumme. Proceedings of the 1st Workshop on Explorative Analytics of Information Networks (EIN2009), Bled, Slovenia, (сентября 2009)
P. Cimiano, A. Hotho, und S. Staab. Proceedings of the Conference on Languages Resources and Evaluation (LREC), Lisbon, Portugal, ELRA - European Language Ressources Association, (мая 2004)
P. Cimiano, A. Hotho, und S. Staab. Proceedings of the European Conference on Artificial Intelligence (ECAI'04), Seite 435-439. Valencia, Spain, IOS Press, (2004)
P. Cimiano, A. Hotho, und S. Staab. Proceedings of the European Conference on Artificial Intelligence (ECAI'04), Seite 435-439. Valencia, Spain, IOS Press, (2004)