{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T23:34:24Z","timestamp":1723073664517},"reference-count":0,"publisher":"Association for the Advancement of Artificial Intelligence (AAAI)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["AAAI"],"abstract":"\n \n The evaluation of Datalog rules over large Knowledge Graphs (KGs) is essential for many applications. In this paper, we present a new method of materializing Datalog inferences, which combines a column-based memory layout with novel optimization methods that avoid redundant inferences at runtime. The pro-active caching of certain subqueries further increases efficiency. Our empirical evaluation shows that this approach can often match or even surpass the performance of state-of-the-art systems, especially under restricted resources.\n \n <\/jats:p>","DOI":"10.1609\/aaai.v30i1.9993","type":"journal-article","created":{"date-parts":[[2022,6,24]],"date-time":"2022-06-24T06:12:07Z","timestamp":1656051127000},"source":"Crossref","is-referenced-by-count":18,"title":["Column-Oriented Datalog Materialization for Large Knowledge Graphs"],"prefix":"10.1609","volume":"30","author":[{"given":"Jacopo","family":"Urbani","sequence":"first","affiliation":[]},{"given":"Ceriel","family":"Jacobs","sequence":"additional","affiliation":[]},{"given":"Markus","family":"Kr\u00f6tzsch","sequence":"additional","affiliation":[]}],"member":"9382","published-online":{"date-parts":[[2016,2,21]]},"container-title":["Proceedings of the AAAI Conference on Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/9993\/9852","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/download\/9993\/9852","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,24]],"date-time":"2022-06-24T06:12:08Z","timestamp":1656051128000},"score":1,"resource":{"primary":{"URL":"https:\/\/ojs.aaai.org\/index.php\/AAAI\/article\/view\/9993"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,2,21]]},"references-count":0,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2016,2,18]]}},"URL":"https:\/\/doi.org\/10.1609\/aaai.v30i1.9993","relation":{},"ISSN":["2374-3468","2159-5399"],"issn-type":[{"value":"2374-3468","type":"electronic"},{"value":"2159-5399","type":"print"}],"subject":[],"published":{"date-parts":[[2016,2,21]]}}}