{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/mandolin-a-knowledge-discovery-framework-for","title":"Mandolin: A Knowledge Discovery Framework for the Web of Data","arxiv_id":"1711.01283","date":"2017-11-03","proceeding":null,"authors":["Tommaso Soru","Diego Esteves","Edgard Marx","Axel-Cyrille Ngonga Ngomo"],"abstract":"Markov Logic Networks join probabilistic modeling with first-order logic and\nhave been shown to integrate well with the Semantic Web foundations. While\nseveral approaches have been devised to tackle the subproblems of rule mining,\ngrounding, and inference, no comprehensive workflow has been proposed so far.\nIn this paper, we fill this gap by introducing a framework called Mandolin,\nwhich implements a workflow for knowledge discovery specifically on RDF\ndatasets. Our framework imports knowledge from referenced graphs, creates\nsimilarity relationships among similar literals, and relies on state-of-the-art\ntechniques for rule mining, grounding, and inference computation. We show that\nour best configuration scales well and achieves at least comparable results\nwith respect to other statistical-relational-learning algorithms on link\nprediction.","url_abs":"http://arxiv.org/abs/1711.01283v1","url_pdf":"http://arxiv.org/pdf/1711.01283v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"mandolin-a-knowledge-discovery-framework-for","repo_url":"https://github.com/AKSW/Mandolin","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"link-prediction","task_name":"Link Prediction"},{"task_slug":"relational-reasoning","task_name":"Relational Reasoning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}