{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T06:38:32Z","timestamp":1743057512806,"version":"3.40.3"},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030830137"},{"type":"electronic","value":"9783030830144"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[[2021]]},"DOI":"10.1007\/978-3-030-83014-4_7","type":"book-chapter","created":{"date-parts":[[2021,7,22]],"date-time":"2021-07-22T16:03:12Z","timestamp":1626969792000},"page":"134-153","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Catalog Integration of Heterogeneous and\u00a0Volatile Product Data"],"prefix":"10.1007","author":[{"given":"Oliver","family":"Schmidts","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bodo","family":"Kraft","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marvin","family":"Winkens","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Albert","family":"Z\u00fcndorf","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,7,23]]},"reference":[{"key":"7_CR1","doi-asserted-by":"publisher","unstructured":"Allweyer, O., Schorr, C., Krieger, R., Mohr, A.: Classification of products in retail using partially abbreviated product names only. In: Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA, pp. 67\u201377. INSTICC. SciTePress (2020). https:\/\/doi.org\/10.5220\/0009821400670077","DOI":"10.5220\/0009821400670077"},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Aumueller, D., Do, H.H., Massmann, S., Rahm, E.: Schema and ontology matching with COMA++. In: Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, pp. 906\u2013908. ACM (2005)","DOI":"10.1145\/1066157.1066283"},{"issue":"11","key":"7_CR3","doi-asserted-by":"publisher","first-page":"695","DOI":"10.14778\/3402707.3402710","volume":"4","author":"PA Bernstein","year":"2011","unstructured":"Bernstein, P.A., Madhavan, J., Rahm, E.: Generic schema matching, ten years later. Proc. VLDB Endow. 4(11), 695\u2013701 (2011)","journal-title":"Proc. VLDB Endow."},{"issue":"2","key":"7_CR4","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/s13222-019-00313-y","volume":"19","author":"C Bizer","year":"2019","unstructured":"Bizer, C., Primpeli, A., Peeters, R.: Using the semantic web as a\u00a0source of training data. Datenbank-Spektrum 19(2), 127\u2013135 (2019). https:\/\/doi.org\/10.1007\/s13222-019-00313-y","journal-title":"Datenbank-Spektrum"},{"key":"7_CR5","doi-asserted-by":"crossref","unstructured":"Bojanowski, P., Grave, E., Joulin, A., Mikolov, T.: Enriching word vectors with subword information. arXiv preprint arXiv:1607.04606 (2016)","DOI":"10.1162\/tacl_a_00051"},{"issue":"3","key":"7_CR6","doi-asserted-by":"publisher","first-page":"302","DOI":"10.1016\/j.is.2012.10.002","volume":"38","author":"MG de Carvalho","year":"2013","unstructured":"de Carvalho, M.G., Laender, A.H., Gon\u00e7alves, M.A., da Silva, A.S.: An evolutionary approach to complex schema matching. Inf. Syst. 38(3), 302\u2013316 (2013). https:\/\/doi.org\/10.1016\/j.is.2012.10.002","journal-title":"Inf. Syst."},{"key":"7_CR7","doi-asserted-by":"publisher","unstructured":"Chen, Z., Jia, H., Heflin, J., Davison, B.D.: Generating schema labels through dataset content analysis. In: Companion Proceedings of the the Web Conference 2018, WWW 2018, pp. 1515\u20131522. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland (2018). https:\/\/doi.org\/10.1145\/3184558.3191601","DOI":"10.1145\/3184558.3191601"},{"key":"7_CR8","doi-asserted-by":"publisher","unstructured":"Comito, C., Patarin, S., Talia, D.: A semantic overlay network for P2P schema-based data integration. In: 11th IEEE Symposium on Computers and Communications (ISCC 2006), pp. 88\u201394, June 2006. https:\/\/doi.org\/10.1109\/ISCC.2006.19. ISSN 1530-1346","DOI":"10.1109\/ISCC.2006.19"},{"key":"7_CR9","doi-asserted-by":"publisher","unstructured":"Dessloch, S., Hernandez, M.A., Wisnesky, R., Radwan, A., Zhou, J.: Orchid: integrating schema mapping and ETL. In: 2008 IEEE 24th International Conference on Data Engineering, pp. 1307\u20131316, April 2008. https:\/\/doi.org\/10.1109\/ICDE.2008.4497540","DOI":"10.1109\/ICDE.2008.4497540"},{"key":"7_CR10","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding (2019)"},{"key":"7_CR11","doi-asserted-by":"publisher","unstructured":"Foley, J., Bendersky, M., Josifovski, V.: Learning to extract local events from the web. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2015, Santiago, Chile, pp. 423\u2013432. ACM, New York (2015). https:\/\/doi.org\/10.1145\/2766462.2767739","DOI":"10.1145\/2766462.2767739"},{"issue":"1","key":"7_CR12","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1109\/TKDE.2016.2611577","volume":"29","author":"B Gu","year":"2017","unstructured":"Gu, B., et al.: The interaction between schema matching and record matching in data integration. IEEE Trans. Knowl. Data Eng. 29(1), 186\u2013199 (2017). https:\/\/doi.org\/10.1109\/TKDE.2016.2611577","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"7_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"172","DOI":"10.1007\/978-3-540-73255-6_15","volume-title":"Data Integration in the Life Sciences","author":"T Kirsten","year":"2007","unstructured":"Kirsten, T., Thor, A., Rahm, E.: Instance-based matching of large life science ontologies. In: Cohen-Boulakia, S., Tannen, V. (eds.) DILS 2007. LNCS, vol. 4544, pp. 172\u2013187. Springer, Heidelberg (2007). https:\/\/doi.org\/10.1007\/978-3-540-73255-6_15"},{"key":"7_CR14","unstructured":"Madhavan, J., Bernstein, P.A., Rahm, E.: Generic schema matching with cupid. In: VLDB, vol. 1, pp. 49\u201358 (2001)"},{"key":"7_CR15","doi-asserted-by":"publisher","unstructured":"Neumann, M., King, D., Beltagy, I., Ammar, W.: ScispaCy: fast and robust models for biomedical natural language processing. In: BioNLP@ACL (2019). https:\/\/doi.org\/10.18653\/v1\/W19-5034","DOI":"10.18653\/v1\/W19-5034"},{"key":"7_CR16","doi-asserted-by":"crossref","unstructured":"Peters, M.E., et al.: Deep contextualized word representations (2018)","DOI":"10.18653\/v1\/N18-1202"},{"key":"7_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"446","DOI":"10.1007\/978-3-319-46523-4_27","volume-title":"The Semantic Web \u2013 ISWC 2016","author":"M Pham","year":"2016","unstructured":"Pham, M., Alse, S., Knoblock, C.A., Szekely, P.: Semantic labeling: a domain-independent approach. In: Groth, P., et al. (eds.) ISWC 2016. LNCS, vol. 9981, pp. 446\u2013462. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-46523-4_27"},{"key":"7_CR18","doi-asserted-by":"publisher","unstructured":"Pomp, A., Poth, L., Kraus, V., Meisen, T.: Enhancing knowledge graphs with data representatives. In: Proceedings of the 21st International Conference on Enterprise Information Systems, pp. 49\u201360. SCITEPRESS - Science and Technology Publications, Heraklion (2019). https:\/\/doi.org\/10.5220\/0007677400490060","DOI":"10.5220\/0007677400490060"},{"issue":"5","key":"7_CR19","doi-asserted-by":"publisher","first-page":"707","DOI":"10.3233\/SW-180300","volume":"9","author":"P Ristoski","year":"2018","unstructured":"Ristoski, P., Petrovski, P., Mika, P., Paulheim, H.: A machine learning approach for product matching and categorization. Semantic Web 9(5), 707\u2013728 (2018). https:\/\/doi.org\/10.3233\/SW-180300","journal-title":"Semantic Web"},{"key":"7_CR20","doi-asserted-by":"publisher","unstructured":"Schmidts, O., Kraft, B., Siebigteroth, I., Z\u00fcndorf, A.: Schema matching with frequent changes on semi-structured input files: a machine learning approach on biological product data. In: Proceedings of the 21st International Conference on Enterprise Information Systems, pp. 208\u2013215. SCITEPRESS - Science and Technology Publications, Heraklion (2019). https:\/\/doi.org\/10.5220\/0007723602080215","DOI":"10.5220\/0007723602080215"},{"key":"7_CR21","doi-asserted-by":"publisher","unstructured":"Schmidts, O., Kraft., B., Winkens., M., Z\u00fcndorf., A.: Catalog integration of low-quality product data by attribute label ranking. In: Proceedings of the 9th International Conference on Data Science, Technology and Applications - Volume 1: DATA, pp. 90\u2013101. INSTICC. SciTePress (2020). https:\/\/doi.org\/10.5220\/0009831000900101","DOI":"10.5220\/0009831000900101"},{"key":"7_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"146","DOI":"10.1007\/11603412_5","volume-title":"Journal on Data Semantics IV","author":"P Shvaiko","year":"2005","unstructured":"Shvaiko, P., Euzenat, J.: A survey of schema-based matching approaches. In: Spaccapietra, S. (ed.) Journal on Data Semantics IV. LNCS, vol. 3730, pp. 146\u2013171. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11603412_5"},{"key":"7_CR23","doi-asserted-by":"publisher","unstructured":"Sildatke, M., Karwanni, H., Kraft, B., Schmidts, O., Z\u00fcndorf, A.: Automated software quality monitoring in research collaboration projects. In: Proceedings of the IEEE\/ACM 42nd International Conference on Software Engineering Workshops, ICSEW 2020, pp. 603\u2013610. Association for Computing Machinery, New York (2020). https:\/\/doi.org\/10.1145\/3387940.3391478","DOI":"10.1145\/3387940.3391478"},{"key":"7_CR24","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1007\/978-0-387-09823-4_34","volume-title":"Data Mining and Knowledge Discovery Handbook","author":"G Tsoumakas","year":"2010","unstructured":"Tsoumakas, G., Katakis, I., Vlahavas, I.: Mining multi-label data. In: Maimon, O., Rokach, L. (eds.) Data Mining and Knowledge Discovery Handbook, pp. 667\u2013685. Springer, Boston (2010). https:\/\/doi.org\/10.1007\/978-0-387-09823-4_34"}],"container-title":["Communications in Computer and Information Science","Data Management Technologies and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-83014-4_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,7,22]],"date-time":"2021-07-22T16:04:10Z","timestamp":1626969850000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-83014-4_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030830137","9783030830144"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-83014-4_7","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"23 July 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DATA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Data Management Technologies and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 July 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9 July 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"data2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.dataconference.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Primoris","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"70","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":"14","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":"20% - 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":"4","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":"4","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)"}}]}}