Publication: Link-Rot in Web-Sourced Multimedia Datasets
Link-Rot in Web-Sourced Multimedia Datasets
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Citations
Lakics, V., Rossetto, L., & Bernstein, A. (2023). Link-Rot in Web-Sourced Multimedia Datasets. In D.-T. Dang-Nguyen, C. Gurrin, M. Larson, A. F. Smeaton, S. Rudinac, M.-S. Dao, C. Trattner, & P. Chen (Eds.), MultiMedia Modeling (No. 13833; Issue 13833, pp. 476–488). Springer. https://doi.org/10.1007/978-3-031-27077-2_37
Abstract
Abstract
Abstract
The Web is increasingly used as a source for content of datasets of various types, especially multimedia content. These datasets are then often distributed as a collection of URLs, pointing to the original sources of the elements. As these sources go offline over time, the datasets experience decay in the form of link-rot. In this paper, we analyze 24 Web-sourced datasets with a combined total of over 270 million URLs and find that over 20% of the content is no longer available. We discuss the adverse effects of this decay on the repr
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Citations
Lakics, V., Rossetto, L., & Bernstein, A. (2023). Link-Rot in Web-Sourced Multimedia Datasets. In D.-T. Dang-Nguyen, C. Gurrin, M. Larson, A. F. Smeaton, S. Rudinac, M.-S. Dao, C. Trattner, & P. Chen (Eds.), MultiMedia Modeling (No. 13833; Issue 13833, pp. 476–488). Springer. https://doi.org/10.1007/978-3-031-27077-2_37
