Association Rules and Semantic Relatedness (ARSR) - Evaluation Data

<em><strong>ARSR</strong></em> stands for "<strong><em>Association Rules and Semantic Relatedness</em></strong>",<br> a recommender system that combines association rule mining and semantic relatedness to create recommendations for form fields. ARSR was evaluated with focus on recommending values for fields of metadata forms.<br> The evaluation was performed with two sets of association rules (R1 and R2).<br> <strong>R1</strong> was primarily used to assess the recommendation performance.<br> <strong>R2</strong> served as an alternative and led to similar results. This dataset contains the raw data ("<strong>collected</strong>", JSON format), generated during the evaluation.<br> It includes i.a. input (populated fields and target field), expected output, and the top 40 generated recommendations for each test combination. In addition, the processed data ("<strong>analysed</strong>", CSV format) is provided.<br> It is based on the raw data and is used to calculate metrics and plot the results. The <strong>source code</strong> for ARSR and the evaluation is available on GitLab (gitlab.com). <em>Note:</em><br> To perform the analysis on the raw data (collected) yourself, make sure to follow the setup instruction in the evaluation repository first.<br> More specifically, install dependencies and unzip "data/cedar/test-instances.zip" so that URI mappings can be accessed.<br> Then follow the instructions provided by the README file in the raw data archives (e.g. collected-R1.zip).