{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T06:54:53Z","timestamp":1790837693607,"version":"4.1.0"},"reference-count":24,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2018,6,30]],"date-time":"2018-06-30T00:00:00Z","timestamp":1530316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["J. Data and Information Quality"],"published-print":{"date-parts":[[2018,6,30]]},"abstract":"<jats:p>Given a query record, record matching is the problem of finding database records that represent the same real-world object. In the easiest scenario, a database record is completely identical to the query. However, in most cases, problems do arise, for instance, as a result of data errors or data integrated from multiple sources or received from restrictive form fields. These problems are usually difficult, because they require a variety of actions, including field segmentation, decoding of values, and similarity comparisons, each requiring some domain knowledge.<\/jats:p>\n          <jats:p>In this article, we study the problem of matching records that contain address information, including attributes such as Street-address and City. To facilitate this matching process, we propose a domain-specific procedure to, first, enrich each record with a more complete representation of the address information through geocoding and reverse-geocoding and, second, to select the best similarity measure per each address attribute that will finally help the classifier to achieve the best f-measure. We report on our experience in selecting geocoding services and discovering similarity measures for a concrete but common industry use-case.<\/jats:p>","DOI":"10.1145\/3232852","type":"journal-article","created":{"date-parts":[[2018,9,7]],"date-time":"2018-09-07T12:51:06Z","timestamp":1536324666000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Experience"],"prefix":"10.1145","volume":"10","author":[{"given":"Ioannis","family":"Koumarelas","sequence":"first","affiliation":[{"name":"Hasso Plattner Institute, University of Potsdam, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Axel","family":"Kroschk","sequence":"additional","affiliation":[{"name":"Hasso Plattner Institute, University of Potsdam, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Clifford","family":"Mosley","sequence":"additional","affiliation":[{"name":"Concur, Bellevue, Washington, United States"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Felix","family":"Naumann","sequence":"additional","affiliation":[{"name":"Hasso Plattner Institute, University of Potsdam, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2018,9,7]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of the 6th Australasian Conference on Data Mining and Analytics","volume":"70","author":"Christen Peter","year":"2007"},{"key":"e_1_2_1_2_1","volume-title":"Entity Resolution, and Duplicate Detection","author":"Christen Peter"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1645953.1646173"},{"key":"e_1_2_1_4_1","volume-title":"Data mining","author":"Christen Peter"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/363958.363994"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/1191547.1191739"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1080\/00029890.1962.11989827"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/364099.364331"},{"key":"e_1_2_1_10_1","volume-title":"EGU General Assembly Conference Abstracts","volume":"17","author":"Guha-Sapir Debarati","year":"2015"},{"key":"e_1_2_1_11_1","doi-asserted-by":"crossref","volume-title":"Algorithms on Strings, Trees, and Sequences: Computer Science and Computational Biology","author":"Gusfield Dan","DOI":"10.1017\/CBO9780511574931"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1950.tb00463.x"},{"key":"e_1_2_1_13_1","volume-title":"Winkler","author":"Herzog Thomas N.","year":"2007"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1561\/1900000045"},{"key":"e_1_2_1_15_1","first-page":"241","article-title":"Distribution de la flore alpine dans le bassin des Dranses et dans quelques r\u00e9gions voisines","volume":"37","author":"Jaccard Paul","year":"1901","journal-title":"Bull. 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