{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T00:29:30Z","timestamp":1761611370586,"version":"3.41.0"},"publisher-location":"Cham","reference-count":27,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319188171"},{"type":"electronic","value":"9783319188188"}],"license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"tdm","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":[[2015]]},"DOI":"10.1007\/978-3-319-18818-8_24","type":"book-chapter","created":{"date-parts":[[2015,5,20]],"date-time":"2015-05-20T07:26:09Z","timestamp":1432106769000},"page":"388-402","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["Semi-supervised Instance Matching Using Boosted Classifiers"],"prefix":"10.1007","author":[{"given":"Mayank","family":"Kejriwal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel P.","family":"Miranker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,5,21]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Bilenko, M., Mooney, R. J.: Adaptive duplicate detection using learnable string similarity measures. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 39\u201348. ACM (2003)","DOI":"10.1145\/956750.956759"},{"key":"24_CR2","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262033589.001.0001","volume-title":"Semi-supervised Learning","author":"O Chapelle","year":"2006","unstructured":"Chapelle, O., Sch\u00f6lkopf, B., Zien, A., et al.: Semi-supervised Learning, vol. 2. MIT Press, Cambridge (2006)"},{"key":"24_CR3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-31164-2","volume-title":"Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection","author":"P Christen","year":"2012","unstructured":"Christen, P.: Data Matching: Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection. Springer, New York (2012)"},{"issue":"9","key":"24_CR4","doi-asserted-by":"publisher","first-page":"1537","DOI":"10.1109\/TKDE.2011.127","volume":"24","author":"P Christen","year":"2012","unstructured":"Christen, P.: A survey of indexing techniques for scalable record linkage and deduplication. IEEE Trans. Knowl. Data Eng. 24(9), 1537\u20131555 (2012)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"24_CR5","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"638","DOI":"10.1007\/978-3-540-24775-3_75","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"P Christen","year":"2004","unstructured":"Christen, P., Churches, T., Hegland, M.: Febrl \u2013 a parallel open source data linkage system. In: Dai, H., Srikant, R., Zhang, C. (eds.) PAKDD 2004. LNCS (LNAI), vol. 3056, pp. 638\u2013647. Springer, Heidelberg (2004)"},{"issue":"1","key":"24_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TKDE.2007.250581","volume":"19","author":"AK Elmagarmid","year":"2007","unstructured":"Elmagarmid, A.K., Ipeirotis, P.G., Verykios, V.S.: Duplicate record detection: a survey. IEEE Trans. Knowl. Data Eng. 19(1), 1\u201316 (2007)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"24_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1007\/3-540-59119-2_166","volume-title":"Computational Learning Theory","author":"Y Freund","year":"1995","unstructured":"Freund, Y., Schapire, R.E.: A decision-theoretic generalization of on-line learning and an application to boosting. In: Vit\u00e1nyi, P.M.B. (ed.) EuroCOLT 1995. LNCS, vol. 904, pp. 23\u201337. Springer, Heidelberg (1995)"},{"key":"24_CR8","unstructured":"Isele, R., Jentzsch, A., Bizer, C.: Efficient multidimensional blocking for link discovery without losing recall. In: WebDB (2011)"},{"key":"24_CR9","doi-asserted-by":"crossref","unstructured":"Kejriwal, M., Miranker, D.P.: An unsupervised algorithm for learning blocking schemes. In: 2013 IEEE 13th International Conference on Data Mining (ICDM), pp. 340\u2013349. IEEE (2013)","DOI":"10.1109\/ICDM.2013.60"},{"key":"24_CR10","unstructured":"Kejriwal, M., Miranker, D.P.: A two-step blocking scheme learner for scalable link discovery. In: Ontology Matching, p. 49 (2014)"},{"issue":"1\u20132","key":"24_CR11","doi-asserted-by":"publisher","first-page":"484","DOI":"10.14778\/1920841.1920904","volume":"3","author":"H K\u00f6pcke","year":"2010","unstructured":"K\u00f6pcke, H., Thor, A., Rahm, E.: Evaluation of entity resolution approaches on real-world match problems. Proc. VLDB Endow. 3(1\u20132), 484\u2013493 (2010)","journal-title":"Proc. VLDB Endow."},{"issue":"3","key":"24_CR12","first-page":"18","volume":"2","author":"A Liaw","year":"2002","unstructured":"Liaw, A., Wiener, M.: Classification and regression by randomforest. R News 2(3), 18\u201322 (2002)","journal-title":"R News"},{"key":"24_CR13","doi-asserted-by":"crossref","unstructured":"Ma, Y., Tran, T., Bicer, V.: Typifier: inferring the type semantics of structured data. In: 2013 IEEE 29th International Conference on Data Engineering (ICDE), pp. 206\u2013217. IEEE (2013)","DOI":"10.1109\/ICDE.2013.6544826"},{"key":"24_CR14","unstructured":"Ngomo, A.-C.N.: A time-efficient hybrid approach to link discovery. In: Ontology Matching, p. 1 (2011)"},{"key":"24_CR15","unstructured":"Ngomo, A.-C.N., Lehmann, J., Auer, S., H\u00f6ffner, K.: Raven-active learning of link specifications. In: Proceedings of the Sixth International Workshop on Ontology Matching, pp. 25\u201337. Citeseer (2011)"},{"key":"24_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/978-3-642-30284-8_17","volume-title":"The Semantic Web: Research and Applications","author":"A-C Ngomo","year":"2012","unstructured":"Ngomo, A.-C., Lyko, K.: EAGLE: efficient active learning of link specifications using genetic programming. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 149\u2013163. Springer, Heidelberg (2012)"},{"key":"24_CR17","unstructured":"Ngomo, A.-C.N., Lyko, K.: Unsupervised learning of link specifications: deterministic vs. non-deterministic. In: OM, pp. 25\u201336 (2013)"},{"key":"24_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1007\/978-3-642-30284-8_15","volume-title":"The Semantic Web: Research and Applications","author":"A Nikolov","year":"2012","unstructured":"Nikolov, A., d\u2019Aquin, M., Motta, E.: Unsupervised learning of link discovery configuration. In: Simperl, E., Cimiano, P., Polleres, A., Corcho, O., Presutti, V. (eds.) ESWC 2012. LNCS, vol. 7295, pp. 119\u2013133. Springer, Heidelberg (2012)"},{"key":"24_CR19","doi-asserted-by":"crossref","unstructured":"Nikolov, A., Uren, V., Motta, E., De Roeck, A.: Handling instance coreferencing in the knofuss architecture (2008)","DOI":"10.1145\/1298406.1298446"},{"key":"24_CR20","doi-asserted-by":"crossref","unstructured":"Papadakis, G., Ioannou, E., Palpanas, T., Nejdl, W., et al.: A blocking framework for entity resolution in highly heterogeneous information spaces. IEEE Trans. Knowl. Data Eng. 25, 2665\u20132682 (2013)","DOI":"10.1109\/TKDE.2012.150"},{"issue":"3","key":"24_CR21","doi-asserted-by":"publisher","first-page":"287","DOI":"10.1023\/A:1007618119488","volume":"42","author":"G R\u00e4tsch","year":"2001","unstructured":"R\u00e4tsch, G., Onoda, T., M\u00fcller, K.-R.: Soft margins for adaboost. Mach. Learn. 42(3), 287\u2013320 (2001)","journal-title":"Mach. Learn."},{"key":"24_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"460","DOI":"10.1007\/978-3-642-35176-1_29","volume-title":"The Semantic Web \u2013 ISWC 2012","author":"S Rong","year":"2012","unstructured":"Rong, S., Niu, X., Xiang, E.W., Wang, H., Yang, Q., Yu, Y.: A machine learning approach for instance matching based on similarity metrics. In: Cudr\u00e9-Mauroux, P., Heflin, J., Sirin, E., Tudorache, T., Euzenat, J., Hauswirth, M., Parreira, J.X., Hendler, J., Schreiber, G., Bernstein, A., Blomqvist, E. (eds.) ISWC 2012, Part I. LNCS, vol. 7649, pp. 460\u2013475. Springer, Heidelberg (2012)"},{"issue":"4","key":"24_CR23","doi-asserted-by":"publisher","first-page":"296","DOI":"10.1109\/72.80266","volume":"1","author":"DW Ruck","year":"1990","unstructured":"Ruck, D.W., Rogers, S.K., Kabrisky, M., Oxley, M.E., Suter, B.W.: The multilayer perceptron as an approximation to a bayes optimal discriminant function. IEEE Trans. Neural Netw. 1(4), 296\u2013298 (1990)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"3","key":"24_CR24","doi-asserted-by":"publisher","first-page":"46","DOI":"10.4018\/jswis.2011070103","volume":"7","author":"F Scharffe","year":"2011","unstructured":"Scharffe, F., Ferrara, A., Nikolov, A., et al.: Data linking for the semantic web. Int. J. Semant. Web Inf. Syst. 7(3), 46\u201376 (2011)","journal-title":"Int. J. Semant. Web Inf. Syst."},{"key":"24_CR25","unstructured":"Scharffe, F., Liu, Y., Zhou, C.: Rdf-ai: an architecture for rdf datasets matching, fusion and interlink. In: Proceedings of the IJCAI 2009 Workshop on Identity, Reference, and Knowledge Representation (IR-KR), Pasadena (2009)"},{"key":"24_CR26","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1007\/978-3-319-11964-9_16","volume-title":"The Semantic Web \u2013 ISWC 2014","author":"M Schmachtenberg","year":"2014","unstructured":"Schmachtenberg, M., Bizer, C., Paulheim, H.: Adoption of the linked data best practices in different topical domains. In: Mika, P., Tudorache, T., Bernstein, A., Welty, C., Knoblock, C., Vrande\u010di\u0107, D., Groth, P., Noy, N., Janowicz, K., Goble, C. (eds.) ISWC 2014, Part I. LNCS, vol. 8796, pp. 245\u2013260. Springer, Heidelberg (2014)"},{"key":"24_CR27","doi-asserted-by":"crossref","unstructured":"Soru, T., Ngomo, A.-C.N.: A comparison of supervised learning classifiers for link discovery. In: Proceedings of the 10th International Conference on Semantic Systems, pp. 41\u201344. ACM (2014)","DOI":"10.1145\/2660517.2660532"}],"container-title":["Lecture Notes in Computer Science","The Semantic Web. Latest Advances and New Domains"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-18818-8_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,28]],"date-time":"2025-05-28T01:21:20Z","timestamp":1748395280000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-18818-8_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319188171","9783319188188"],"references-count":27,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-18818-8_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2015]]},"assertion":[{"value":"21 May 2015","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}