{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T13:56:14Z","timestamp":1760709374490},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:p>Many modern companies wish to maintain knowledge in the form of a corporate knowledge graph and to use and manage this knowledge via a knowledge graph management system (KGMS). We formulate various requirements for a fully fledged KGMS. In particular, such a system must be  \n\ncapable of performing complex reasoning tasks but, at the same time, achieve efficient and scalable reasoning over Big Data with an acceptable computational complexity. Moreover, a KGMS needs interfaces to corporate databases, the web, and machine-learning and analytics packages. \n\nWe present KRR formalisms and a system achieving these goals.<\/jats:p>","DOI":"10.24963\/ijcai.2017\/1","type":"proceedings-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T09:14:07Z","timestamp":1501233247000},"page":"2-10","source":"Crossref","is-referenced-by-count":25,"title":["Swift Logic for Big Data and Knowledge Graphs"],"prefix":"10.24963","author":[{"given":"Luigi","family":"Bellomarini","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Oxford, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Georg","family":"Gottlob","sequence":"additional","affiliation":[{"name":"University of Oxford and TU Wien"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Pieris","sequence":"additional","affiliation":[{"name":"University of Edinburgh"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emanuel","family":"Sallinger","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Oxford, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"26","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)","University of Technology Sydney (UTS)","Australian Computer Society (ACS)"],"acronym":"IJCAI-2017","name":"Twenty-Sixth International Joint Conference on Artificial Intelligence","start":{"date-parts":[[2017,8,19]]},"theme":"Artificial Intelligence","location":"Melbourne, Australia","end":{"date-parts":[[2017,8,26]]}},"container-title":["Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T11:51:46Z","timestamp":1501242706000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2017\/1"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2017\/1","relation":{},"subject":[],"published":{"date-parts":[[2017,8]]}}}