{"id":"https://openalex.org/W2758658686","doi":"https://doi.org/10.1145/3133811.3133829","title":"Detect Incorrect Triples in Knowledge Base Based on Triple Confidence Evaluation","display_name":"Detect Incorrect Triples in Knowledge Base Based on Triple Confidence Evaluation","publication_year":2017,"publication_date":"2017-08-17","ids":{"openalex":"https://openalex.org/W2758658686","doi":"https://doi.org/10.1145/3133811.3133829","mag":"2758658686"},"language":"en","primary_location":{"id":"doi:10.1145/3133811.3133829","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3133811.3133829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Industrial and Business Engineering","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/A5109535668","display_name":"Haihua Xie","orcid":"https://orcid.org/0000-0002-3357-4006"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210101356","display_name":"Beijing Founder Electronics (China)","ror":"https://ror.org/00nwrzz95","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101356"]},{"id":"https://openalex.org/I4391767988","display_name":"State Key Laboratory of Digital Publishing Technology","ror":"https://ror.org/021s6g098","country_code":null,"type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I4391767988"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Haihua Xie","raw_affiliation_strings":["Institute of Computer Science &amp; Technology, Peking University, Beijing, China, State Key Laboratory of Digital Publishing Technology (Peking University Founder Group Co. LTD.), Beijing, China, Postdoctoral Workstation of the Zhongguancun Haidian Science Park, Beijing, China, Zhongguancun, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science &amp; Technology, Peking University, Beijing, China, State Key Laboratory of Digital Publishing Technology (Peking University Founder Group Co. LTD.), Beijing, China, Postdoctoral Workstation of the Zhongguancun Haidian Science Park, Beijing, China, Zhongguancun, Beijing, China","institution_ids":["https://openalex.org/I4210101356","https://openalex.org/I20231570","https://openalex.org/I4391767988"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111928984","display_name":"Xiaoqing Lu","orcid":"https://orcid.org/0009-0002-7354-1214"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Lu","raw_affiliation_strings":["Institute of Computer Science &amp; Technology, Peking University, Zhongguancun, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science &amp; Technology, Peking University, Zhongguancun, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103175239","display_name":"Zhi Tang","orcid":"https://orcid.org/0000-0002-6021-8357"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Tang","raw_affiliation_strings":["Institute of Computer Science &amp; Technology, Peking University, Zhongguancun, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Science &amp; Technology, Peking University, Zhongguancun, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101472446","display_name":"Xiao\u2010Jun Huang","orcid":"https://orcid.org/0000-0002-3636-4813"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojun Huang","raw_affiliation_strings":["State Key Laboratory of Digital Publishing Technology, Peking University Founder Group Co. LTD., Zhongguancun, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Publishing Technology, Peking University Founder Group Co. LTD., Zhongguancun, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5109535668"],"corresponding_institution_ids":["https://openalex.org/I20231570","https://openalex.org/I4210101356","https://openalex.org/I4391767988"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12869977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"93","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9976999759674072,"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":0.9976999759674072,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.994700014591217,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9926000237464905,"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":0.7600841522216797},{"id":"https://openalex.org/keywords/knowledge-base","display_name":"Knowledge base","score":0.6966270804405212},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5381404161453247},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5285812020301819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5283884406089783},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.4879688620567322},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48658525943756104},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.4809371829032898},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.47441762685775757},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.46645990014076233},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46193376183509827},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4553114175796509},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38807231187820435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38177788257598877},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13330748677253723},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10197892785072327}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600841522216797},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.6966270804405212},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5381404161453247},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5285812020301819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5283884406089783},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4879688620567322},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48658525943756104},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.4809371829032898},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.47441762685775757},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46645990014076233},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46193376183509827},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4553114175796509},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38807231187820435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38177788257598877},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13330748677253723},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10197892785072327},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3133811.3133829","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3133811.3133829","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Industrial and Business Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W88663061","https://openalex.org/W205829674","https://openalex.org/W1493584520","https://openalex.org/W1497506596","https://openalex.org/W1529533208","https://openalex.org/W1541579345","https://openalex.org/W1965667542","https://openalex.org/W1978461101","https://openalex.org/W1996587436","https://openalex.org/W2015657089","https://openalex.org/W2024635814","https://openalex.org/W2046608357","https://openalex.org/W2072692647","https://openalex.org/W2103931177","https://openalex.org/W2161498199","https://openalex.org/W4231095432","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4237775755","https://openalex.org/W2355172082","https://openalex.org/W1580667900","https://openalex.org/W1979978247","https://openalex.org/W2102929690","https://openalex.org/W2160911376","https://openalex.org/W2333104768","https://openalex.org/W1519580318","https://openalex.org/W2787986796","https://openalex.org/W1838463810"],"abstract_inverted_index":{"The":[0,27],"knowledge":[1,16,24,34,40,58],"base":[2,35],"is":[3,20,76],"an":[4],"important":[5],"form":[6],"of":[7,15,23,29,39,55,73,104,121,136,146],"data":[8,134],"storage":[9],"and":[10,18,60,95,110,150],"organization":[11],"in":[12,32,57,92],"the":[13,21,30,33,37,52,71,88,93,96,117,144],"fields":[14],"service,":[17],"it":[19],"basis":[22],"representation":[25],"learning.":[26],"accuracy":[28],"contents":[31],"determines":[36],"effectiveness":[38],"service":[41],"applications.":[42],"This":[43],"study":[44],"proposes":[45],"a":[46,74,102,133],"generic":[47],"computational":[48],"methodology":[49],"to":[50,86,142],"evaluate":[51],"confidence":[53,72,119,149],"level":[54],"triples":[56,124,153],"bases":[59],"detect":[61],"potentially":[62],"incorrect":[63,123],"ones":[64],"for":[65],"further":[66],"verification.":[67],"In":[68],"our":[69,155],"methodology,":[70],"triple":[75,148],"evaluated":[77],"based":[78],"on":[79,116,132],"weighted":[80],"feature":[81,97],"words":[82,98],"that":[83],"are":[84,99,125],"able":[85],"characterize":[87],"subject-object":[89],"relation":[90],"embedded":[91],"triple,":[94],"extracted":[100],"from":[101],"corpus":[103],"natural":[105,111],"language":[106,112],"sentences":[107],"using":[108,127,154],"statistical":[109],"processing":[113],"techniques.":[114],"Based":[115],"calculated":[118],"values":[120],"triples,":[122],"detected":[126],"machine-learning-based":[128],"classification.":[129],"An":[130],"experiment":[131],"set":[135],"industry":[137],"applications":[138],"has":[139],"been":[140],"conducted":[141],"demonstrate":[143],"workflow":[145],"evaluating":[147],"detecting":[151],"in-correct":[152],"methodology.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
