{"id":"https://openalex.org/W4402352011","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650292","title":"SARA: Semantic-assisted Reinforced Active Learning for Entity Alignment","display_name":"SARA: Semantic-assisted Reinforced Active Learning for Entity Alignment","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352011","doi":"https://doi.org/10.1109/ijcnn60899.2024.10650292"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10650292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5021649741","display_name":"Ching\u2010Hsuan Liu","orcid":"https://orcid.org/0000-0002-5074-1785"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I84653119","display_name":"Academia Sinica","ror":"https://ror.org/05bxb3784","country_code":"TW","type":"facility","lineage":["https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Hsuan Liu","raw_affiliation_strings":["National Taiwan University, Academia Sinica,Data Science Degree Program,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University, Academia Sinica,Data Science Degree Program,Taiwan","institution_ids":["https://openalex.org/I16733864","https://openalex.org/I84653119"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111319819","display_name":"Chih-Ming Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Ming Chen","raw_affiliation_strings":["Academia Sinica,Research Center for Information Technology Innovation"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academia Sinica,Research Center for Information Technology Innovation","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031527157","display_name":"Jing-Kai Lou","orcid":"https://orcid.org/0000-0002-0004-739X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing-Kai Lou","raw_affiliation_strings":["KKCompany,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KKCompany,Taiwan","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076203419","display_name":"Ming-Feng Tsai","orcid":"https://orcid.org/0000-0002-3358-8176"},"institutions":[{"id":"https://openalex.org/I87354575","display_name":"National Chengchi University","ror":"https://ror.org/03rqk8h36","country_code":"TW","type":"education","lineage":["https://openalex.org/I87354575"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Feng Tsai","raw_affiliation_strings":["National Chengchi University,Department of Computer Science,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chengchi University,Department of Computer Science,Taiwan","institution_ids":["https://openalex.org/I87354575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100883521","display_name":"Jiun-Lang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jiun-Lang Huang","raw_affiliation_strings":["National Taiwan University,Department of Electrical Engineering,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University,Department of Electrical Engineering,Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017348970","display_name":"Chuan\u2010Ju Wang","orcid":"https://orcid.org/0000-0002-5281-2962"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chuan-Ju Wang","raw_affiliation_strings":["Academia Sinica,Research Center for Information Technology Innovation,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Academia Sinica,Research Center for Information Technology Innovation,Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3556,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5432801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"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/T10028","display_name":"Topic Modeling","score":0.9983000159263611,"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/T10028","display_name":"Topic Modeling","score":0.9983000159263611,"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":0.9923999905586243,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9861000180244446,"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":0.7644318342208862},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.49139419198036194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4475213587284088},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3220953941345215}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7644318342208862},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.49139419198036194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4475213587284088},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3220953941345215}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10650292","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn60899.2024.10650292","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5,"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":56,"referenced_works":["https://openalex.org/W1875112053","https://openalex.org/W2080133951","https://openalex.org/W2250539671","https://openalex.org/W2251079237","https://openalex.org/W2493916176","https://openalex.org/W2509893387","https://openalex.org/W2551361256","https://openalex.org/W2741750617","https://openalex.org/W2767692092","https://openalex.org/W2808284704","https://openalex.org/W2890187992","https://openalex.org/W2892181857","https://openalex.org/W2903963001","https://openalex.org/W2913224127","https://openalex.org/W2914393402","https://openalex.org/W2949700412","https://openalex.org/W2955238243","https://openalex.org/W2962916648","https://openalex.org/W2964263523","https://openalex.org/W2964855489","https://openalex.org/W2966055354","https://openalex.org/W2966126249","https://openalex.org/W2970641574","https://openalex.org/W2970921796","https://openalex.org/W2971001654","https://openalex.org/W2980525481","https://openalex.org/W2997062749","https://openalex.org/W3001896264","https://openalex.org/W3003456796","https://openalex.org/W3030216914","https://openalex.org/W3034521981","https://openalex.org/W3034616364","https://openalex.org/W3035191547","https://openalex.org/W3075591326","https://openalex.org/W3080506591","https://openalex.org/W3089874281","https://openalex.org/W3098038527","https://openalex.org/W3098583774","https://openalex.org/W3098984027","https://openalex.org/W3101056714","https://openalex.org/W3102952580","https://openalex.org/W3146701396","https://openalex.org/W3156859417","https://openalex.org/W3210247849","https://openalex.org/W4226047653","https://openalex.org/W4288089799","https://openalex.org/W4289533781","https://openalex.org/W6622957738","https://openalex.org/W6726873649","https://openalex.org/W6755207826","https://openalex.org/W6762867004","https://openalex.org/W6769627184","https://openalex.org/W6771376659","https://openalex.org/W6778883912","https://openalex.org/W6779469252","https://openalex.org/W6841058540"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3204019825"],"abstract_inverted_index":{"This":[0],"paper":[1,113],"introduces":[2],"SARA,":[3],"a":[4,57,84,95],"semantic-assisted":[5,86],"reinforced":[6,49],"active":[7,50],"learning":[8,51],"framework":[9],"for":[10],"enhancing":[11],"entity":[12,41,71],"alignment":[13,87],"(EA)":[14],"under":[15],"limited":[16,33,44,108],"supervision":[17],"scenarios.":[18,111],"SARA":[19,37,102],"addresses":[20],"the":[21,99,129],"challenges":[22],"of":[23,101,131],"EA":[24],"in":[25,107],"real-world":[26,96],"scenarios,":[27],"including":[28],"knowledge":[29],"graph":[30],"heterogeneity":[31],"and":[32,52,81,94,123],"training":[34],"ground":[35],"truth.":[36],"effectively":[38],"selects":[39],"valuable":[40],"pairs":[42],"with":[43,78],"labeled":[45,109],"data":[46,110],"by":[47],"combining":[48],"semantic":[53],"information.":[54],"It":[55],"utilizes":[56],"pair-wise":[58],"language":[59],"model":[60],"based":[61],"on":[62,91],"Sentence-BERT":[63],"to":[64,127],"learn":[65],"informative":[66],"name":[67,72],"embeddings":[68,75,80],"that":[69],"capture":[70],"semantics.":[73],"These":[74],"are":[76],"combined":[77],"structural":[79],"trained":[82],"using":[83],"novel":[85],"loss.":[88],"Extensive":[89],"experiments":[90],"benchmark":[92],"datasets":[93],"dataset":[97],"demonstrate":[98],"superiority":[100],"over":[103],"existing":[104],"approaches,":[105],"particularly":[106],"The":[112],"also":[114],"provides":[115],"insights":[116],"into":[117],"fine-tuning":[118],"strategies,":[119],"presents":[120],"ablation":[121],"studies,":[122],"conducts":[124],"sensitivity":[125],"analyses":[126],"validate":[128],"effectiveness":[130],"SARA.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
