{"id":"https://openalex.org/W2995720838","doi":"https://doi.org/10.1109/tencon.2019.8929702","title":"A Many Objective Optimization Based Entity Matching Framework for Bibliographic Database","display_name":"A Many Objective Optimization Based Entity Matching Framework for Bibliographic Database","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2995720838","doi":"https://doi.org/10.1109/tencon.2019.8929702","mag":"2995720838"},"language":"en","primary_location":{"id":"doi:10.1109/tencon.2019.8929702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","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/A5021971352","display_name":"Sumit Mishra","orcid":"https://orcid.org/0000-0001-9333-2001"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]},{"id":"https://openalex.org/I4210089896","display_name":"Indian Institute of Information Technology Guwahati","ror":"https://ror.org/00bb9ch64","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210089896"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sumit Mishra","raw_affiliation_strings":["Department of CSE, IIIT Guwahati, Guwahati, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, IIIT Guwahati, Guwahati, India","institution_ids":["https://openalex.org/I4210089896","https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060797340","display_name":"Sriparna Saha","orcid":"https://orcid.org/0000-0001-5458-9381"},"institutions":[{"id":"https://openalex.org/I132153292","display_name":"Indian Institute of Technology Patna","ror":"https://ror.org/01ft5vz71","country_code":"IN","type":"education","lineage":["https://openalex.org/I132153292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sriparna Saha","raw_affiliation_strings":["Department of CSE, IIT Patna, Patna, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, IIT Patna, Patna, India","institution_ids":["https://openalex.org/I132153292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088675403","display_name":"Samrat Mondal","orcid":"https://orcid.org/0000-0002-2159-3410"},"institutions":[{"id":"https://openalex.org/I132153292","display_name":"Indian Institute of Technology Patna","ror":"https://ror.org/01ft5vz71","country_code":"IN","type":"education","lineage":["https://openalex.org/I132153292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samrat Mondal","raw_affiliation_strings":["Department of CSE, IIT Patna, Patna, India"],"affiliations":[{"raw_affiliation_string":"Department of CSE, IIT Patna, Patna, India","institution_ids":["https://openalex.org/I132153292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021971352"],"corresponding_institution_ids":["https://openalex.org/I1317621060","https://openalex.org/I4210089896"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16467782,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2054","last_page":"2058"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9966999888420105,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9966999888420105,"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":0.9822999835014343,"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/T11106","display_name":"Data Management and Algorithms","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/sorting","display_name":"Sorting","score":0.7647557258605957},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7361363172531128},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7013913989067078},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6042858362197876},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5973613262176514},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5583057999610901},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4787430167198181},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4468268156051636},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.194176584482193},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19240951538085938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16143977642059326},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07522258162498474}],"concepts":[{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.7647557258605957},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7361363172531128},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7013913989067078},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6042858362197876},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5973613262176514},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5583057999610901},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4787430167198181},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4468268156051636},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.194176584482193},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19240951538085938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16143977642059326},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07522258162498474},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon.2019.8929702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon.2019.8929702","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2019 - 2019 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2022485595","https://openalex.org/W2136517229","https://openalex.org/W2500925358","https://openalex.org/W2559636315","https://openalex.org/W2594541096","https://openalex.org/W2594735838","https://openalex.org/W2602953083","https://openalex.org/W2610904283","https://openalex.org/W2773837076","https://openalex.org/W6736139338"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2739612537","https://openalex.org/W2387011115","https://openalex.org/W2349174696","https://openalex.org/W2360241746","https://openalex.org/W3006936859","https://openalex.org/W1987040457","https://openalex.org/W2378502887","https://openalex.org/W2184492720","https://openalex.org/W1994686097"],"abstract_inverted_index":{"Entity":[0],"matching":[1,18],"aims":[2],"at":[3],"mapping":[4],"records":[5,10,25,40,47,101],"to":[6,60,96,152],"different":[7,42,49,162],"entities":[8],"where":[9],"share":[11],"the":[12,33,84,98,112,119,134,154,168,180],"common":[13],"entity":[14,17],"name.":[15],"The":[16,64],"problem":[19,66],"is":[20,67],"challenging":[21],"because":[22],"several":[23],"times":[24],"do":[26],"not":[27],"contain":[28],"complete":[29],"information":[30],"(many":[31],"of":[32,39,48,87,105,122,136,160,179],"attributes":[34],"are":[35,115,138,165],"missing),":[36],"unequal":[37],"distribution":[38],"for":[41,76,170],"entities,":[43],"big":[44],"overlaps":[45],"between":[46,100],"entities.":[50],"In":[51],"this":[52,62,78],"paper,":[53],"we":[54],"have":[55],"proposed":[56,181],"an":[57],"unsupervised":[58],"framework":[59],"solve":[61,153],"problem.":[63,72,156],"aforementioned":[65],"posed":[68],"as":[69],"a":[70,103,123],"partitioning":[71,79,82,137,155,171],"Three":[73],"unknown":[74],"artifacts":[75],"solving":[77],"problem:":[80],"optimal":[81,85],"including":[83],"number":[86],"partitions,":[88],"suitable":[89],"distance":[90,99,113],"measure":[91,97],"which":[92,107,130],"can":[93,108],"be":[94],"utilized":[95],"and":[102,185],"set":[104],"attributes/features":[106],"take":[109],"part":[110],"in":[111,132,167],"calculation,":[114],"determined":[116],"automatically":[117],"using":[118,183],"search":[120],"capability":[121],"multiobjective":[124,144],"optimization":[125,145],"technique.":[126],"Several":[127],"objective":[128,163],"functions":[129,164],"help":[131],"measuring":[133],"goodness":[135],"optimized":[139],"simultaneously":[140],"by":[141],"some":[142],"popular":[143],"techniques,":[146],"NSGA-II/NSGA-III":[147],"(Non-dominated":[148],"Sorting":[149],"Genetic":[150],"Algorithm-II/III)":[151],"Total":[157],"247":[158],"combinations":[159],"eight":[161],"used":[166],"experiments":[169],"fourteen":[172],"bibliographic":[173],"datasets.":[174],"A":[175],"detailed":[176],"comparative":[177],"study":[178],"approach":[182],"NSGA-II":[184],"NSGA-III.":[186]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}