{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T06:29:23Z","timestamp":1743056963339,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":9,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819708000"},{"type":"electronic","value":"9789819708017"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-981-97-0801-7_11","type":"book-chapter","created":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T08:03:04Z","timestamp":1709193784000},"page":"186-206","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Schema Integration on\u00a0Massive Data Sources"],"prefix":"10.1007","author":[{"given":"Tianbao","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haifeng","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donghua","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mengmeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bo","family":"Zheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongzhi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,3,1]]},"reference":[{"issue":"2","key":"11_CR1","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1109\/69.917566","volume":"13","author":"S Castano","year":"2001","unstructured":"Castano, S., De Antonellis, V.: Global viewing of heterogeneous data sources. IEEE Trans. Knowl. Data Eng. 13(2), 277\u2013297 (2001)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"4","key":"11_CR2","first-page":"28","volume":"24","author":"L Gravano","year":"2001","unstructured":"Gravano, L., et al.: Using q-grams in a DBMS for approximate string processing. IEEE Data Eng. Bull. 24(4), 28\u201334 (2001)","journal-title":"IEEE Data Eng. Bull."},{"key":"11_CR3","doi-asserted-by":"publisher","first-page":"1358","DOI":"10.14778\/2824032.2824036","volume":"8","author":"Y He","year":"2015","unstructured":"He, Y., Ganjam, K., Chu, X.: SEMA-JOIN: joining semantically-related tables using big table corpora. VLDB Endow. 8, 1358\u20131369 (2015)","journal-title":"VLDB Endow."},{"key":"11_CR4","unstructured":"Levenshtein, V.I.: Binary codes capable of correcting deletions, insertions, and reversals. In: Soviet Physics Doklady, vol. 10, pp. 707\u2013710 (1966)"},{"key":"11_CR5","first-page":"319","volume":"46","author":"L Li","year":"2009","unstructured":"Li, L., Wang, H., Li, J., Gao, H.: ED-SJOIN; an optimal algorithm for similarity joins with edit distance constraints. J. Comput. Res. Dev. 46, 319\u2013325 (2009)","journal-title":"J. Comput. Res. Dev."},{"issue":"10","key":"11_CR6","first-page":"1853","volume":"34","author":"XM Lin","year":"2011","unstructured":"Lin, X.M., Wang, W.: Set and string similarity queries: a survey. Jisuanji Xuebao (Chin. J. Comput.) 34(10), 1853\u20131862 (2011)","journal-title":"Jisuanji Xuebao (Chin. J. Comput.)"},{"key":"11_CR7","doi-asserted-by":"crossref","unstructured":"Palopoli, L., Sacc\u00e1, D., Ursino, D.: An automatic technique for detecting type conflicts in database schemes. In: Proceedings of the Seventh International Conference on Information and Knowledge Management, pp. 306\u2013313. ACM (1998)","DOI":"10.1145\/288627.288671"},{"issue":"4","key":"11_CR8","doi-asserted-by":"publisher","first-page":"334","DOI":"10.1007\/s007780100057","volume":"10","author":"E Rahm","year":"2001","unstructured":"Rahm, E., Bernstein, P.A.: A survey of approaches to automatic schema matching. VLDB J. 10(4), 334\u2013350 (2001)","journal-title":"VLDB J."},{"issue":"1","key":"11_CR9","doi-asserted-by":"publisher","first-page":"933","DOI":"10.14778\/1453856.1453957","volume":"1","author":"C Xiao","year":"2008","unstructured":"Xiao, C., Wang, W., Lin, X.: Ed-join: an efficient algorithm for similarity joins with edit distance constraints. Proc. VLDB Endow. 1(1), 933\u2013944 (2008)","journal-title":"Proc. VLDB Endow."}],"container-title":["Lecture Notes in Computer Science","Algorithms and Architectures for Parallel Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-0801-7_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T08:12:56Z","timestamp":1709194376000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-0801-7_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819708000","9789819708017"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-0801-7_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"1 March 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICA3PP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Algorithms and Architectures for Parallel Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Tianjin","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 October 2023","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":"ica3pp2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/tjutanklab.com\/ica3pp2023\/","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":"Online submission system","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"439","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":"145","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":"0","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","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":"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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}