{"id":"https://openalex.org/W2157896838","doi":"https://doi.org/10.1145/1963405.1963421","title":"A self-training approach for resolving object coreference on the semantic web","display_name":"A self-training approach for resolving object coreference on the semantic web","publication_year":2011,"publication_date":"2011-03-28","ids":{"openalex":"https://openalex.org/W2157896838","doi":"https://doi.org/10.1145/1963405.1963421","mag":"2157896838"},"language":"en","primary_location":{"id":"doi:10.1145/1963405.1963421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1963405.1963421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th international conference on World wide web","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/A5100727084","display_name":"Wei Hu","orcid":"https://orcid.org/0000-0003-3635-6335"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Hu","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100330952","display_name":"Jianfeng Chen","orcid":"https://orcid.org/0000-0003-3546-1125"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianfeng Chen","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089586983","display_name":"Yuzhong Qu","orcid":"https://orcid.org/0000-0003-2777-8149"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuzhong Qu","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100727084"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":20.3144,"has_fulltext":false,"cited_by_count":117,"citation_normalized_percentile":{"value":0.99575786,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11719","display_name":"Data Quality and Management","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9975000023841858,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8406946063041687},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5626721978187561},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5535092949867249},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5241406559944153},{"id":"https://openalex.org/keywords/coreference","display_name":"Coreference","score":0.4921206831932068},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4507113993167877},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.44727498292922974},{"id":"https://openalex.org/keywords/semantic-reasoner","display_name":"Semantic reasoner","score":0.43140944838523865},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.41949746012687683},{"id":"https://openalex.org/keywords/resolution","display_name":"Resolution (logic)","score":0.33904480934143066},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08973619341850281}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8406946063041687},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5626721978187561},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5535092949867249},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5241406559944153},{"id":"https://openalex.org/C28076734","wikidata":"https://www.wikidata.org/wiki/Q63087","display_name":"Coreference","level":3,"score":0.4921206831932068},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4507113993167877},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.44727498292922974},{"id":"https://openalex.org/C9616225","wikidata":"https://www.wikidata.org/wiki/Q3929429","display_name":"Semantic reasoner","level":2,"score":0.43140944838523865},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.41949746012687683},{"id":"https://openalex.org/C138268822","wikidata":"https://www.wikidata.org/wiki/Q1051925","display_name":"Resolution (logic)","level":2,"score":0.33904480934143066},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08973619341850281}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1963405.1963421","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1963405.1963421","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th international conference on World wide web","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.205.8955","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.8955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.www2011india.com/proceeding/proceedings/p87.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336024","display_name":"Specialized Research Fund for the Doctoral Program of Higher Education of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W118945946","https://openalex.org/W142015572","https://openalex.org/W1491357092","https://openalex.org/W1493691328","https://openalex.org/W1526669747","https://openalex.org/W1548616358","https://openalex.org/W1555453389","https://openalex.org/W1594946023","https://openalex.org/W1797897953","https://openalex.org/W1805140197","https://openalex.org/W1913703133","https://openalex.org/W1947252511","https://openalex.org/W1987617217","https://openalex.org/W2026293785","https://openalex.org/W2042389627","https://openalex.org/W2047029075","https://openalex.org/W2085443648","https://openalex.org/W2100684772","https://openalex.org/W2108991785","https://openalex.org/W2114538147","https://openalex.org/W2122843979","https://openalex.org/W2124592086","https://openalex.org/W2138041207","https://openalex.org/W2143326402","https://openalex.org/W2159123127","https://openalex.org/W2295240344","https://openalex.org/W2611894836","https://openalex.org/W2615115461","https://openalex.org/W2615447451","https://openalex.org/W2616380054","https://openalex.org/W4235234743","https://openalex.org/W6604859980","https://openalex.org/W6629307530","https://openalex.org/W6680470219","https://openalex.org/W6737354466","https://openalex.org/W7034062031"],"related_works":["https://openalex.org/W2139373276","https://openalex.org/W2227889443","https://openalex.org/W1509033667","https://openalex.org/W3041549465","https://openalex.org/W2380610138","https://openalex.org/W3171444480","https://openalex.org/W3212412177","https://openalex.org/W3173436410","https://openalex.org/W4206648670","https://openalex.org/W2529509480"],"abstract_inverted_index":{"An":[0],"object":[1,109,136,236],"on":[2,112,150,238],"the":[3,27,32,58,85,113,118,125,170,176,199,214,217],"Semantic":[4,114],"Web":[5],"is":[6,20,65,87,95,178],"likely":[7],"to":[8,21,123,212],"be":[9],"denoted":[10],"with":[11,45,180],"multiple":[12],"URIs":[13,24,40,78,130,148],"by":[14,31,71],"different":[15],"parties.":[16],"Object":[17],"coreference":[18,110],"resolution":[19,111],"identify":[22],"\"equivalent\"":[23],"that":[25,143,226],"denote":[26],"same":[28],"object.":[29],"Driven":[30],"Linking":[33],"Open":[34],"Data":[35],"(LOD)":[36],"initiative,":[37],"millions":[38],"of":[39,121,145,165,172,216],"have":[41],"been":[42],"explicitly":[43],"linked":[44],"owl:sameAs":[46],"statements,":[47],"but":[48,79,194],"potentially":[49],"coreferent":[50,77,129,147],"ones":[51],"are":[52,210],"still":[53],"considerable.":[54],"Existing":[55],"approaches":[56,122],"address":[57],"problem":[59],"mainly":[60],"from":[61,203],"two":[62,119],"directions:":[63],"one":[64],"based":[66,149],"upon":[67],"equivalence":[68],"inference":[69],"mandated":[70],"OWL":[72],"semantics,":[73],"which":[74,94,116,184],"finds":[75],"semantically":[76,128,146],"probably":[80],"omits":[81],"many":[82],"potential":[83,132],"ones;":[84],"other":[86],"via":[88],"similarity":[89],"computation":[90],"between":[91,127,201],"property-value":[92,167],"pairs,":[93],"not":[96,185],"always":[97],"accurate":[98],"enough.":[99],"In":[100,174,205],"this":[101],"paper,":[102],"we":[103,138],"propose":[104],"a":[105,141,181,221],"self-training":[106],"approach":[107,228],"for":[108,190,234],"Web,":[115],"leverages":[117],"classes":[120],"bridge":[124],"gap":[126],"and":[131,155,157,224,232,241],"candidates.":[133],"For":[134],"an":[135,192],"URI,":[137],"firstly":[139],"establish":[140],"kernel":[142,161],"consists":[144],"owl:sameAs,":[151],"(inverse)":[152],"functional":[153],"properties":[154,202],"(max-)cardinalities,":[156],"then":[158],"extend":[159],"such":[160],"iteratively":[162],"in":[163,169],"terms":[164],"discriminative":[166],"pairs":[168],"descriptions":[171],"URIs.":[173],"particular,":[175],"discriminability":[177],"learnt":[179],"statistical":[182],"measurement,":[183],"only":[186],"exploits":[187],"key":[188],"characteristics":[189],"representing":[191],"object,":[193],"also":[195],"takes":[196],"into":[197],"account":[198],"matchability":[200],"pragmatics.":[204],"addition,":[206],"frequent":[207],"property":[208],"combinations":[209],"mined":[211],"improve":[213],"accuracy":[215],"resolution.":[218],"We":[219],"implement":[220],"scalable":[222],"system":[223],"demonstrate":[225],"our":[227],"achieves":[229],"good":[230],"precision":[231],"recall":[233],"resolving":[235],"coreference,":[237],"both":[239],"benchmark":[240],"large-scale":[242],"datasets.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":13},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":12},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":18}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}