{"id":"https://openalex.org/W2529183257","doi":"https://doi.org/10.1109/edocw.2016.7584357","title":"Data Integration Using Machine Learning","display_name":"Data Integration Using Machine Learning","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2529183257","doi":"https://doi.org/10.1109/edocw.2016.7584357","mag":"2529183257"},"language":"en","primary_location":{"id":"doi:10.1109/edocw.2016.7584357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/edocw.2016.7584357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","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/A5060281440","display_name":"Marcus Birgersson","orcid":null},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Marcus Birgersson","raw_affiliation_strings":["Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden","Icore Solutions, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Icore Solutions, Gothenburg, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013655527","display_name":"Gustav Hansson","orcid":null},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Gustav Hansson","raw_affiliation_strings":["Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden","Icore Solutions, Gothenburg, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Chalmers University of Technology, Gothenburg, Sweden","institution_ids":["https://openalex.org/I66862912"]},{"raw_affiliation_string":"Icore Solutions, Gothenburg, Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037374855","display_name":"Ulrik Franke","orcid":"https://orcid.org/0000-0003-2017-7914"},"institutions":[{"id":"https://openalex.org/I2800780207","display_name":"Swedish Institute","ror":"https://ror.org/022w3f533","country_code":"SE","type":"government","lineage":["https://openalex.org/I2800780207"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Ulrik Franke","raw_affiliation_strings":["SICS - Swedish Institute of Computer Science, Kista, Sweden"],"affiliations":[{"raw_affiliation_string":"SICS - Swedish Institute of Computer Science, Kista, Sweden","institution_ids":["https://openalex.org/I2800780207"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060281440"],"corresponding_institution_ids":["https://openalex.org/I66862912"],"apc_list":null,"apc_paid":null,"fwci":2.1424,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.90763519,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9991999864578247,"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":0.9991999864578247,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9976000189781189,"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"}},{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9970999956130981,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7148100137710571},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4549727439880371},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43193280696868896}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7148100137710571},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4549727439880371},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43193280696868896}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/edocw.2016.7584357","is_oa":false,"landing_page_url":"https://doi.org/10.1109/edocw.2016.7584357","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 20th International Enterprise Distributed Object Computing Workshop (EDOCW)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.chalmers.se:245046","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/245046","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W9931275","https://openalex.org/W123716252","https://openalex.org/W1515796738","https://openalex.org/W1556261887","https://openalex.org/W1577481215","https://openalex.org/W1967129347","https://openalex.org/W1977272643","https://openalex.org/W1998982581","https://openalex.org/W2000405557","https://openalex.org/W2008896880","https://openalex.org/W2010543405","https://openalex.org/W2024116996","https://openalex.org/W2036073399","https://openalex.org/W2039436632","https://openalex.org/W2039540274","https://openalex.org/W2064643556","https://openalex.org/W2139135093","https://openalex.org/W2150365753","https://openalex.org/W2156543375","https://openalex.org/W2165887572","https://openalex.org/W2276008000","https://openalex.org/W2406114359","https://openalex.org/W2529183257","https://openalex.org/W4205864049","https://openalex.org/W6680506379","https://openalex.org/W6683065386"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Today,":[0],"enterprise":[1],"integration":[2,23,28,40,75,100,154],"and":[3,15,69,89,93,130,161,176],"cross-enterprise":[4],"collaboration":[5],"is":[6,31,107],"becoming":[7],"evermore":[8],"important.":[9],"The":[10,102],"Internet":[11],"of":[12,60,76,83,119,128,134,145],"things,":[13],"digitization":[14],"globalization":[16],"are":[17,87],"pushing":[18],"continuous":[19,178],"growth":[20],"in":[21,47,116,131],"the":[22,74,117,132,170,173],"market.":[24],"However,":[25],"setting":[26],"up":[27,51,158],"systems":[29],"today":[30],"still":[32],"largely":[33],"a":[34,57,61,125,142,163],"manual":[35],"endeavor.":[36],"Most":[37],"probably,":[38],"future":[39],"will":[41],"need":[42],"to":[43,49,72,80,109,156],"leverage":[44],"more":[45],"automation":[46],"order":[48,118,133],"keep":[50,157],"with":[52,159],"demand.":[53],"This":[54],"paper":[55],"presents":[56],"first":[58],"version":[59],"system":[62],"that":[63,105],"uses":[64],"tools":[65],"from":[66,97,172,180],"artificial":[67],"intelligence":[68],"machine":[70],"learning":[71,179],"ease":[73],"information":[77],"systems,":[78],"aiming":[79],"automate":[81],"parts":[82],"it.":[84],"Three":[85],"models":[86,122,139,148],"presented":[88],"evaluated":[90],"for":[91,121,136,153],"precision":[92],"recall":[94],"using":[95],"data":[96],"real,":[98],"past,":[99],"projects.":[101],"results":[103,171],"show":[104],"it":[106],"possible":[108],"obtain":[110,162],"F":[111],"<sub":[112],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[113],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">0.5</sub>":[114],"scores":[115],"80%":[120],"trained":[123,140],"on":[124,141],"particular":[126],"kind":[127],"data,":[129],"60%-70%":[135],"less":[137],"specific":[138],"several":[143],"kinds":[144],"data.":[146],"Such":[147],"would":[149],"be":[150],"valuable":[151],"enablers":[152],"brokers":[155],"demand,":[160],"competitive":[164],"advantage.":[165],"Future":[166],"work":[167],"includes":[168],"fusing":[169],"different":[174],"models,":[175],"enabling":[177],"an":[181],"operational":[182],"production":[183],"system.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
