{"id":"https://openalex.org/W2144607742","doi":"https://doi.org/10.1145/1321440.1321458","title":"Quickmig","display_name":"Quickmig","publication_year":2007,"publication_date":"2007-11-06","ids":{"openalex":"https://openalex.org/W2144607742","doi":"https://doi.org/10.1145/1321440.1321458","mag":"2144607742"},"language":"en","primary_location":{"id":"doi:10.1145/1321440.1321458","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1321440.1321458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixteenth ACM conference on Conference on information and knowledge management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042384995","display_name":"Christian Drumm","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Christian Drumm","raw_affiliation_strings":["SAP Research, Karlsruhe, Germany"],"affiliations":[{"raw_affiliation_string":"SAP Research, Karlsruhe, Germany","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033114436","display_name":"Matthias Schmitt","orcid":"https://orcid.org/0000-0002-2632-5052"},"institutions":[{"id":"https://openalex.org/I95884543","display_name":"Leoni (Germany)","ror":"https://ror.org/01ms42351","country_code":"DE","type":"company","lineage":["https://openalex.org/I95884543"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Schmitt","raw_affiliation_strings":["SAP AG, St.Leon-Rot, Germany"],"affiliations":[{"raw_affiliation_string":"SAP AG, St.Leon-Rot, Germany","institution_ids":["https://openalex.org/I95884543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004416259","display_name":"Hong-Hai Do","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135152","display_name":"Roland Ernst Stiftung","ror":"https://ror.org/03m629g08","country_code":"DE","type":"nonprofit","lineage":["https://openalex.org/I4210135152"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Hong-Hai Do","raw_affiliation_strings":["SAP Research, Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"SAP Research, Dresden, Germany","institution_ids":["https://openalex.org/I4210135152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075756237","display_name":"Erhard Rahm","orcid":"https://orcid.org/0000-0002-2665-1114"},"institutions":[{"id":"https://openalex.org/I926574661","display_name":"Leipzig University","ror":"https://ror.org/03s7gtk40","country_code":"DE","type":"education","lineage":["https://openalex.org/I926574661"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Erhard Rahm","raw_affiliation_strings":["Universit\u00e4t Leipzig, Leipzig, Germany"],"affiliations":[{"raw_affiliation_string":"Universit\u00e4t Leipzig, Leipzig, Germany","institution_ids":["https://openalex.org/I926574661"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5042384995"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":10.7926,"has_fulltext":false,"cited_by_count":74,"citation_normalized_percentile":{"value":0.9825853,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8588954210281372},{"id":"https://openalex.org/keywords/schema-matching","display_name":"Schema matching","score":0.5687547922134399},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4983642101287842},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4864656627178192},{"id":"https://openalex.org/keywords/reuse","display_name":"Reuse","score":0.4581209421157837},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.45406150817871094},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.3613463044166565}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8588954210281372},{"id":"https://openalex.org/C2777327318","wikidata":"https://www.wikidata.org/wiki/Q1408390","display_name":"Schema matching","level":3,"score":0.5687547922134399},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4983642101287842},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4864656627178192},{"id":"https://openalex.org/C206588197","wikidata":"https://www.wikidata.org/wiki/Q846574","display_name":"Reuse","level":2,"score":0.4581209421157837},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.45406150817871094},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.3613463044166565},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1321440.1321458","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1321440.1321458","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the sixteenth ACM conference on Conference on information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W256551661","https://openalex.org/W1496591573","https://openalex.org/W1536941882","https://openalex.org/W1818506960","https://openalex.org/W2008896880","https://openalex.org/W2076291573","https://openalex.org/W2106039833","https://openalex.org/W2110686900","https://openalex.org/W2122604280","https://openalex.org/W2138745488","https://openalex.org/W2139135093","https://openalex.org/W2142104809","https://openalex.org/W2148572968","https://openalex.org/W2150365753","https://openalex.org/W2150846704","https://openalex.org/W2156543375","https://openalex.org/W2157060173","https://openalex.org/W2167866332","https://openalex.org/W2168996210","https://openalex.org/W3147477526","https://openalex.org/W6629830009","https://openalex.org/W6996357868"],"related_works":["https://openalex.org/W1528218860","https://openalex.org/W2406112091","https://openalex.org/W2125859764","https://openalex.org/W1128683088","https://openalex.org/W2372910313","https://openalex.org/W3138074544","https://openalex.org/W4310041472","https://openalex.org/W2938811602","https://openalex.org/W2036644834","https://openalex.org/W2408969024"],"abstract_inverted_index":{"A":[0],"common":[1],"task":[2],"in":[3],"many":[4],"database":[5],"applications":[6],"is":[7,55,65],"the":[8,27,33,45,49,99,102,144,159,165],"migration":[9,54,95],"of":[10,26,35,41,73,101,107,117,141,164],"legacy":[11],"data":[12,53,74,94,157],"from":[13,44,149],"multiple":[14],"sources":[15],"into":[16,143],"a":[17,59,70,82,105,150],"new":[18,83,108,134],"one.":[19],"This":[20],"requires":[21],"identifying":[22],"semantically":[23],"related":[24],"elements":[25,43,92],"source":[28,46],"and":[29,32,61,115,156,162],"target":[30,50],"systems":[31],"creation":[34],"mapping":[36,129],"expressions":[37],"to":[38,48,67,69,86,120,136],"transform":[39],"instances":[40],"those":[42],"format":[47],"format.":[51],"Currently,":[52],"typically":[56],"done":[57],"manually,":[58],"tedious":[60],"timeconsuming":[62],"process,":[63],"which":[64],"difficult":[66],"scale":[68],"high":[71,160],"number":[72],"sources.":[75],"In":[76],"this":[77],"paper,":[78],"we":[79],"describe":[80],"QuickMig,":[81],"semi-automatic":[84],"approach":[85],"determining":[87],"semantic":[88],"correspondences":[89,125],"between":[90],"schema":[91],"for":[93],"applications.":[96],"QuickMig":[97,131],"advances":[98],"state":[100],"art":[103],"with":[104],"set":[106],"techniques":[109],"exploiting":[110],"sample":[111],"instances,":[112],"domain":[113,139],"ontologies,":[114],"reuse":[116],"existing":[118],"mappings":[119],"detect":[121],"not":[122],"only":[123],"element":[124],"but":[126],"also":[127],"their":[128],"expressions.":[130],"further":[132],"includes":[133],"mechanisms":[135],"effectively":[137],"incorporate":[138],"knowledge":[140],"users":[142],"matching":[145],"process.":[146],"The":[147],"results":[148],"comprehensive":[151],"evaluation":[152],"using":[153],"real-world":[154],"schemas":[155],"indicate":[158],"quality":[161],"practicability":[163],"overall":[166],"approach.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
