{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T13:40:03Z","timestamp":1743082803957,"version":"3.40.3"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319536392"},{"type":"electronic","value":"9783319536408"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-53640-8_2","type":"book-chapter","created":{"date-parts":[[2017,2,14]],"date-time":"2017-02-14T07:47:32Z","timestamp":1487058452000},"page":"17-22","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Data Multiverse: The Uncertainty Challenge of Future Big Data Analytics"],"prefix":"10.1007","author":[{"given":"Radu","family":"Tudoran","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bogdan","family":"Nicolae","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G\u00f6tz","family":"Brasche","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,2,15]]},"reference":[{"key":"2_CR1","unstructured":"Flink. https:\/\/flink.apache.org\/"},{"key":"2_CR2","unstructured":"The Zettabyte Era: Trends and Analysis. Cisco Systems, White Paper 1465272001812119 (2016)"},{"key":"2_CR3","doi-asserted-by":"crossref","unstructured":"Akidau, T., Balikov, A., Bekiroglu, K., Chernyak, S., Haberman, J., Lax, R., McVeety, S., Mills, D., Nordstrom, P., Whittle, S.: Millwheel: Fault-tolerant stream processing at internet scale. In: Very Large Data Bases, pp. 734\u2013746 (2013)","DOI":"10.14778\/2536222.2536229"},{"key":"2_CR4","doi-asserted-by":"publisher","first-page":"1792","DOI":"10.14778\/2824032.2824076","volume":"8","author":"T Akidau","year":"2015","unstructured":"Akidau, T., Bradshaw, R., Chambers, C., Chernyak, S., Fernndez-Moctezuma, R.J., Lax, R., McVeety, S., Mills, D., Perry, F., Schmidt, E., Whittle, S.: The dataflow model: A practical approach to balancing correctness, latency, and cost in massive-scale, unbounded, out-of-order data processing. Proc. VLDB Endowment 8, 1792\u20131803 (2015)","journal-title":"Proc. VLDB Endowment"},{"key":"2_CR5","doi-asserted-by":"crossref","unstructured":"Cao, L., Wei, M., Yang, D., Rundensteiner, E.A.: Online outlier exploration over large datasets. In: 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2015, Sydney, Australia, pp. 89\u201398 (2015)","DOI":"10.1145\/2783258.2783387"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Carbone, P., Traub, J., Katsifodimos, A., Haridi, S., Markl, V.: Cutty: Aggregate sharing for user-defined windows. In: 25th ACM International on Conference on Information and Knowledge Management, CIKM 2016, pp. 1201\u20131210 (2016)","DOI":"10.1145\/2983323.2983807"},{"key":"2_CR7","unstructured":"Dean, J., Ghemawat, S.: Mapreduce: Simplified data processing on large clusters. In: 6th Conference on Symposium on Opearting Systems Design and Implementation, OSDI 2004, pp. 10:1\u201310:13. USENIX Association, San Francisco (2004)"},{"issue":"3","key":"2_CR8","doi-asserted-by":"publisher","first-page":"469","DOI":"10.1007\/s00778-006-0017-y","volume":"17","author":"MA Hammad","year":"2008","unstructured":"Hammad, M.A., Aref, W.G., Elmagarmid, A.K.: Query processing of multi-way stream window joins. VLDB J. 17(3), 469\u2013488 (2008)","journal-title":"VLDB J."},{"key":"2_CR9","doi-asserted-by":"crossref","unstructured":"Neumeyer, L., Robbins, B., Kesari, A., Nair, A.: S4: Distributed stream computing platform. In: 10th IEEE International Conference on Data Mining Workshops, ICDMW 2010, Los Alamitos, USA, pp. 170\u2013177 (2010)","DOI":"10.1109\/ICDMW.2010.172"},{"key":"2_CR10","doi-asserted-by":"crossref","unstructured":"Nicolae, B., Costa, C., Misale, C., Katrinis, K., Park, Y.: Leveraging adaptive I\/O to optimize collective data shuffling patterns for big data analytics. IEEE Trans. Parallel Distrib. Syst. (2017)","DOI":"10.1109\/CCGrid.2016.85"},{"key":"2_CR11","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.jpdc.2015.09.006","volume":"87","author":"B Nicolae","year":"2016","unstructured":"Nicolae, B., Kochut, A., Karve, A.: Towards scalable on-demand collective data access in IaaS clouds: An adaptive collaborative content exchange proposal. J. Parallel Distrib. Comput. 87, 67\u201379 (2016)","journal-title":"J. Parallel Distrib. Comput."},{"key":"2_CR12","volume-title":"The Fourth Paradigm: Data-Intensive Scientific Discovery","author":"T Hey","year":"2009","unstructured":"Hey, T., Tansley, S., Tolle, K.M.: The Fourth Paradigm: Data-Intensive Scientific Discovery. Microsoft Research, Redmond (2009)"},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Toshniwal, A., et al.: Storm@twitter. In: 2014 ACM SIGMOD International Conference on Management of Data, SIGMOD 2014, Snowbird, USA, pp. 147\u2013156 (2014)","DOI":"10.1145\/2588555.2595641"},{"key":"2_CR14","doi-asserted-by":"publisher","first-page":"274","DOI":"10.1016\/j.future.2015.01.016","volume":"54","author":"R Tudoran","year":"2016","unstructured":"Tudoran, R., Costan, A., Nano, O., Santos, I., Soncu, H., Antoniu, G.: Jetstream: Enabling high throughput live event streaming on multi-site clouds. Future Gener. Comput. Syst. 54, 274\u2013291 (2016)","journal-title":"Future Gener. Comput. Syst."},{"issue":"1","key":"2_CR15","doi-asserted-by":"publisher","first-page":"5:1","DOI":"10.1145\/2109196.2109201","volume":"37","author":"D Yang","year":"2012","unstructured":"Yang, D., Rundensteiner, E.A., Ward, M.O.: Shared execution strategy for neighbor-based pattern mining requests over streaming windows. ACM Trans. Database Syst. 37(1), 5:1\u20135:44 (2012)","journal-title":"ACM Trans. Database Syst."},{"key":"2_CR16","unstructured":"Zaharia, M., Chowdhury, M., Das, T., Dave, A., Ma, J., McCauly, M., Franklin, M.J., Shenker, S., Stoica, I.: Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing. In: The 9th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2012, San Jose, USA (2012)"},{"key":"2_CR17","doi-asserted-by":"crossref","unstructured":"Zaharia, M., Das, T., Li, H., Shenker, S., Stoica, I.: Discretized streams: An efficient and fault-tolerant model for stream processing on large clusters. In: 4th USENIX Conference on Hot Topics in Cloud Ccomputing, HotCloud 212 (2012)","DOI":"10.21236\/ADA575859"}],"container-title":["Lecture Notes in Computer Science","Semantic Keyword-Based Search on Structured Data Sources"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-53640-8_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,2,5]],"date-time":"2021-02-05T12:29:13Z","timestamp":1612528153000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-53640-8_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319536392","9783319536408"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-53640-8_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]},"assertion":[{"value":"15 February 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"IKC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International KEYSTONE Conference on Semantic Keyword-Based Search on Structured Data Sources","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cluj-Napoca","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Romania","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 September 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 September 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"skssds2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}