{"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/column-oriented-datalog-materialization-for","title":"Column-Oriented Datalog Materialization for Large Knowledge Graphs (Extended Technical Report)","arxiv_id":"1511.08915","date":"2015-11-28","proceeding":null,"authors":["Jacopo Urbani","Ceriel Jacobs","Markus Krötzsch"],"abstract":"The evaluation of Datalog rules over large Knowledge Graphs (KGs) is\nessential for many applications. In this paper, we present a new method of\nmaterializing Datalog inferences, which combines a column-based memory layout\nwith novel optimization methods that avoid redundant inferences at runtime. The\npro-active caching of certain subqueries further increases efficiency. Our\nempirical evaluation shows that this approach can often match or even surpass\nthe performance of state-of-the-art systems, especially under restricted\nresources.","url_abs":"http://arxiv.org/abs/1511.08915v2","url_pdf":"http://arxiv.org/pdf/1511.08915v2.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":"column-oriented-datalog-materialization-for","repo_url":"https://github.com/jrbn/vlog","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"knowledge-graphs","task_name":"Knowledge Graphs"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1511.08915","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}