{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T02:33:47Z","timestamp":1783132427729,"version":"3.54.6"},"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>Multi-Context Systems (MCS) are a powerful framework to interlink heterogeneous knowledge bases under equilibrium semantics. Recent extensions of MCS to dynamic data settings either abstract from computing time, or abandon a dynamic equilibrium semantics. We thus present streaming MCS, which have a run-based semantics that accounts for asynchronous, distributed execution and supports obtaining equilibria for contexts in cyclic exchange (avoiding infinite loops); moreover, they equip MCS with native stream reasoning features. Ad-hoc query answering is NP-complete while prediction is PSpace-complete in relevant settings (but undecidable in general); tractability results for suitable restrictions.<\/jats:p>","DOI":"10.24963\/ijcai.2017\/139","type":"proceedings-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T05:14:07Z","timestamp":1501218847000},"page":"1000-1007","source":"Crossref","is-referenced-by-count":11,"title":["Streaming Multi-Context Systems"],"prefix":"10.24963","author":[{"given":"Minh","family":"Dao-Tran","sequence":"first","affiliation":[{"name":"Institut f\u00fcr Informationssysteme, Technische Universit\u00e4t Wien, Favoritenstra\u00dfe 9-11, A-1040 Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Eiter","sequence":"additional","affiliation":[{"name":"Institut f\u00fcr Informationssysteme, Technische Universit\u00e4t Wien, Favoritenstra\u00dfe 9-11, A-1040 Vienna, Austria"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10584","event":{"name":"Twenty-Sixth International Joint Conference on Artificial Intelligence","theme":"Artificial Intelligence","location":"Melbourne, Australia","acronym":"IJCAI-2017","number":"26","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)","University of Technology Sydney (UTS)","Australian Computer Society (ACS)"],"start":{"date-parts":[[2017,8,19]]},"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":"2017-07-28T07:52:27Z","timestamp":1501228347000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2017\/139"}},"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\/139","relation":{},"subject":[],"published":{"date-parts":[[2017,8]]}}}