{"id":"https://openalex.org/W2587026543","doi":"https://doi.org/10.1109/smc.2016.7844305","title":"A hybrid knowledge-based framework for author name disambiguation","display_name":"A hybrid knowledge-based framework for author name disambiguation","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2587026543","doi":"https://doi.org/10.1109/smc.2016.7844305","mag":"2587026543"},"language":"en","primary_location":{"id":"doi:10.1109/smc.2016.7844305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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/A5020570496","display_name":"Jaros\u0142aw Protasiewicz","orcid":"https://orcid.org/0000-0002-9204-921X"},"institutions":[{"id":"https://openalex.org/I4210139285","display_name":"National Information Processing Institute","ror":"https://ror.org/040fc1e14","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210139285"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Jaroslaw Protasiewicz","raw_affiliation_strings":["National Information Processing Institute, Laboratory of Intelligent Information System, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Information Processing Institute, Laboratory of Intelligent Information System, Warsaw, Poland","institution_ids":["https://openalex.org/I4210139285"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037566627","display_name":"S\u0142awomir Dadas","orcid":"https://orcid.org/0000-0002-9177-6685"},"institutions":[{"id":"https://openalex.org/I4210139285","display_name":"National Information Processing Institute","ror":"https://ror.org/040fc1e14","country_code":"PL","type":"facility","lineage":["https://openalex.org/I4210139285"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Slawomir Dadas","raw_affiliation_strings":["National Information Processing Institute, Laboratory of Intelligent Information System, Warsaw, Poland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Information Processing Institute, Laboratory of Intelligent Information System, Warsaw, Poland","institution_ids":["https://openalex.org/I4210139285"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3731,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.73739097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"000594","last_page":"000600"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9854999780654907,"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"}},{"id":"https://openalex.org/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7949156761169434},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7355706095695496},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.6613801717758179},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5797438621520996},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5696064829826355},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.5409700274467468},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5108029842376709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49377521872520447},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4205484688282013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7949156761169434},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7355706095695496},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.6613801717758179},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5797438621520996},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5696064829826355},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.5409700274467468},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5108029842376709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49377521872520447},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4205484688282013},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc.2016.7844305","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc.2016.7844305","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","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":30,"referenced_works":["https://openalex.org/W1547987453","https://openalex.org/W1554944419","https://openalex.org/W1607091478","https://openalex.org/W1618077973","https://openalex.org/W1839142907","https://openalex.org/W1907949118","https://openalex.org/W1930549559","https://openalex.org/W1964435069","https://openalex.org/W1987971958","https://openalex.org/W1991489099","https://openalex.org/W1996766139","https://openalex.org/W2004915807","https://openalex.org/W2024594469","https://openalex.org/W2026499502","https://openalex.org/W2056826404","https://openalex.org/W2069216775","https://openalex.org/W2072669000","https://openalex.org/W2084562107","https://openalex.org/W2101234009","https://openalex.org/W2129558264","https://openalex.org/W2131193521","https://openalex.org/W2137811660","https://openalex.org/W2148019918","https://openalex.org/W2168020168","https://openalex.org/W3101036898","https://openalex.org/W3103427817","https://openalex.org/W3215186461","https://openalex.org/W6638639037","https://openalex.org/W6640268960","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W1690653314","https://openalex.org/W2401723157","https://openalex.org/W2784269775","https://openalex.org/W2952904874","https://openalex.org/W3200375535"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3],"propose":[4],"a":[5,53],"hybrid":[6],"knowledge-based":[7],"framework":[8,43,103,157],"for":[9,34,161],"author":[10],"name":[11],"disambiguation.":[12],"The":[13,28,49,57,79,102,123],"developed":[14],"approach":[15,125],"helps":[16],"incrementally":[17],"identify":[18,148],"authors":[19,165],"of":[20,30,38,46,164],"documents":[21],"in":[22,166],"data":[23,84,98],"acquired":[24],"from":[25,86],"various":[26,108],"sources.":[27],"nature":[29],"the":[31,42,87,91,133,144,156],"problem":[32],"calls":[33],"an":[35,61],"orchestrated":[36],"use":[37],"several":[39],"methods;":[40],"thus,":[41],"is":[44,129],"composed":[45],"two":[47],"levels.":[48],"first":[50,88],"level":[51],"contains":[52],"rule-based":[54,112,124],"disambiguation":[55],"algorithm.":[56],"second":[58],"tier":[59],"covers":[60],"agglomerative":[62],"hierarchical":[63,114],"clustering":[64,115,134,145],"procedure":[65],"that":[66,155],"incorporates":[67],"heuristics":[68],"rules":[69,92],"as":[70,72],"well":[71],"classifiers":[73,80],"to":[74],"estimate":[75],"similarity":[76,118],"between":[77],"clusters.":[78],"are":[81,93],"trained":[82],"on":[83,95],"coming":[85],"level;":[89],"whereas,":[90,143],"based":[94],"experts'":[96],"knowledge,":[97],"analysis,":[99],"and":[100,113,120,128],"literature.":[101],"has":[104],"been":[105],"verified":[106],"through":[107],"experiments":[109],"concerning":[110],"both":[111],"algorithms,":[116],"different":[117],"measures,":[119],"stop":[121],"criteria.":[122],"runs":[126],"faster":[127],"more":[130],"precise":[131],"than":[132],"procedure.":[135],"However,":[136],"it":[137],"can":[138,147],"assign":[139],"only":[140],"known":[141],"individuals;":[142],"algorithm":[146],"even":[149],"unknown":[150],"yet":[151],"authors.":[152],"We":[153],"demonstrate":[154],"might":[158],"be":[159],"useful":[160],"incremental":[162],"identification":[163],"self-growing":[167],"databases.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}