Web Science and Digital Libraries Research Group

Figure 1: EnSU Architecture. This is Figure 2 in our paper. This blog post summarizes our paper, " Context-Based URL Classification for Open Access Datasets and Software in Scholarly Documents ," ( preprint ) published in the 2025 ACM/IEEE Joint Conference on Digital Libraries (JCDL ’25) .  Many scholarly papers include URLs that point to open-access datasets and software ( OADS ), but the URL string alone rarely tells us what the link refers to. In this paper, we present EnSU , an ensemble of three complementary models for classifying these URLs using the surrounding citation context. EnSU assigns each URL to one of six categories that jointly reflect both the resource type (dataset vs. software) and resource provider (authors vs. third parties), plus two catch-all categories for projects and general links. On our  OADS-1K dataset, EnSU achieves a macro-average F1-score of up to 0.90 on a stratified 80/20 split and a mean macro-average F1-score of 0.89 across five-fold c...