{"id":"https://openalex.org/W4411552689","doi":"https://doi.org/10.1109/cscwd64889.2025.11033258","title":"A Composite Schema Matching Method Based on Contrastive Learning in Data Integration","display_name":"A Composite Schema Matching Method Based on Contrastive Learning in Data Integration","publication_year":2025,"publication_date":"2025-05-05","ids":{"openalex":"https://openalex.org/W4411552689","doi":"https://doi.org/10.1109/cscwd64889.2025.11033258"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd64889.2025.11033258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5089703326","display_name":"L. G. Shao","orcid":"https://orcid.org/0009-0007-9950-8443"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liying Shao","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University Engineering Research Center of Ecological Big Data,Ministry of Education Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Inner Mongolia Engineering Laboratory for Big Data Analysis Technology,Hohhot,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University Engineering Research Center of Ecological Big Data,Ministry of Education Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Inner Mongolia Engineering Laboratory for Big Data Analysis Technology,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101913232","display_name":"Xinyu Hao","orcid":"https://orcid.org/0009-0003-8134-1180"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinyu Hao","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University Engineering Research Center of Ecological Big Data,Ministry of Education Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Inner Mongolia Engineering Laboratory for Big Data Analysis Technology,Hohhot,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University Engineering Research Center of Ecological Big Data,Ministry of Education Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Inner Mongolia Engineering Laboratory for Big Data Analysis Technology,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100652826","display_name":"Jiantao Zhou","orcid":"https://orcid.org/0000-0002-7066-9282"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian-tao Zhou","raw_affiliation_strings":["College of Computer Science, Inner Mongolia University Engineering Research Center of Ecological Big Data,Ministry of Education Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Inner Mongolia Engineering Laboratory for Big Data Analysis Technology,Hohhot,China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science, Inner Mongolia University Engineering Research Center of Ecological Big Data,Ministry of Education Inner Mongolia Engineering Laboratory for Cloud Computing and Service Software Inner Mongolia Engineering Laboratory for Big Data Analysis Technology,Hohhot,China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089703326"],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15928729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2109","last_page":"2114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.8781999945640564,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10057","display_name":"Face and Expression Recognition","score":0.8781999945640564,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11550","display_name":"Text and Document Classification Technologies","score":0.8716999888420105,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7646408081054688},{"id":"https://openalex.org/keywords/schema-matching","display_name":"Schema matching","score":0.6373914480209351},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5872291922569275},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5338664650917053},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.5160712599754333},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5063604116439819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4946562945842743},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3403014838695526},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2641443908214569},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10033628344535828},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07126051187515259}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7646408081054688},{"id":"https://openalex.org/C2777327318","wikidata":"https://www.wikidata.org/wiki/Q1408390","display_name":"Schema matching","level":3,"score":0.6373914480209351},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5872291922569275},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5338664650917053},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.5160712599754333},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5063604116439819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4946562945842743},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3403014838695526},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2641443908214569},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10033628344535828},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07126051187515259}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd64889.2025.11033258","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033258","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1679882079","https://openalex.org/W2123878016","https://openalex.org/W2156543375","https://openalex.org/W2157060173","https://openalex.org/W2795302121","https://openalex.org/W2971681342","https://openalex.org/W3174181645","https://openalex.org/W4230439670","https://openalex.org/W4377024335"],"related_works":["https://openalex.org/W1528218860","https://openalex.org/W2406112091","https://openalex.org/W2125859764","https://openalex.org/W2165918986","https://openalex.org/W1128683088","https://openalex.org/W3138074544","https://openalex.org/W2372910313","https://openalex.org/W4310041472","https://openalex.org/W2938811602","https://openalex.org/W2036644834"],"abstract_inverted_index":{"Schema":[0],"matching":[1,26,55,72,105],"is":[2],"a":[3,52,94],"crucial":[4],"step":[5],"in":[6],"data":[7,48,68],"integration":[8],"for":[9,67],"in-depth":[10],"information":[11,37],"mining,":[12],"aimed":[13],"at":[14],"capturing":[15],"seman-tic":[16],"correspondences":[17],"between":[18],"elements":[19],"of":[20,35,102],"multi-source":[21],"datasets.":[22],"The":[23,107],"existing":[24,130],"schema":[25,36,54,104],"methods":[27],"still":[28],"face":[29],"problems":[30],"such":[31],"as":[32],"insufficient":[33],"representations":[34],"diversity,":[38],"poor":[39],"cross-domain":[40],"expression":[41],"ability,":[42],"and":[43,80],"inadequate":[44],"adaptability":[45],"to":[46,86,98,129],"complex":[47],"environments.":[49],"We":[50],"propose":[51],"composite":[53,89],"method":[56,62,113],"based":[57],"on":[58,121],"contrastive":[59],"learning.":[60],"Our":[61],"de-signs":[63],"multi-domain":[64],"word":[65],"lists":[66],"augmentation,":[69],"the":[70,88,100,103,116],"schema-based":[71],"part":[73],"fine-tunes":[74],"pre-trained":[75],"models":[76],"through":[77],"con-trastive":[78],"learning":[79],"finally":[81],"designs":[82,93],"multi-model":[83],"voting":[84],"strategies":[85],"complete":[87],"matches.":[90],"It":[91],"also":[92],"format":[95],"validation":[96],"strategy":[97],"enhance":[99],"performance":[101,119],"model.":[106],"experimental":[108],"results":[109],"show":[110],"that":[111],"our":[112],"has":[114],"improved":[115],"F1":[117],"comprehensive":[118],"indicators":[120],"three":[122],"benchmark":[123,131],"datasets":[124],"by":[125],"an":[126],"average":[127],"compared":[128],"methods.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
