{"id":"https://openalex.org/W2791272878","doi":"https://doi.org/10.1177/0165551518761011","title":"DISC: Disambiguating homonyms using graph structural clustering","display_name":"DISC: Disambiguating homonyms using graph structural clustering","publication_year":2018,"publication_date":"2018-03-05","ids":{"openalex":"https://openalex.org/W2791272878","doi":"https://doi.org/10.1177/0165551518761011","mag":"2791272878"},"language":"en","primary_location":{"id":"doi:10.1177/0165551518761011","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551518761011","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-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/A5024961359","display_name":"Ijaz Hussain","orcid":"https://orcid.org/0000-0003-3254-1680"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Ijaz Hussain","raw_affiliation_strings":["Department of Computer Science, COMSATS Institute of Information Technology, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, COMSATS Institute of Information Technology, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062921553","display_name":"Sohail Asghar","orcid":"https://orcid.org/0000-0001-6883-3584"},"institutions":[{"id":"https://openalex.org/I16076960","display_name":"COMSATS University Islamabad","ror":"https://ror.org/00nqqvk19","country_code":"PK","type":"education","lineage":["https://openalex.org/I16076960"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Sohail Asghar","raw_affiliation_strings":["Department of Computer Science, COMSATS Institute of Information Technology, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, COMSATS Institute of Information Technology, Pakistan","institution_ids":["https://openalex.org/I16076960"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5024961359"],"corresponding_institution_ids":["https://openalex.org/I16076960"],"apc_list":{"value":3650,"currency":"USD","value_usd":3650},"apc_paid":null,"fwci":2.1234,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87507571,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"44","issue":"6","first_page":"830","last_page":"847"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9998999834060669,"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":0.9998999834060669,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.993399977684021,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.983299970626831,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8015351891517639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7361576557159424},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6838557124137878},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5875222682952881},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4906660318374634},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.46549782156944275},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.454056054353714},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.45201972126960754},{"id":"https://openalex.org/keywords/metadata","display_name":"Metadata","score":0.45007258653640747},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40322303771972656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37081974744796753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33938467502593994},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1722259223461151}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8015351891517639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7361576557159424},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6838557124137878},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5875222682952881},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4906660318374634},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.46549782156944275},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.454056054353714},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.45201972126960754},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.45007258653640747},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40322303771972656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37081974744796753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33938467502593994},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1722259223461151},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/0165551518761011","is_oa":false,"landing_page_url":"https://doi.org/10.1177/0165551518761011","pdf_url":null,"source":{"id":"https://openalex.org/S68913162","display_name":"Journal of Information Science","issn_l":"0165-5515","issn":["0165-5515","1741-6485"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Information Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1547987453","https://openalex.org/W1912764128","https://openalex.org/W1964435069","https://openalex.org/W1979532552","https://openalex.org/W1982912387","https://openalex.org/W1996766139","https://openalex.org/W1997871231","https://openalex.org/W2026499502","https://openalex.org/W2028696063","https://openalex.org/W2039599657","https://openalex.org/W2063326034","https://openalex.org/W2065858398","https://openalex.org/W2069216775","https://openalex.org/W2083342911","https://openalex.org/W2090987348","https://openalex.org/W2098162425","https://openalex.org/W2129558264","https://openalex.org/W2131193521","https://openalex.org/W2137811660","https://openalex.org/W2145893390","https://openalex.org/W2148019918","https://openalex.org/W2478084619","https://openalex.org/W2566927129","https://openalex.org/W3103427817","https://openalex.org/W4231254446","https://openalex.org/W4242475056","https://openalex.org/W4300185421"],"related_works":["https://openalex.org/W2392768766","https://openalex.org/W2058118494","https://openalex.org/W2353179089","https://openalex.org/W2095118173","https://openalex.org/W2382021449","https://openalex.org/W2104269053","https://openalex.org/W2106424170","https://openalex.org/W1985426483","https://openalex.org/W2501188010","https://openalex.org/W4299935056"],"abstract_inverted_index":{"Author":[0],"name":[1],"ambiguity":[2],"degrades":[3],"information":[4],"retrieval,":[5],"database":[6],"integration,":[7],"search":[8],"results":[9],"and,":[10],"more":[11,41],"importantly,":[12],"correct":[13],"attributions":[14],"in":[15,43,139,175,254],"bibliographic":[16,79,178,214],"databases.":[17,179],"Some":[18],"unresolved":[19],"issues":[20],"include":[21],"how":[22,30,36],"to":[23,31,37,72,98,131],"ascertain":[24],"the":[25,33,39,77,153,193,247],"actual":[26],"number":[27],"of":[28,45,137,150,224],"authors,":[29],"improve":[32],"performance":[34],"and":[35,65,95,107,120,135,170,204,222,227,232,235,242,256],"make":[38],"method":[40,83],"effective":[42,82],"terms":[44],"representative":[46],"clustering":[47,127],"metrics":[48],"(average":[49],"cluster":[50,61,63],"purity,":[51,54],"average":[52,219],"author":[53,109],"K-metric,":[55,220],"pairwise":[56,58],"precision,":[57,62],"recall,":[59],"pairwise-F1,":[60,221],"recall":[64],"cluster-F1).":[66],"It":[67],"is":[68,85,105,116,129,160],"a":[69,140,163],"non-trivial":[70],"task":[71],"disambiguate":[73,99],"authors":[74,119],"using":[75,118,212,230,238],"only":[76,168],"implicit":[78],"information.":[80],"An":[81],"\u2018DISC\u2019":[84],"proposed":[86],"that":[87,172],"uses":[88],"graph":[89,96,115,125],"community":[90],"detection":[91],"algorithm,":[92],"feature":[93,157],"vectors":[94],"operations":[97],"homonyms.":[100],"The":[101],"citation":[102],"data":[103,202],"set":[104],"pre-processed":[106],"ambiguous":[108],"blocks":[110],"are":[111,144,173,197,245],"formed.":[112],"A":[113,124],"co-authors":[114,169],"constructed":[117],"their":[121,156],"co-author\u2019s":[122,141],"relationships.":[123],"structural":[126],"\u2018gSkeletonClu\u2019":[128],"applied":[130],"identify":[132],"hubs,":[133],"outliers":[134],"clusters":[136,149,244,251],"nodes":[138,151],"graph.":[142],"Homonyms":[143],"resolved":[145],"by":[146],"splitting":[147],"these":[148],"across":[152],"hub":[154],"if":[155],"vector":[158],"similarity":[159],"less":[161],"than":[162],"predefined":[164],"threshold.":[165],"DISC":[166,183,194,216],"utilises":[167],"titles":[171],"available":[174],"almost":[176],"all":[177],"With":[180],"little":[181],"modifications,":[182],"can":[184],"also":[185],"be":[186],"used":[187],"for":[188],"entity":[189],"disambiguation.":[190],"To":[191],"validate":[192],"performance,":[195],"experiments":[196],"performed":[198],"on":[199,218],"two":[200],"Arnetminer":[201],"sets":[203],"compared":[205],"with":[206],"five":[207],"previous":[208],"unsupervised":[209],"methods.":[210],"Despite":[211],"limited":[213],"metadata,":[215],"achieves":[217],"cluster-F1":[223],"92%,":[225],"84%":[226],"74%,":[228],"respectively,":[229,237],"Arnetminer-S":[231,255],"86%,":[233],"80%":[234],"57%,":[236],"Arnetminer-L.":[239],"About":[240],"77.5%":[241],"73.2%":[243],"within":[246],"range":[248],"(ground":[249],"truth":[250],"\u00b1":[252],"3)":[253],"Arnetminer-L,":[257],"respectively.":[258]},"counts_by_year":[{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
