{"id":"https://openalex.org/W3097372557","doi":"https://doi.org/10.1109/icde48307.2020.9238348","title":"Efficient Entity Resolution on Heterogeneous Records(Extended abstract)","display_name":"Efficient Entity Resolution on Heterogeneous Records(Extended abstract)","publication_year":2020,"publication_date":"2020-04-01","ids":{"openalex":"https://openalex.org/W3097372557","doi":"https://doi.org/10.1109/icde48307.2020.9238348","mag":"3097372557"},"language":"en","primary_location":{"id":"doi:10.1109/icde48307.2020.9238348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde48307.2020.9238348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 36th International Conference on Data Engineering (ICDE)","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/A5091648568","display_name":"Yiming Lin","orcid":"https://orcid.org/0000-0001-6792-2155"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yiming Lin","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100396652","display_name":"Hongzhi Wang","orcid":"https://orcid.org/0000-0002-7521-2871"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzhi Wang","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100387065","display_name":"Jianzhong Li","orcid":"https://orcid.org/0000-0002-4119-0571"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianzhong Li","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070851627","display_name":"Hong Gao","orcid":"https://orcid.org/0000-0002-2000-6683"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Gao","raw_affiliation_strings":["Harbin Institute of Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5091648568"],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":0.1795,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.579482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"2074","last_page":"2075"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":1.0,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9779000282287598,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9451000094413757,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.8022902011871338},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.6950452327728271},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.648313045501709},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5095189213752747},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4763907790184021},{"id":"https://openalex.org/keywords/schema-matching","display_name":"Schema matching","score":0.46053364872932434},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4221409857273102},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.2754071354866028},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1596725583076477},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08606329560279846}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8022902011871338},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.6950452327728271},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.648313045501709},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5095189213752747},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4763907790184021},{"id":"https://openalex.org/C2777327318","wikidata":"https://www.wikidata.org/wiki/Q1408390","display_name":"Schema matching","level":3,"score":0.46053364872932434},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4221409857273102},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.2754071354866028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1596725583076477},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08606329560279846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde48307.2020.9238348","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde48307.2020.9238348","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 36th International Conference on Data Engineering (ICDE)","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":4,"referenced_works":["https://openalex.org/W2091858563","https://openalex.org/W2123561513","https://openalex.org/W2148019918","https://openalex.org/W2163616098"],"related_works":["https://openalex.org/W2471940468","https://openalex.org/W4226075635","https://openalex.org/W3130973930","https://openalex.org/W2047599596","https://openalex.org/W2372910313","https://openalex.org/W1528218860","https://openalex.org/W2406112091","https://openalex.org/W2125859764","https://openalex.org/W2029826694","https://openalex.org/W2159303222"],"abstract_inverted_index":{"Entity":[0],"resolution":[1],"(ER)":[2],"is":[3],"the":[4,14,134,154],"problem":[5],"of":[6,93,102,158],"identifying":[7],"and":[8,40,98,145,156],"merging":[9],"records":[10,22,31,48,97,115,130],"that":[11,37,61,100],"refer":[12,132],"to":[13,46,52,77,112,127,133,142],"same":[15,135],"real-world":[16,151],"entity.":[17],"In":[18],"many":[19],"scenarios,":[20],"raw":[21],"are":[23],"stored":[24],"under":[25,49,54,116],"heterogeneous":[26,84,96,117],"environment.":[27],"To":[28,79],"leverage":[29,80],"such":[30],"better,":[32],"most":[33],"existing":[34,103],"work":[35],"assume":[36],"schema":[38,62],"matching":[39,63],"data":[41],"exchange":[42],"have":[43],"been":[44],"done":[45],"convert":[47],"different":[50],"schemas":[51],"those":[53],"a":[55,124],"predefined":[56],"schema.":[57],"However,":[58],"we":[59,89,122],"observe":[60],"would":[64],"lose":[65],"information":[66,82],"in":[67,86],"some":[68],"cases,":[69],"which":[70,131],"could":[71,109],"be":[72,110],"useful":[73],"or":[74,106],"even":[75],"crucial":[76],"ER.":[78],"sufficient":[81],"from":[83],"sources,":[85],"this":[87],"paper,":[88],"address":[90],"several":[91],"challenges":[92],"ER":[94],"on":[95,150],"show":[99,153],"none":[101],"similarity":[104,147],"metrics":[105],"their":[107],"transformations":[108],"applied":[111],"find":[113,129],"similar":[114],"settings.":[118],"Motivated":[119],"by":[120],"this,":[121],"propose":[123],"novel":[125],"framework":[126],"iteratively":[128],"entity":[136],"as":[137,139],"well":[138],"an":[140],"index":[141],"generate":[143],"candidates":[144],"accelerate":[146],"computation.":[148],"Evaluations":[149],"datasets":[152],"effectiveness":[155],"efficiency":[157],"our":[159],"methods.":[160]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
