{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T07:55:56Z","timestamp":1769932556228,"version":"3.49.0"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031349843","type":"print"},{"value":"9783031349850","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-34985-0_15","type":"book-chapter","created":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T07:03:02Z","timestamp":1686553382000},"page":"145-151","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Using Knowledge Graphs for\u00a0Record Linkage: Challenges and\u00a0Opportunities"],"prefix":"10.1007","author":[{"given":"Andreas S.","family":"Andreou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donatella","family":"Firmani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jerin George","family":"Mathew","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Massimo","family":"Mecella","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michalis","family":"Pingos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,13]]},"reference":[{"issue":"11","key":"15_CR1","first-page":"1454","volume":"11","author":"M Ebraheem","year":"2018","unstructured":"Ebraheem, M., Thirumuruganathan, S., Joty, S., Ouzzani, M., Tang, N.: Distributed representations of tuples for entity resolution. PVLDB 11(11), 1454\u20131467 (2018)","journal-title":"PVLDB"},{"key":"15_CR2","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1016\/j.patrec.2020.05.025","volume":"136","author":"B Gautam","year":"2020","unstructured":"Gautam, B., Terrades, O.R., Pujadas-Mora, J.M., Valls, M.: Knowledge graph based methods for record linkage. Pattern Recogn. Lett. 136, 127\u2013133 (2020)","journal-title":"Pattern Recogn. Lett."},{"key":"15_CR3","unstructured":"Ji, S., et al.: A survey on knowledge graphs: representation, acquisition, and applications. IEEE Trans. Neural Networks Learn. Syst. (2021)"},{"key":"15_CR4","doi-asserted-by":"crossref","unstructured":"Kannan, A.V., et al.: Multimodal knowledge graph for deep learning papers and code. In: CIKM, pp. 3417\u20133420 (2020)","DOI":"10.1145\/3340531.3417439"},{"issue":"11","key":"15_CR5","first-page":"956","volume":"4","author":"P Li","year":"2011","unstructured":"Li, P., et al.: Linking temporal records. PVLDB 4(11), 956\u2013967 (2011)","journal-title":"PVLDB"},{"issue":"1","key":"15_CR6","first-page":"50","volume":"14","author":"Y Li","year":"2020","unstructured":"Li, Y., Li, J., Suhara, Y., Doan, A., Tan, W.C.: Deep entity matching with pre-trained language models. PVLDB 14(1), 50\u201360 (2020)","journal-title":"PVLDB"},{"key":"15_CR7","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":"15_CR8","doi-asserted-by":"crossref","unstructured":"Mousselly-Sergieh, H., Botschen, T., Gurevych, I., Roth, S.: A multimodal translation-based approach for knowledge graph representation learning. In: *SEM, pp. 225\u2013234 (2018)","DOI":"10.18653\/v1\/S18-2027"},{"key":"15_CR9","unstructured":"Obraczka, D., Schuchart, J., Rahm, E.: Embedding-assisted entity resolution for knowledge graphs. In: Second International Workshop on Knowledge Graph Construction (2021)"},{"key":"15_CR10","unstructured":"Pujara, J., Getoor, L.: Generic statistical relational entity resolution in knowledge graphs. arXiv preprint arXiv:1607.00992 (2016)"},{"key":"15_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1007\/978-3-030-49461-2_23","volume-title":"The Semantic Web","author":"A Saeedi","year":"2020","unstructured":"Saeedi, A., Peukert, E., Rahm, E.: Incremental multi-source entity resolution for knowledge graph completion. In: Harth, A., Kirrane, S., Ngonga Ngomo, A.-C., Paulheim, H., Rula, A., Gentile, A.L., Haase, P., Cochez, M. (eds.) ESWC 2020. LNCS, vol. 12123, pp. 393\u2013408. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-49461-2_23"},{"key":"15_CR12","unstructured":"Sarkhel, R., Nandi, A.: Cross-modal entity matching for visually rich documents. arXiv preprint arXiv:2303.00720 (2023)"},{"issue":"4","key":"15_CR13","doi-asserted-by":"publisher","first-page":"849","DOI":"10.1214\/15-BA965SI","volume":"10","author":"RC Steorts","year":"2015","unstructured":"Steorts, R.C.: Entity resolution with empirically motivated priors. Bayesian Anal. 10(4), 849\u2013875 (2015)","journal-title":"Bayesian Anal."},{"key":"15_CR14","doi-asserted-by":"crossref","unstructured":"Sun, Z., Vashishth, S., Sanyal, S., Talukdar, P., Yang, Y.: A re-evaluation of knowledge graph completion methods. In: ACL, pp. 5516\u20135522 (2020)","DOI":"10.18653\/v1\/2020.acl-main.489"},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"Teofili, T., Firmani, D., Koudas, N., Martello, V., Merialdo, P., Srivastava, D.: Effective explanations for entity resolution models. In: ICDE, pp. 2709\u20132721. IEEE (2022)","DOI":"10.1109\/ICDE53745.2022.00248"}],"container-title":["Lecture Notes in Business Information Processing","Advanced Information Systems Engineering Workshops"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-34985-0_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,3]],"date-time":"2023-08-03T15:03:53Z","timestamp":1691075033000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34985-0_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031349843","9783031349850"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34985-0_15","relation":{},"ISSN":["1865-1348","1865-1356"],"issn-type":[{"value":"1865-1348","type":"print"},{"value":"1865-1356","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"13 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CAiSE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Zaragoza","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","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":"12 June 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 June 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"35","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"caise2023","order":10,"name":"conference_id","label":"Conference ID","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":"161","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":"36","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":"22% - 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":"2.63","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":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"For the CAISE 2023 Forum 18 papers have been accepted from a total of 25 submissions. For the CAISE workshops 10 full and 9 short papers have been accepted from 25 submissions.","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)"}}]}}