{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:49:47Z","timestamp":1742964587400,"version":"3.40.3"},"publisher-location":"Cham","reference-count":14,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783031208904"},{"type":"electronic","value":"9783031208911"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-20891-1_17","type":"book-chapter","created":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T00:03:02Z","timestamp":1667779382000},"page":"225-240","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A Service-Based Framework for\u00a0Adaptive Data Curation in\u00a0Data Lakehouses"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6403-2157","authenticated-orcid":false,"given":"Firas","family":"Zouari","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chirine","family":"Ghedira-Guegan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khouloud","family":"Boukadi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nadia","family":"Kabachi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,11,7]]},"reference":[{"key":"17_CR1","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.csi.2017.01.004","volume":"54","author":"J Akoka","year":"2017","unstructured":"Akoka, J., Comyn-Wattiau, I., Laoufi, N.: Research on big data - a systematic mapping study. Comput. Stan. Interfaces 54, 105\u2013115 (2017)","journal-title":"Comput. Stan. Interfaces"},{"key":"17_CR2","series-title":"Lecture Notes in Business Information Processing","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1007\/978-3-319-92901-9_3","volume-title":"Information Systems in the Big Data Era","author":"A Beheshti","year":"2018","unstructured":"Beheshti, A., Vaghani, K., Benatallah, B., Tabebordbar, A.: CrowdCorrect: a curation pipeline for social data cleansing and curation. In: Mendling, J., Mouratidis, H. (eds.) CAiSE 2018. LNBIP, vol. 317, pp. 24\u201338. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-92901-9_3"},{"key":"17_CR3","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1016\/j.future.2021.10.021","volume":"129","author":"L Bellomarini","year":"2022","unstructured":"Bellomarini, L., et al.: Data science with Vadalog: knowledge graphs with machine learning and reasoning in practice. Futur. Gener. Comput. Syst. 129, 407\u2013422 (2022)","journal-title":"Futur. Gener. Comput. Syst."},{"issue":"1","key":"17_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40537-019-0237-9","volume":"6","author":"N Konstantinou","year":"2019","unstructured":"Konstantinou, N., et al.: VADA: an architecture for end user informed data preparation. J. Big Data 6(1), 1\u201332 (2019). https:\/\/doi.org\/10.1186\/s40537-019-0237-9","journal-title":"J. Big Data"},{"issue":"4","key":"17_CR5","doi-asserted-by":"publisher","first-page":"687","DOI":"10.1111\/disa.12122","volume":"39","author":"M Lauras","year":"2015","unstructured":"Lauras, M., Truptil, S., B\u00e9naben, F.: Towards a better management of complex emergencies through crisis management meta-modelling. Disasters 39(4), 687\u2013714 (2015)","journal-title":"Disasters"},{"issue":"1","key":"17_CR6","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1080\/02698595.2012.653119","volume":"26","author":"S Leonelli","year":"2012","unstructured":"Leonelli, S.: Classificatory theory in data-intensive science: the case of open biomedical ontologies. Int. Stud. Philos. Sci. 26(1), 47\u201365 (2012)","journal-title":"Int. Stud. Philos. Sci."},{"key":"17_CR7","unstructured":"Lord, P., Macdonald, A., Lyon, L., Giaretta, D.: From data deluge to data curation. In: In Proceedings of the 3th UK e-Science All Hands Meeting, pp. 371\u2013375 (2004)"},{"key":"17_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"474","DOI":"10.1007\/978-3-319-91563-0_29","volume-title":"Advanced Information Systems Engineering","author":"A Maccioni","year":"2018","unstructured":"Maccioni, A., Torlone, R.: KAYAK: a framework for just-in-time data preparation in a data lake. In: Krogstie, J., Reijers, H.A. (eds.) CAiSE 2018. LNCS, vol. 10816, pp. 474\u2013489. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-91563-0_29"},{"key":"17_CR9","volume-title":"Reinforcement Learning: An Introduction","author":"RS Sutton","year":"2018","unstructured":"Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction, 2nd edn. The MIT Press, Cambridge (2018)","edition":"2"},{"key":"17_CR10","doi-asserted-by":"crossref","unstructured":"Szepesv\u00e1ri, C.: Algorithms for reinforcement learning, vol. 9 (2010)","DOI":"10.1007\/978-3-031-01551-9"},{"key":"17_CR11","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1080\/14636778.2020.1853513","volume":"40","author":"N Tempini","year":"2020","unstructured":"Tempini, N.: Data curation-research: practices of data standardization and exploration in a precision medicine database. New Genet. Soc. 40, 73\u201394 (2020)","journal-title":"New Genet. Soc."},{"key":"17_CR12","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1007\/978-3-642-17358-5_7","volume-title":"Service-Oriented Computing","author":"H Wang","year":"2010","unstructured":"Wang, H., Zhou, X., Zhou, X., Liu, W., Li, W., Bouguettaya, A.: Adaptive service composition based on reinforcement learning. In: Maglio, P.P., Weske, M., Yang, J., Fantinato, M. (eds.) ICSOC 2010. LNCS, vol. 6470, pp. 92\u2013107. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-17358-5_7"},{"key":"17_CR13","series-title":"Machine Learning, and Data Science in the Pharmaceutical Industry","first-page":"191","volume-title":"The Era of Artificial Intelligence","author":"J Weatherall","year":"2021","unstructured":"Weatherall, J., et al.: Clinical trials, real-world evidence, and digital medicine. In: The Era of Artificial Intelligence. Machine Learning, and Data Science in the Pharmaceutical Industry, pp. 191\u2013215. Academic Press, Cambridge (2021)"},{"key":"17_CR14","doi-asserted-by":"crossref","unstructured":"Zouari, F., Ghedira, C., Kabachi, N., Boukadi, K.: Towards an adaptive curation services composition based on machine learning. In: IEEE International Conference on Web Services (ICWS), pp. 73\u201378 (2021)","DOI":"10.1109\/ICWS53863.2021.00022"}],"container-title":["Lecture Notes in Computer Science","Web Information Systems Engineering \u2013 WISE 2022"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-20891-1_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T00:40:53Z","timestamp":1667781653000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-20891-1_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031208904","9783031208911"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-20891-1_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"7 November 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Biarritz","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 October 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 November 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wise2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/wise2022.sigappfr.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"94","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"13","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The proceedings include 3 demo papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}