{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T20:12:33Z","timestamp":1778616753223,"version":"3.51.4"},"reference-count":131,"publisher":"SAGE Publications","issue":"1-2","license":[{"start":{"date-parts":[[2017,10,17]],"date-time":"2017-10-17T00:00:00Z","timestamp":1508198400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2017,10,17]],"date-time":"2017-10-17T00:00:00Z","timestamp":1508198400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Data Science"],"published-print":{"date-parts":[[2017,12,8]]},"abstract":"<jats:p>Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic. It can find application in several settings, from Smart Cities to Industry 4.0, from Internet of Things to Social Media analytics. This year stream reasoning turns ten, and in this article we analyse its growth. In the first part, we trace the main results obtained so far, by presenting the most prominent studies. We start by an overview of the most relevant studies developed in the context of semantic web, and then we extend the analysis to include contributions from adjacent areas, such as database and artificial intelligence. Looking at the past is useful to prepare for the future: in the second part, we present a set of open challenges and issues that stream reasoning will face in the next future.<\/jats:p>","DOI":"10.3233\/ds-170006","type":"journal-article","created":{"date-parts":[[2017,7,14]],"date-time":"2017-07-14T13:39:39Z","timestamp":1500039579000},"page":"59-83","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":98,"title":["Stream reasoning: A survey and outlook"],"prefix":"10.1177","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4904-2511","authenticated-orcid":false,"given":"Daniele","family":"Dell\u2019Aglio","sequence":"first","affiliation":[{"name":"University of Zurich","place":["Switzerland"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5176-5885","authenticated-orcid":false,"given":"Emanuele","family":"Della Valle","sequence":"additional","affiliation":[{"name":"Politecnico di Milano","place":["Italy"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7913-0048","authenticated-orcid":false,"given":"Frank","family":"van Harmelen","sequence":"additional","affiliation":[{"name":"Vrije Universiteit Amsterdam","place":["The Netherlands"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0128-4602","authenticated-orcid":false,"given":"Abraham","family":"Bernstein","sequence":"additional","affiliation":[{"name":"University of Zurich","place":["Switzerland"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2017,10,17]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"D.J.\u00a0Abadi Y.\u00a0Ahmad M.\u00a0Balazinska U.\u00a0\u00c7etintemel M.\u00a0Cherniack J.\u00a0Hwang W.\u00a0Lindner A.\u00a0Maskey A.\u00a0Rasin E.\u00a0Ryvkina N.\u00a0Tatbul Y.\u00a0Xing and S.B.\u00a0Zdonik The design of the borealis stream processing engine in: CIDR 2005 pp.\u00a0277\u2013289. Available online athttp:\/\/cidrdb.org\/cidr2005\/papers\/P23.pdf."},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.14778\/2824032.2824076"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","unstructured":"M.I.\u00a0Ali F.\u00a0Gao and A.\u00a0Mileo CityBench: A configurable benchmark to evaluate RSP engines using smart city datasets in: International Semantic Web Conference (2) Lecture Notes in Computer Science Vol. 9367 Springer 2015 pp.\u00a0374\u2013389. doi:10.1007\/978-3-319-25010-6_25.","DOI":"10.1007\/978-3-319-25010-6_25"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","unstructured":"D.\u00a0Anicic P.\u00a0Fodor S.\u00a0Rudolph and N.\u00a0Stojanovic EP-SPARQL: a unified language for event processing and stream reasoning in: WWW ACM 2011 pp.\u00a0635\u2013644. doi:10.1145\/1963405.1963495.","DOI":"10.1145\/1963405.1963495"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.3233\/SW-2011-0053"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","unstructured":"A.\u00a0Arasu S.\u00a0Babu and J.\u00a0Widom CQL: A language for continuous queries over streams and relations in: DBPL Lecture Notes in Computer Science Vol. 2921 Springer 2003 pp.\u00a01\u201319. doi:10.1007\/978-3-540-24607-7_1.","DOI":"10.1007\/978-3-540-24607-7_1"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","unstructured":"M.\u00a0Arenas L.E.\u00a0Bertossi and J.\u00a0Chomicki Consistent query answers in inconsistent databases in: PODS ACM Press 1999 pp.\u00a068\u201379. doi:10.1145\/303976.303983.","DOI":"10.1145\/303976.303983"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1016636131405"},{"key":"e_1_3_2_10_2","unstructured":"F.\u00a0Baader S.\u00a0Brandt and C.\u00a0Lutz Pushing the EL envelope in: IJCAI Professional Book Center 2005 pp.\u00a0364\u2013369. Available online athttps:\/\/dl.acm.org\/citation.cfm?id=1642351."},{"key":"e_1_3_2_11_2","unstructured":"F.\u00a0Baader C.\u00a0Lutz and S.\u00a0Brandt Pushing the EL envelope further in: OWLED (Spring) CEUR Workshop Proceedings Vol. 496 CEUR-WS.org 2008. Available online athttp:\/\/ceur-ws.org\/Vol-496\/owled2008dc_paper_3.pdf."},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","unstructured":"A.\u00a0Bachmann C.\u00a0Bird F.\u00a0Rahman P.T.\u00a0Devanbu and A.\u00a0Bernstein The missing links: Bugs and bug-fix commits in: SIGSOFT FSE ACM 2010 pp.\u00a097\u2013106. doi:10.1145\/1882291.1882308.","DOI":"10.1145\/1882291.1882308"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.3233\/SW-130107"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/MMUL.2015.54"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","unstructured":"J.\u00a0Bao D.\u00a0Caragea and V.\u00a0Honavar A tableau-based federated reasoning algorithm for modular ontologies in: Web Intelligence IEEE Computer Society 2006 pp.\u00a0404\u2013410. doi:10.1109\/WI.2006.28.","DOI":"10.1109\/WI.2006.28"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1142\/S1793351X10000936"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","unstructured":"D.F.\u00a0Barbieri D.\u00a0Braga S.\u00a0Ceri E.\u00a0Della Valle and M.\u00a0Grossniklaus Incremental reasoning on streams and rich background knowledge in: ESWC (1) Lecture Notes in Computer Science Vol. 6088 Springer 2010 pp.\u00a01\u201315. doi:10.1007\/978-3-642-13486-9_1.","DOI":"10.1007\/978-3-642-13486-9_1"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2010.142"},{"key":"e_1_3_2_19_2","unstructured":"D.F.\u00a0Barbieri and E.\u00a0Della Valle A proposal for publishing data streams as linked data \u2013 A position paper in: LDOW CEUR Workshop Proceedings Vol. 628 CEUR-WS.org 2010. Available online athttp:\/\/ceur-ws.org\/Vol-628\/ldow2010_paper11.pdf."},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","unstructured":"D.A.\u00a0Basin B.N.\u00a0Bhatt and D.\u00a0Traytel Almost event-rate independent monitoring of metric temporal logic in: TACAS (2) Lecture Notes in Computer Science Vol. 10206 2017 pp.\u00a094\u2013112. doi:10.1007\/978-3-662-54580-5_6.","DOI":"10.1007\/978-3-662-54580-5_6"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","unstructured":"A.\u00a0Bauer J.-C.\u00a0K\u00fcster and G.\u00a0Vegliach From propositional to first-order monitoring in: RV Lecture Notes in Computer Science Vol. 8174 Springer 2013 pp.\u00a059\u201375. doi:10.1007\/978-3-642-40787-1_4.","DOI":"10.1007\/978-3-642-40787-1_4"},{"key":"e_1_3_2_22_2","doi-asserted-by":"crossref","unstructured":"H.\u00a0Beck M.\u00a0Dao-Tran T.\u00a0Eiter and M.\u00a0Fink LARS: A logic-based framework for analyzing reasoning over streams in: AAAI AAAI Press 2015 pp.\u00a01431\u20131438. Available online athttps:\/\/dl.acm.org\/citation.cfm?id=2887205.","DOI":"10.1609\/aaai.v29i1.9408"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","unstructured":"F.\u00a0Belghaouti A.\u00a0Bouzeghoub Z.\u00a0Kazi-Aoul and R.\u00a0Chiky POL: A pattern oriented load-shedding for semantic data stream processing in: WISE (2) Lecture Notes in Computer Science Vol. 10042 2016 pp.\u00a0157\u2013171. doi:10.1007\/978-3-319-48743-4_13.","DOI":"10.1007\/978-3-319-48743-4_13"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","unstructured":"I.\u00a0Botan G.\u00a0Alonso P.M.\u00a0Fischer D.\u00a0Kossmann and N.\u00a0Tatbul Flexible and scalable storage management for data-intensive stream processing in: EDBT ACM International Conference Proceeding Series Vol. 360 ACM 2009 pp.\u00a0934\u2013945. doi:10.1145\/1516360.1516467.","DOI":"10.1145\/1516360.1516467"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.4018\/jswis.2012010103"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.3233\/SW-2011-0029"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","unstructured":"D.\u00a0Calvanese E.G.\u00a0Kalayci V.\u00a0Ryzhikov and G.\u00a0Xiao Towards practical OBDA with temporal ontologies \u2013 (position paper) in: RR Lecture Notes in Computer Science Vol. 9898 Springer 2016 pp.\u00a018\u201324. doi:10.1007\/978-3-319-45276-0_2.","DOI":"10.1007\/978-3-319-45276-0_2"},{"issue":"4","key":"e_1_3_2_28_2","first-page":"28","article-title":"Apache flink\u2122: Stream and batch processing in a single engine","volume":"38","author":"Carbone P.","year":"2015","unstructured":"P.\u00a0Carbone, A.\u00a0Katsifodimos, S.\u00a0Ewen, V.\u00a0Markl, S.\u00a0Haridi and K.\u00a0Tzoumas, Apache flink\u2122: Stream and batch processing in a single engine, IEEE Data Eng. Bull.38(4) (2015), 28\u201338. Available online athttp:\/\/sites.computer.org\/debull\/A15dec\/p28.pdf.","journal-title":"IEEE Data Eng. Bull."},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jalgor.2003.12.001"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","unstructured":"G.\u00a0Cugola and A.\u00a0Margara Processing flows of information: From data stream to complex event processing ACM Comput. Surv.44(3) (2012) 15. doi:10.1145\/2187671.2187677.","DOI":"10.1145\/2187671.2187677"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-014-0404-y"},{"key":"e_1_3_2_32_2","unstructured":"R.\u00a0Cyganiak D.\u00a0Wood and M.\u00a0Lanthaler RDF 1.1 Concepts and Abstract Syntax W3C Recommendation W3C 2014. Available online at https:\/\/www.w3.org\/TR\/rdf11-concepts\/."},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","unstructured":"M.\u00a0Dao-Tran H.\u00a0Beck and T.\u00a0Eiter Contrasting RDF stream processing semantics in: JIST Lecture Notes in Computer Science Vol. 9544 Springer 2015 pp.\u00a0289\u2013298. doi:10.1007\/978-3-319-31676-5_21.","DOI":"10.1007\/978-3-319-31676-5_21"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","unstructured":"D.\u00a0de Leng and F.\u00a0Heintz Ontology-based introspection in support of stream reasoning in: SCAI Frontiers in Artificial Intelligence and Applications Vol. 278 IOS Press 2015 pp.\u00a078\u201387. doi:10.3233\/978-1-61499-589-0-78.","DOI":"10.3233\/978-1-61499-589-0-78"},{"key":"e_1_3_2_35_2","doi-asserted-by":"crossref","unstructured":"D.\u00a0de Leng and F.\u00a0Heintz Qualitative spatio-temporal stream reasoning with unobservable intertemporal spatial relations using landmarks in: AAAI AAAI Press 2016 pp.\u00a0957\u2013963. Available online athttps:\/\/dl.acm.org\/citation.cfm?id=3015955.","DOI":"10.1609\/aaai.v30i1.10095"},{"key":"e_1_3_2_36_2","doi-asserted-by":"publisher","unstructured":"S.\u00a0Dehghanzadeh D.\u00a0Dell\u2019Aglio S.\u00a0Gao E.\u00a0Della Valle A.\u00a0Mileo and A.\u00a0Bernstein Approximate continuous query answering over streams and dynamic linked data sets in: ICWE Lecture Notes in Computer Science Vol. 9114 Springer 2015 pp.\u00a0307\u2013325. doi:10.1007\/978-3-319-19890-3_20.","DOI":"10.1007\/978-3-319-19890-3_20"},{"key":"e_1_3_2_37_2","unstructured":"E.\u00a0Della Valle On Stream Reasoning PhD thesis Vrije Universiteit Amsterdam 2015. Available online at http:\/\/dare.ubvu.vu.nl\/handle\/1871\/53293."},{"key":"e_1_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2009.125"},{"key":"e_1_3_2_39_2","doi-asserted-by":"publisher","unstructured":"E.\u00a0Della Valle D.\u00a0Dell\u2019Aglio and A.\u00a0Margara Taming velocity and variety simultaneously in big data with stream reasoning: Tutorial in: DEBS ACM 2016 pp.\u00a0394\u2013401. doi:10.1145\/2933267.2933539.","DOI":"10.1145\/2933267.2933539"},{"key":"e_1_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.3233\/SW-2012-0085"},{"key":"e_1_3_2_41_2","unstructured":"D.\u00a0Dell\u2019Aglio On Unified Stream Reasoning PhD thesis Politecnico di Milano 2016. Availble online at http:\/\/hdl.handle.net\/10589\/122892."},{"key":"e_1_3_2_42_2","doi-asserted-by":"publisher","unstructured":"D.\u00a0Dell\u2019Aglio M.\u00a0Balduini and E.\u00a0Della Valle Applying semantic interoperability principles to data stream management in: Data Management in Pervasive Systems Data-Centric Systems and Applications Springer 2015 pp.\u00a0135\u2013166. doi:10.1007\/978-3-319-20062-0_7.","DOI":"10.1007\/978-3-319-20062-0_7"},{"key":"e_1_3_2_43_2","doi-asserted-by":"publisher","unstructured":"D.\u00a0Dell\u2019Aglio J.\u00a0Calbimonte M.\u00a0Balduini \u00d3.\u00a0Corcho and E.\u00a0Della Valle On correctness in RDF stream processor benchmarking in: International Semantic Web Conference (2) Lecture Notes in Computer Science Vol. 8219 Springer 2013 pp.\u00a0326\u2013342. doi:10.1007\/978-3-642-41338-4_21.","DOI":"10.1007\/978-3-642-41338-4_21"},{"key":"e_1_3_2_44_2","doi-asserted-by":"publisher","unstructured":"D.\u00a0Dell\u2019Aglio M.\u00a0Dao-Tran J.\u00a0Calbimonte D.\u00a0Le Phuoc and E.\u00a0Della Valle A query model to capture event pattern matching in RDF stream processing query languages in: EKAW Lecture Notes in Computer Science Vol. 10024 2016 pp.\u00a0145\u2013162. doi:10.1007\/978-3-319-49004-5_10.","DOI":"10.1007\/978-3-319-49004-5_10"},{"key":"e_1_3_2_45_2","doi-asserted-by":"publisher","DOI":"10.4018\/ijswis.2014100102"},{"key":"e_1_3_2_46_2","doi-asserted-by":"publisher","unstructured":"C.\u00a0Dobbins P.\u00a0Fergus M.\u00a0Merabti and D.\u00a0Llewellyn-Jones Monitoring and measuring sedentary behaviour with the aid of human digital memories in: CCNC IEEE 2012 pp.\u00a0395\u2013398. doi:10.1109\/CCNC.2012.6181016.","DOI":"10.1109\/CCNC.2012.6181016"},{"key":"e_1_3_2_47_2","doi-asserted-by":"publisher","unstructured":"A.\u00a0Dobra M.N.\u00a0Garofalakis J.\u00a0Gehrke and R.\u00a0Rastogi Processing complex aggregate queries over data streams in: SIGMOD Conference ACM 2002 pp.\u00a061\u201372. doi:10.1145\/564691.564699.","DOI":"10.1145\/564691.564699"},{"key":"e_1_3_2_48_2","first-page":"273","article-title":"TAL: Temporal action logics language specification and tutorial","volume":"2","author":"Doherty P.","year":"1998","unstructured":"P.\u00a0Doherty, J.\u00a0Gustafsson, L.\u00a0Karlsson and J.\u00a0Kvarnstr\u00f6m, TAL: Temporal action logics language specification and tutorial, Electron. Trans. Artif. Intell.2 (1998), 273\u2013306. Availble online at http:\/\/www.ep.liu.se\/ej\/etai\/1998\/009\/.","journal-title":"Electron. Trans. Artif. Intell."},{"key":"e_1_3_2_49_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2008.04.002"},{"key":"e_1_3_2_50_2","unstructured":"J.\u00a0Elgot-Drapkin S.\u00a0Kraus M.\u00a0Miller M.\u00a0Nirkhe and D.\u00a0Perlis Active logics: A unified formal approach to episodic reasoning Technical report 1999. Availble online at http:\/\/hdl.handle.net\/1903\/1039."},{"key":"e_1_3_2_51_2","unstructured":"J.J.\u00a0Elgot-Drapkin Step-logic: Reasoning situated in time PhD thesis University of Maryland at College Park 1988. Availble online at https:\/\/dl.acm.org\/citation.cfm?id=915324."},{"key":"e_1_3_2_52_2","doi-asserted-by":"publisher","unstructured":"O.\u00a0Erling A.\u00a0Averbuch J.\u00a0Larriba-Pey H.\u00a0Chafi A.\u00a0Gubichev A.\u00a0Prat-P\u00e9rez M.\u00a0Pham and P.A.\u00a0Boncz The LDBC social network benchmark: Interactive workload in: SIGMOD Conference ACM 2015 pp.\u00a0619\u2013630. doi:10.1145\/2723372.2742786.","DOI":"10.1145\/2723372.2742786"},{"key":"e_1_3_2_53_2","unstructured":"L.\u00a0Fischer T.\u00a0Scharrenbach and A.\u00a0Bernstein Scalable linked data stream processing via network-aware workload scheduling in: SSWS@ISWC CEUR Workshop Proceedings Vol. 1046 CEUR-WS.org 2013 pp.\u00a081\u201396. Available online athttp:\/\/ceur-ws.org\/Vol-1046\/SSWS2013_paper6.pdf."},{"key":"e_1_3_2_54_2","doi-asserted-by":"publisher","unstructured":"A.\u00a0Fokoue A.\u00a0Kershenbaum L.\u00a0Ma E.\u00a0Schonberg and K.\u00a0Srinivas The summary abox: Cutting ontologies down to size in: International Semantic Web Conference Lecture Notes in Computer Science Vol. 4273 Springer 2006 pp.\u00a0343\u2013356. doi:10.1007\/11926078_25.","DOI":"10.1007\/11926078_25"},{"key":"e_1_3_2_55_2","doi-asserted-by":"publisher","DOI":"10.1016\/0004-3702(82)90020-0"},{"key":"e_1_3_2_56_2","doi-asserted-by":"publisher","unstructured":"S.\u00a0Gao D.\u00a0Dell\u2019Aglio S.\u00a0Dehghanzadeh A.\u00a0Bernstein E.\u00a0Della Valle and A.\u00a0Mileo Planning ahead: Stream-driven linked-data access under update-budget constraints in: International Semantic Web Conference (1) Lecture Notes in Computer Science Vol. 9981 2016 pp.\u00a0252\u2013270. doi:10.1007\/978-3-319-46523-4_16.","DOI":"10.1007\/978-3-319-46523-4_16"},{"key":"e_1_3_2_57_2","doi-asserted-by":"publisher","unstructured":"S.\u00a0Gao T.\u00a0Scharrenbach and A.\u00a0Bernstein The CLOCK data-aware eviction approach: Towards processing linked data streams with limited resources in: ESWC Lecture Notes in Computer Science Vol. 8465 Springer 2014 pp.\u00a06\u201320. doi:10.1007\/978-3-319-07443-6_2.","DOI":"10.1007\/978-3-319-07443-6_2"},{"key":"e_1_3_2_58_2","unstructured":"S.\u00a0Gao T.\u00a0Scharrenbach J.\u00a0Kietz and A.\u00a0Bernstein Running out of bindings? Integrating facts and events in linked data stream processing in: SSN-TC\/OrdRing@ISWC CEUR Workshop Proceedings Vol. 1488 CEUR-WS.org 2015 pp.\u00a063\u201374. Available online athttp:\/\/ceur-ws.org\/Vol-1488\/paper-07.pdf."},{"key":"e_1_3_2_59_2","doi-asserted-by":"publisher","DOI":"10.3233\/AIC-2011-0496"},{"key":"e_1_3_2_60_2","unstructured":"B.\u00a0Glimm and C.\u00a0Ogbuji SPARQL 1.1 Entailment Regimes W3C Recommendation W3C 2013. Available online at https:\/\/www.w3.org\/TR\/sparql11-entailment\/."},{"key":"e_1_3_2_61_2","unstructured":"J.\u00a0Gray (ed.) The Benchmark Handbook for Database and Transaction Systems (2nd Edition) Morgan Kaufmann 1993. ISBN 1-55860-292-5."},{"key":"e_1_3_2_62_2","doi-asserted-by":"publisher","unstructured":"M.\u00a0Grossniklaus D.\u00a0Maier J.\u00a0Miller S.\u00a0Moorthy and K.\u00a0Tufte Frames: Data-driven windows in: DEBS ACM 2016 pp.\u00a013\u201324. doi:10.1145\/2933267.2933304.","DOI":"10.1145\/2933267.2933304"},{"key":"e_1_3_2_63_2","doi-asserted-by":"publisher","unstructured":"S.\u00a0Gurajada S.\u00a0Seufert I.\u00a0Miliaraki and M.\u00a0Theobald TriAD: A distributed shared-nothing RDF engine based on asynchronous message passing in: SIGMOD Conference ACM 2014 pp.\u00a0289\u2013300. doi:10.1145\/2588555.2610511.","DOI":"10.1145\/2588555.2610511"},{"key":"e_1_3_2_64_2","unstructured":"S.\u00a0Harris and A.\u00a0Seaborne SPARQL 1.1 Query Language W3C Recommendation W3C 2013. Available online at https:\/\/www.w3.org\/TR\/sparql11-query\/."},{"key":"e_1_3_2_65_2","unstructured":"F.\u00a0Heintz DyKnow: A Stream-Based Knowledge Processing Middleware Framework PhD thesis Link\u00f6ping University Sweden 2009. Available online at www.diva-portal.org\/smash\/record.jsf?pid=diva2:159661."},{"key":"e_1_3_2_66_2","unstructured":"F.\u00a0Heintz and D.\u00a0de Leng Semantic information integration with transformations for stream reasoning in: FUSION IEEE 2013 pp.\u00a0445\u2013452. Available online atieeexplore.ieee.org\/document\/6641314\/."},{"key":"e_1_3_2_67_2","doi-asserted-by":"publisher","DOI":"10.3233\/IFS-2004-00220"},{"key":"e_1_3_2_68_2","doi-asserted-by":"publisher","unstructured":"S.\u00a0Huang J.\u00a0Huang J.\u00a0Dai T.\u00a0Xie and B.\u00a0Huang The HiBench benchmark suite: Characterization of the MapReduce-based data analysis in: 2010 IEEE 26th International Conference on Data Engineering Workshops (ICDEW) 2010 pp.\u00a041\u201351. doi:10.1109\/ICDEW.2010.5452747.","DOI":"10.1109\/ICDEW.2010.5452747"},{"key":"e_1_3_2_69_2","doi-asserted-by":"publisher","unstructured":"Z.\u00a0Huang and H.\u00a0Stuckenschmidt Reasoning with multi-version ontologies: A temporal logic approach in: International Semantic Web Conference Lecture Notes in Computer Science Vol. 3729 Springer 2005 pp.\u00a0398\u2013412. doi:10.1007\/11574620_30.","DOI":"10.1007\/11574620_30"},{"key":"e_1_3_2_70_2","doi-asserted-by":"publisher","unstructured":"T.\u00a0K\u00e4fer A.\u00a0Harth and S.\u00a0Mamessier Towards declarative programming and querying in a distributed cyber-physical system: The I-VISION case in: CPS Data IEEE 2016 pp.\u00a01\u20136. doi:10.1109\/CPSData.2016.7496418.","DOI":"10.1109\/CPSData.2016.7496418"},{"key":"e_1_3_2_71_2","unstructured":"R.\u00a0Keskis\u00e4rkk\u00e4 Query templates for RDF stream processing in: SR+SWIT@ISWC CEUR Workshop Proceedings Vol. 1783 CEUR-WS.org 2016 pp.\u00a025\u201336. Available online athttp:\/\/ceur-ws.org\/Vol-1783\/paper-03.pdf."},{"key":"e_1_3_2_72_2","unstructured":"R.\u00a0Keskis\u00e4rkk\u00e4 and E.\u00a0Blomqvist Semantic complex event processing for social media monitoring-a survey in: Proceedings of Social Media and Linked Data for Emergency Response (SMILE) Co-Located with the 10th Extended Semantic Web Conference Montpellier France. CEUR Workshop Proceedings (May 2013) 2013. Available online athttp:\/\/ceur-ws.org\/Vol-1191\/paper1.pdf."},{"key":"e_1_3_2_73_2","unstructured":"E.\u00a0Kharlamov S.\u00a0Brandt M.\u00a0Giese E.\u00a0Jim\u00e9nez-Ruiz S.\u00a0Lamparter C.\u00a0Neuenstadt \u00d6.L.\u00a0\u00d6z\u00e7ep C.\u00a0Pinkel A.\u00a0Soylu D.\u00a0Zheleznyakov M.\u00a0Roshchin S.\u00a0Watson and I.\u00a0Horrocks Semantic access to siemens streaming data: The optique way in: International Semantic Web Conference (Posters & Demos) CEUR Workshop Proceedings Vol. 1486 CEUR-WS.org 2015. Available online athttp:\/\/ceur-ws.org\/Vol-1486\/paper_23.pdf."},{"key":"e_1_3_2_74_2","doi-asserted-by":"publisher","unstructured":"E.\u00a0Kharlamov S.\u00a0Brandt E.\u00a0Jim\u00e9nez-Ruiz Y.\u00a0Kotidis S.\u00a0Lamparter T.\u00a0Mailis C.\u00a0Neuenstadt \u00d6.L.\u00a0\u00d6z\u00e7ep C.\u00a0Pinkel C.\u00a0Svingos D.\u00a0Zheleznyakov I.\u00a0Horrocks Y.E.\u00a0Ioannidis and R.\u00a0M\u00f6ller Ontology-based integration of streaming and static relational data with optique in: SIGMOD Conference ACM 2016 pp.\u00a02109\u20132112. doi:10.1145\/2882903.2899385.","DOI":"10.1145\/2882903.2899385"},{"key":"e_1_3_2_75_2","doi-asserted-by":"publisher","unstructured":"E.\u00a0Kharlamov D.\u00a0Hovland E.\u00a0Jim\u00e9nez-Ruiz D.\u00a0Lanti H.\u00a0Lie C.\u00a0Pinkel M.\u00a0Rezk M.G.\u00a0Skj\u00e6veland E.\u00a0Thorstensen G.\u00a0Xiao D.\u00a0Zheleznyakov and I.\u00a0Horrocks Ontology based access to exploration data at statoil in: International Semantic Web Conference (2) Lecture Notes in Computer Science Vol. 9367 Springer 2015 pp.\u00a093\u2013112. doi:10.1007\/978-3-319-25010-6_6.","DOI":"10.1007\/978-3-319-25010-6_6"},{"key":"e_1_3_2_76_2","doi-asserted-by":"publisher","unstructured":"E.\u00a0Kharlamov Y.\u00a0Kotidis T.\u00a0Mailis C.\u00a0Neuenstadt C.\u00a0Nikolaou \u00d6.L.\u00a0\u00d6z\u00e7ep C.\u00a0Svingos D.\u00a0Zheleznyakov S.\u00a0Brandt I.\u00a0Horrocks Y.E.\u00a0Ioannidis S.\u00a0Lamparter and R.\u00a0M\u00f6ller Towards analytics aware ontology based access to static and streaming data in: International Semantic Web Conference (2) Lecture Notes in Computer Science Vol. 9982 2016 pp.\u00a0344\u2013362. doi:10.1007\/978-3-319-46547-0_31.","DOI":"10.1007\/978-3-319-46547-0_31"},{"key":"e_1_3_2_77_2","doi-asserted-by":"publisher","unstructured":"C.\u00a0Kiefer A.\u00a0Bernstein and A.\u00a0Locher Adding data mining support to SPARQL via statistical relational learning methods in: ESWC Lecture Notes in Computer Science Vol. 5021 Springer 2008 pp.\u00a0478\u2013492. doi:10.1007\/978-3-540-68234-9_36.","DOI":"10.1007\/978-3-540-68234-9_36"},{"key":"e_1_3_2_78_2","doi-asserted-by":"publisher","unstructured":"M.\u00a0Kolchin P.\u00a0Wetz E.\u00a0Kiesling and A.M.\u00a0Tjoa YABench: A comprehensive framework for RDF stream processor correctness and performance assessment in: ICWE Lecture Notes in Computer Science Vol. 9671 Springer 2016 pp.\u00a0280\u2013298. doi:10.1007\/978-3-319-38791-8_16.","DOI":"10.1007\/978-3-319-38791-8_16"},{"key":"e_1_3_2_79_2","doi-asserted-by":"publisher","unstructured":"A.\u00a0Koliousis M.\u00a0Weidlich R.C.\u00a0Fernandez A.L.\u00a0Wolf P.\u00a0Costa and P.R.\u00a0Pietzuch SABER: Window-based hybrid stream processing for heterogeneous architectures in: SIGMOD Conference ACM 2016 pp.\u00a0555\u2013569. doi:10.1145\/2882903.2882906.","DOI":"10.1145\/2882903.2882906"},{"key":"e_1_3_2_80_2","doi-asserted-by":"publisher","unstructured":"S.\u00a0Komazec D.\u00a0Cerri and D.\u00a0Fensel Sparkwave: Continuous schema-enhanced pattern matching over RDF data streams in: DEBS ACM 2012 pp.\u00a058\u201368. doi:10.1145\/2335484.2335491.","DOI":"10.1145\/2335484.2335491"},{"key":"e_1_3_2_81_2","doi-asserted-by":"publisher","unstructured":"S.\u00a0Kulkarni N.\u00a0Bhagat M.\u00a0Fu V.\u00a0Kedigehalli C.\u00a0Kellogg S.\u00a0Mittal J.M.\u00a0Patel K.\u00a0Ramasamy and S.\u00a0Taneja Twitter heron: Stream processing at scale in: SIGMOD Conference ACM 2015 pp.\u00a0239\u2013250. doi:10.1145\/2723372.2742788.","DOI":"10.1145\/2723372.2742788"},{"key":"e_1_3_2_82_2","doi-asserted-by":"publisher","unstructured":"K.\u00a0Kyzirakos M.\u00a0Karpathiotakis K.\u00a0Bereta G.\u00a0Garbis C.\u00a0Nikolaou P.\u00a0Smeros S.\u00a0Giannakopoulou K.\u00a0Dogani and M.\u00a0Koubarakis The spatiotemporal RDF store strabon in: SSTD Lecture Notes in Computer Science Vol. 8098 Springer 2013 pp.\u00a0496\u2013500. doi:10.1007\/978-3-642-40235-7_35.","DOI":"10.1007\/978-3-642-40235-7_35"},{"key":"e_1_3_2_83_2","doi-asserted-by":"publisher","unstructured":"D.\u00a0Le Phuoc M.\u00a0Dao-Tran J.X.\u00a0Parreira and M.\u00a0Hauswirth A native and adaptive approach for unified processing of linked streams and linked data in: International Semantic Web Conference (1) Lecture Notes in Computer Science Vol. 7031 Springer 2011 pp.\u00a0370\u2013388. doi:10.1007\/978-3-642-25073-6_24.","DOI":"10.1007\/978-3-642-25073-6_24"},{"key":"e_1_3_2_84_2","doi-asserted-by":"publisher","unstructured":"D.\u00a0Le Phuoc M.\u00a0Dao-Tran M.\u00a0Pham P.A.\u00a0Boncz T.\u00a0Eiter and M.\u00a0Fink Linked stream data processing engines: Facts and figures in: International Semantic Web Conference (2) Lecture Notes in Computer Science Vol. 7650 Springer 2012 pp.\u00a0300\u2013312. doi:10.1007\/978-3-642-35173-0_20.","DOI":"10.1007\/978-3-642-35173-0_20"},{"key":"e_1_3_2_85_2","unstructured":"F.\u00a0L\u00e9cu\u00e9 Diagnosing changes in an ontology stream: A DL reasoning approach in: AAAI AAAI Press 2012. Available online athttps:\/\/dl.acm.org\/citation.cfm?id=2900740."},{"key":"e_1_3_2_86_2","doi-asserted-by":"crossref","unstructured":"F.\u00a0L\u00e9cu\u00e9 Towards scalable exploration of diagnoses in an ontology stream in: AAAI AAAI Press 2014 pp.\u00a087\u201393. Available online athttps:\/\/dl.acm.org\/citation.cfm?id=2893889.","DOI":"10.1609\/aaai.v28i1.8708"},{"key":"e_1_3_2_87_2","unstructured":"F.\u00a0L\u00e9cu\u00e9 and J.Z.\u00a0Pan Predicting knowledge in an ontology stream in: IJCAI IJCAI\/AAAI 2013 pp.\u00a02662\u20132669. Available online athttps:\/\/dl.acm.org\/citation.cfm?id=2540512."},{"key":"e_1_3_2_88_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2014.07.002"},{"key":"e_1_3_2_89_2","unstructured":"D.\u00a0Lembo and M.\u00a0Ruzzi Consistent query answering over description logic ontologies in: Description Logics Vol.\u00a0250 CEUR-WS.org 2007. Available online athttp:\/\/ceur-ws.org\/Vol-250\/paper_26.pdf."},{"key":"e_1_3_2_90_2","doi-asserted-by":"publisher","unstructured":"M.\u00a0Liu M.\u00a0Li D.\u00a0Golovnya E.A.\u00a0Rundensteiner and K.T.\u00a0Claypool Sequence pattern query processing over out-of-order event streams in: ICDE IEEE Computer Society 2009 pp.\u00a0784\u2013795. doi:10.1109\/ICDE.2009.95.","DOI":"10.1109\/ICDE.2009.95"},{"key":"e_1_3_2_91_2","doi-asserted-by":"publisher","unstructured":"D.\u00a0Luckham The power of events: An introduction to complex event processing in distributed enterprise systems in: RuleML Lecture Notes in Computer Science Vol. 5321 Springer 2008 p. 3. doi:10.1007\/978-3-540-88808-6_2.","DOI":"10.1007\/978-3-540-88808-6_2"},{"key":"e_1_3_2_92_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2014.02.001"},{"key":"e_1_3_2_93_2","doi-asserted-by":"publisher","unstructured":"A.\u00a0Mauri J.-P.\u00a0Calbimonte D.\u00a0Dell\u2019Aglio M.\u00a0Balduini M.\u00a0Brambilla E.\u00a0Della Valle and K.\u00a0Aberer TripleWave: Spreading RDF streams on the web in: International Semantic Web Conference (2) Lecture Notes in Computer Science Vol. 9982 Springer 2016 pp.\u00a0140\u2013149. doi:10.1007\/978-3-319-46547-0_15.","DOI":"10.1007\/978-3-319-46547-0_15"},{"key":"e_1_3_2_94_2","doi-asserted-by":"publisher","DOI":"10.1145\/2627692.2627694"},{"key":"e_1_3_2_95_2","unstructured":"X.\u00a0Meng J.K.\u00a0Bradley B.\u00a0Yavuz E.R.\u00a0Sparks S.\u00a0Venkataraman D.\u00a0Liu J.\u00a0Freeman D.B.\u00a0Tsai M.\u00a0Amde S.\u00a0Owen D.\u00a0Xin R.\u00a0Xin M.J.\u00a0Franklin R.\u00a0Zadeh M.\u00a0Zaharia and A.\u00a0Talwalkar MLlib: Machine Learning in Apache Spark CoRR abs\/1505.06807 (2015)."},{"key":"e_1_3_2_96_2","doi-asserted-by":"publisher","unstructured":"A.\u00a0Mileo A.\u00a0Abdelrahman S.\u00a0Policarpio and M.\u00a0Hauswirth StreamRule: A nonmonotonic stream reasoning system for the semantic web in: RR Lecture Notes in Computer Science Vol. 7994 Springer 2013 pp.\u00a0247\u2013252. doi:10.1007\/978-3-642-39666-3_23.","DOI":"10.1007\/978-3-642-39666-3_23"},{"key":"e_1_3_2_97_2","doi-asserted-by":"crossref","unstructured":"B.\u00a0Motik Y.\u00a0Nenov R.\u00a0Piro I.\u00a0Horrocks and D.\u00a0Olteanu Parallel materialisation of datalog programs in centralised main-memory RDF systems in: AAAI AAAI Press 2014 pp.\u00a0129\u2013137. Available online athttps:\/\/dl.acm.org\/citation.cfm?id=2893896.","DOI":"10.1609\/aaai.v28i1.8730"},{"key":"e_1_3_2_98_2","doi-asserted-by":"crossref","unstructured":"B.\u00a0Motik Y.\u00a0Nenov R.E.F.\u00a0Piro and I.\u00a0Horrocks Incremental update of datalog materialisation: The backward\/forward algorithm in: AAAI AAAI Press 2015 pp.\u00a01560\u20131568. Available online athttps:\/\/dl.acm.org\/citation.cfm?id=2886537.","DOI":"10.1609\/aaai.v29i1.9409"},{"key":"e_1_3_2_99_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2005.05.001"},{"key":"e_1_3_2_100_2","doi-asserted-by":"publisher","unstructured":"K.\u00a0Mouratidis S.\u00a0Bakiras and D.\u00a0Papadias Continuous monitoring of top-k queries over sliding windows in: SIGMOD Conference ACM 2006 pp.\u00a0635\u2013646. doi:10.1145\/1142473.1142544.","DOI":"10.1145\/1142473.1142544"},{"key":"e_1_3_2_101_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2009.07.003"},{"key":"e_1_3_2_102_2","doi-asserted-by":"publisher","unstructured":"Y.\u00a0Nenov R.\u00a0Piro B.\u00a0Motik I.\u00a0Horrocks Z.\u00a0Wu and J.\u00a0Banerjee RDFox: A highly-scalable RDF store in: International Semantic Web Conference (2) Lecture Notes in Computer Science Vol. 9367 Springer 2015 pp.\u00a03\u201320. doi:10.1007\/978-3-319-25010-6_1.","DOI":"10.1007\/978-3-319-25010-6_1"},{"key":"e_1_3_2_103_2","unstructured":"\u00d6.L.\u00a0\u00d6z\u00e7ep R.\u00a0M\u00f6ller and C.\u00a0Neuenstadt A stream-temporal query language for ontology based data access in: Description Logics CEUR Workshop Proceedings Vol. 1193 CEUR-WS.org 2014 pp.\u00a0696\u2013708. Available online athttp:\/\/ceur-ws.org\/Vol-1193\/paper_47.pdf."},{"key":"e_1_3_2_104_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.artint.2015.10.004"},{"key":"e_1_3_2_105_2","unstructured":"M.\u00a0Perry and J.\u00a0Herring OGC GeoSPARQL \u2013 A Geographic Query Language for RDF Data Technical report Open Geospatial Consortium 2012. Available online at http:\/\/www.opengeospatial.org\/standards\/geosparql."},{"key":"e_1_3_2_106_2","doi-asserted-by":"publisher","unstructured":"M.\u00a0Potamias K.\u00a0Patroumpas and T.K.\u00a0Sellis Sampling trajectory streams with spatiotemporal criteria in: SSDBM IEEE Computer Society 2006 pp.\u00a0275\u2013284. doi:10.1109\/SSDBM.2006.45.","DOI":"10.1109\/SSDBM.2006.45"},{"key":"e_1_3_2_107_2","doi-asserted-by":"publisher","unstructured":"A.\u00a0Potter B.\u00a0Motik Y.\u00a0Nenov and I.\u00a0Horrocks Distributed RDF query answering with dynamic data exchange in: International Semantic Web Conference (1) Lecture Notes in Computer Science Vol. 9981 2016 pp.\u00a0480\u2013497. doi:10.1007\/978-3-319-46523-4_29.","DOI":"10.1007\/978-3-319-46523-4_29"},{"key":"e_1_3_2_108_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2016.2541999"},{"key":"e_1_3_2_109_2","doi-asserted-by":"publisher","unstructured":"Y.\u00a0Ren and J.Z.\u00a0Pan Optimising ontology stream reasoning with truth maintenance system in: CIKM ACM 2011 pp.\u00a0831\u2013836. doi:10.1145\/2063576.2063696.","DOI":"10.1145\/2063576.2063696"},{"key":"e_1_3_2_110_2","doi-asserted-by":"publisher","unstructured":"M.M.\u00a0Ribeiro Belief Revision in Non-Classical Logics Springer Briefs in Computer Science Springer 2013. doi:10.1007\/978-1-4471-4186-0.","DOI":"10.1007\/978-1-4471-4186-0"},{"key":"e_1_3_2_111_2","doi-asserted-by":"publisher","unstructured":"M.\u00a0Rinne M.\u00a0Solanki and E.\u00a0Nuutila RFID-based logistics monitoring with semantics-driven event processing in: DEBS ACM 2016 pp.\u00a0238\u2013245. doi:10.1145\/2933267.2933300.","DOI":"10.1145\/2933267.2933300"},{"key":"e_1_3_2_112_2","doi-asserted-by":"crossref","unstructured":"H.\u00a0Rott Change Choice and Inference: A Study of Belief Revision and Nonmonotonic Reasoning Vol. 42 Oxford University Press 2001. ISBN 9780198503064.","DOI":"10.1093\/oso\/9780198503064.001.0001"},{"key":"e_1_3_2_113_2","doi-asserted-by":"publisher","unstructured":"T.\u00a0Saveta E.\u00a0Daskalaki G.\u00a0Flouris I.\u00a0Fundulaki M.\u00a0Herschel and A.N.\u00a0Ngomo LANCE: Piercing to the heart of instance matching tools in: International Semantic Web Conference (1) Lecture Notes in Computer Science Vol.\u00a09366 Springer 2015 pp.\u00a0375\u2013391. doi:10.1007\/978-3-319-25007-6_22.","DOI":"10.1007\/978-3-319-25007-6_22"},{"key":"e_1_3_2_114_2","doi-asserted-by":"publisher","unstructured":"T.\u00a0Scharrenbach J.\u00a0Urbani A.\u00a0Margara E.\u00a0Della Valle and A.\u00a0Bernstein Seven commandments for benchmarking semantic flow processing systems in: ESWC Lecture Notes in Computer Science Vol. 7882 Springer 2013 pp.\u00a0305\u2013319. doi:10.1007\/978-3-642-38288-8_21.","DOI":"10.1007\/978-3-642-38288-8_21"},{"issue":"10","key":"e_1_3_2_115_2","first-page":"804","article-title":"S2RDF: RDF querying with SPARQL on spark","volume":"9","author":"Sch\u00e4tzle A.","year":"2016","unstructured":"A.\u00a0Sch\u00e4tzle, M.\u00a0Przyjaciel-Zablocki, S.\u00a0Skilevic and G.\u00a0Lausen, S2RDF: RDF querying with SPARQL on spark, PVLDB9(10) (2016), 804\u2013815. Available online athttps:\/\/dl.acm.org\/citation.cfm?id=2977806.","journal-title":"PVLDB"},{"key":"e_1_3_2_116_2","doi-asserted-by":"publisher","unstructured":"L.\u00a0Serafini and A.\u00a0Tamilin DRAGO: Distributed reasoning architecture for the semantic web in: ESWC Lecture Notes in Computer Science Vol. 3532 Springer 2005 pp.\u00a0361\u2013376. doi:10.1007\/11431053_25.","DOI":"10.1007\/11431053_25"},{"key":"e_1_3_2_117_2","doi-asserted-by":"publisher","unstructured":"A.\u00a0Skarlatidis G.\u00a0Paliouras A.\u00a0Artikis and G.A.\u00a0Vouros Probabilistic event calculus for event recognition ACM Trans. Comput. Log.16(2) (2015) 11. doi:10.1145\/2699916.","DOI":"10.1145\/2699916"},{"key":"e_1_3_2_118_2","doi-asserted-by":"publisher","unstructured":"U.\u00a0Srivastava and J.\u00a0Widom Flexible time management in data stream systems in: PODS ACM 2004 pp.\u00a0263\u2013274. doi:10.1145\/1055558.1055596.","DOI":"10.1145\/1055558.1055596"},{"key":"e_1_3_2_119_2","unstructured":"H.\u00a0Stuckenschmidt S.\u00a0Ceri E.\u00a0Della Valle and F.\u00a0van Harmelen Towards expressive stream reasoning in: Semantic Challenges in Sensor Networks Dagstuhl Seminar Proceedings Vol. 10042 Schloss Dagstuhl \u2013 Leibniz-Zentrum f\u00fcr Informatik Germany 2010. Available online athttp:\/\/drops.dagstuhl.de\/opus\/volltexte\/2010\/2555\/."},{"key":"e_1_3_2_120_2","doi-asserted-by":"publisher","unstructured":"S.\u00a0Tallevi-Diotallevi S.\u00a0Kotoulas L.\u00a0Foschini F.\u00a0L\u00e9cu\u00e9 and A.\u00a0Corradi Real-time urban monitoring in Dublin using semantic and stream technologies in: International Semantic Web Conference (2) Lecture Notes in Computer Science Vol. 8219 Springer 2013 pp.\u00a0178\u2013194. doi:10.1007\/978-3-642-41338-4_12.","DOI":"10.1007\/978-3-642-41338-4_12"},{"key":"e_1_3_2_121_2","doi-asserted-by":"crossref","unstructured":"N.\u00a0Tatbul U.\u00a0\u00c7etintemel S.B.\u00a0Zdonik M.\u00a0Cherniack and M.\u00a0Stonebraker Load shedding in a data stream manager in: VLDB 2003 pp.\u00a0309\u2013320. Available online athttps:\/\/dl.acm.org\/citation.cfm?id=1315479.","DOI":"10.1016\/B978-012722442-8\/50035-5"},{"key":"e_1_3_2_122_2","doi-asserted-by":"publisher","unstructured":"M.\u00a0Tiger and F.\u00a0Heintz Stream reasoning using temporal logic and predictive probabilistic state models in: TIME IEEE Computer Society 2016 pp.\u00a0196\u2013205. doi:10.1109\/TIME.2016.28.","DOI":"10.1109\/TIME.2016.28"},{"key":"e_1_3_2_123_2","doi-asserted-by":"publisher","unstructured":"R.\u00a0Tommasini E.\u00a0Della Valle M.\u00a0Balduini and D.\u00a0Dell\u2019Aglio Heaven: A framework for systematic comparative research approach for RSP engines in: ESWC Lecture Notes in Computer Science Vol. 9678 Springer 2016 pp.\u00a0250\u2013265. doi:10.1007\/978-3-319-34129-3_16.","DOI":"10.1007\/978-3-319-34129-3_16"},{"key":"e_1_3_2_124_2","unstructured":"A.\u00a0Turhan and E.\u00a0Zenker Towards temporal fuzzy query answering on stream-based data in: HiDeSt@KI CEUR Workshop Proceedings Vol. 1447 CEUR-WS.org 2015 pp.\u00a056\u201369. Available online athttp:\/\/ceur-ws.org\/Vol-1447\/paper5.pdf."},{"key":"e_1_3_2_125_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.websem.2011.05.004"},{"key":"e_1_3_2_126_2","doi-asserted-by":"publisher","unstructured":"J.\u00a0Urbani A.\u00a0Margara C.J.H.\u00a0Jacobs F.\u00a0van Harmelen and H.E.\u00a0Bal DynamiTE: Parallel materialization of dynamic RDF data in: International Semantic Web Conference (1) Lecture Notes in Computer Science Vol. 8218 Springer 2013 pp.\u00a0657\u2013672. doi:10.1007\/978-3-642-41335-3_41.","DOI":"10.1007\/978-3-642-41335-3_41"},{"key":"e_1_3_2_127_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30567-5_1"},{"key":"e_1_3_2_128_2","unstructured":"O.\u00a0Walavalkar A.\u00a0Joshi T.\u00a0Finin and Y.\u00a0Yesha Streaming knowledge bases in: In International Workshop on Scalable Semantic Web Knowledge Base Systems 2008. Available online athttp:\/\/ebiquity.umbc.edu\/paper\/html\/id\/416\/Streaming-Knowledge-Bases."},{"key":"e_1_3_2_129_2","unstructured":"R.\u00a0Yan M.T.\u00a0Greaves W.P.\u00a0Smith and D.L.\u00a0McGuinness Remembering the important things: Semantic importance in stream reasoning in: SR+SWIT@ISWC CEUR Workshop Proceedings Vol. 1783 CEUR-WS.org 2016 pp.\u00a049\u201354. Available online athttp:\/\/ceur-ws.org\/Vol-1783\/paper-05.pdf."},{"key":"e_1_3_2_130_2","doi-asserted-by":"publisher","DOI":"10.1145\/2934664"},{"key":"e_1_3_2_131_2","doi-asserted-by":"publisher","unstructured":"X.\u00a0Zhang G.\u00a0Cheng and Y.\u00a0Qu Ontology summarization based on rdf sentence graph in: WWW ACM 2007 pp.\u00a0707\u2013716. doi:10.1145\/1242572.1242668.","DOI":"10.1145\/1242572.1242668"},{"key":"e_1_3_2_132_2","doi-asserted-by":"publisher","unstructured":"Y.\u00a0Zhang M.\u00a0Pham \u00d3.\u00a0Corcho and J.\u00a0Calbimonte SRBench: A streaming RDF\/SPARQL benchmark in: International Semantic Web Conference (1) Lecture Notes in Computer Science Vol. 7649 Springer 2012 pp.\u00a0641\u2013657. doi:10.1007\/978-3-642-35176-1.","DOI":"10.1007\/978-3-642-35176-1"}],"container-title":["Data Science"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/DS-170006","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/DS-170006","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/DS-170006","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T18:09:59Z","timestamp":1777399799000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/DS-170006"}},"subtitle":["A summary of ten years of research and a vision for the next decade"],"short-title":[],"issued":{"date-parts":[[2017,10,17]]},"references-count":131,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2017,12,8]]}},"alternative-id":["10.3233\/DS-170006"],"URL":"https:\/\/doi.org\/10.3233\/ds-170006","relation":{},"ISSN":["2451-8484","2451-8492"],"issn-type":[{"value":"2451-8484","type":"print"},{"value":"2451-8492","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,17]]}}}