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.
T. Hanika, and T. Hille. Conceptual Knowledge Structures - First International Joint Conference, CONCEPTS 2024, Cádiz, Spain, September 9-13, 2024, Proceedings, volume 14914 of Lecture Notes in Computer Science, page 97--112. Springer, (2024)
M. Stubbemann, and G. Stumme. Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III, volume 14171 of Lecture Notes in Computer Science, page 177--192. Springer, (2023)
M. Stubbemann, T. Hanika, and G. Stumme. Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings, volume 12080 of Lecture Notes in Computer Science, page 496--508. Springer, (2020)
M. Stubbemann, and G. Stumme. Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III, volume 14171 of Lecture Notes in Computer Science, page 177--192. Springer, (2023)
M. Stubbemann, and G. Stumme. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML-PKDD 2023, volume 14171 of Lecture Notes in Computer Science, page 177--192. Springer, (2023)
B. Ganter, T. Hanika, and J. Hirth. Formal Concept Analysis - 17th International Conference, ICFCA 2023, Kassel, Germany, July 17-21, 2023, Proceedings, volume 13934 of Lecture Notes in Computer Science, page 64--77. Springer, (2023)
B. Ganter, T. Hanika, and J. Hirth. Formal Concept Analysis - 17th International Conference, ICFCA 2023, Kassel, Germany, July 17-21, 2023, Proceedings, volume 13934 of Lecture Notes in Computer Science, page 64--77. Springer, (2023)
J. Hirth, V. Horn, G. Stumme, and T. Hanika. Graph-Based Representation and Reasoning - 28th International Conference on Conceptual Structures, ICCS 2023, Berlin, Germany, September 11-13, 2023, Proceedings, 14133, page 138--152. (2023)
T. Hanika, and J. Hirth. Graph-Based Representation and Reasoning - 26th International Conference on Conceptual Structures, ICCS 2021, Virtual Event, September 20-22, 2021, Proceedings, volume 12879 of Lecture Notes in Computer Science, page 105--118. Springer, (2021)
T. Hanika, and J. Hirth. Graph-Based Representation and Reasoning - 26th International Conference on Conceptual Structures, ICCS 2021, Virtual Event, September 20-22, 2021, Proceedings, volume 12879 of Lecture Notes in Computer Science, page 105--118. Springer, (2021)
G. Klumbyte, P. Lücking, and C. Draude. Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, New York, NY, USA, Association for Computing Machinery, (2020)
G. Klumbyte, C. Draude, and A. Taylor. CHItaly 2021: 14th Biannual Conference of the Italian SIGCHI Chapter, New York, NY, USA, Association for Computing Machinery, (2021)
T. Hanika, and J. Hirth. Formal Concept Analysis - 16th International Conference, ICFCA 2021, Strasbourg, France, June 29 - July 2, 2021, Proceedings, volume 12733 of Lecture Notes in Computer Science, page 261--269. Springer, (2021)
L. Stubbemann, D. Dürrschnabel, and R. Refflinghaus. (2021)cite arxiv:2103.10451Comment: 16 pages, 6 figures, 1 table, Accepted to: ETRA2021, ACM Symposium on Eye Tracking Research and Applications.
D. Dürrschnabel, and G. Stumme. (2021)cite arxiv:2102.02684Comment: 16 pages, 6 figures, 4 algorithms, for source code refer to https://github.com/domduerr/redraw.
T. Hanika, F. Schneider, and G. Stumme. Accepted for publication in: Tohoku Mathematical Journal, (2020)cite arxiv:1801.07985Comment: v2: completely rewritten 28 pages, 3 figures, 2 tables.