{"id":"https://openalex.org/W4200029949","doi":"https://doi.org/10.1109/clei53233.2021.9639968","title":"Using Open Information Extraction to Extract Relations: An Extended Systematic Mapping","display_name":"Using Open Information Extraction to Extract Relations: An Extended Systematic Mapping","publication_year":2021,"publication_date":"2021-10-25","ids":{"openalex":"https://openalex.org/W4200029949","doi":"https://doi.org/10.1109/clei53233.2021.9639968"},"language":"en","primary_location":{"id":"doi:10.1109/clei53233.2021.9639968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei53233.2021.9639968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 XLVII Latin American Computing Conference (CLEI)","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/A5042660497","display_name":"Vinicius dos Santos","orcid":"https://orcid.org/0000-0002-0357-8823"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Vinicius dos Santos","raw_affiliation_strings":["University of S\u00e3o Paulo (ICMC-USP) - S\u00e3o Carlos - Brazil, S\u00e3o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo (ICMC-USP) - S\u00e3o Carlos - Brazil, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062216834","display_name":"Patrick R. Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Patrick R. Silva","raw_affiliation_strings":["Federal University of Technology of Paran\u00e1, Corn\u00e9lio Proc\u00f3pio, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Technology of Paran\u00e1, Corn\u00e9lio Proc\u00f3pio, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050603863","display_name":"\u00c9rica Ferreira de Souza","orcid":"https://orcid.org/0000-0002-5425-145X"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Erica F. Souza","raw_affiliation_strings":["Federal University of Technology of Paran\u00e1, Corn\u00e9lio Proc\u00f3pio, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Technology of Paran\u00e1, Corn\u00e9lio Proc\u00f3pio, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043877845","display_name":"Katia Romero Felizardo","orcid":"https://orcid.org/0000-0001-9080-4165"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Katia. R. Felizardo","raw_affiliation_strings":["Federal University of Technology of Paran\u00e1, Corn\u00e9lio Proc\u00f3pio, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Technology of Paran\u00e1, Corn\u00e9lio Proc\u00f3pio, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057167178","display_name":"Willian Massami Watanabe","orcid":"https://orcid.org/0000-0001-6910-5730"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Willian M. Watanabe","raw_affiliation_strings":["Federal University of Technology of Paran\u00e1, Corn\u00e9lio Proc\u00f3pio, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Technology of Paran\u00e1, Corn\u00e9lio Proc\u00f3pio, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083987838","display_name":"Arnaldo C\u00e2ndido","orcid":"https://orcid.org/0000-0002-5647-0891"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Arnaldo Candido Junior","raw_affiliation_strings":["Federal University of Technology of Paran\u00e1, Corn\u00e9lio Proc\u00f3pio, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Technology of Paran\u00e1, Corn\u00e9lio Proc\u00f3pio, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045644562","display_name":"Giovani Volnei Meinerz","orcid":"https://orcid.org/0000-0003-0915-3436"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Giovani V. Meinerz","raw_affiliation_strings":["Federal University of Technology of Paran\u00e1, Corn\u00e9lio Proc\u00f3pio, Brazil"],"affiliations":[{"raw_affiliation_string":"Federal University of Technology of Paran\u00e1, Corn\u00e9lio Proc\u00f3pio, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059202822","display_name":"Sandra Maria Alu\u00edsio","orcid":"https://orcid.org/0000-0001-5108-2630"},"institutions":[{"id":"https://openalex.org/I17974374","display_name":"Universidade de S\u00e3o Paulo","ror":"https://ror.org/036rp1748","country_code":"BR","type":"education","lineage":["https://openalex.org/I17974374"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Sandra M. Aluisio","raw_affiliation_strings":["University of S\u00e3o Paulo (ICMC-USP) - S\u00e3o Carlos - Brazil, S\u00e3o Paulo, Brazil"],"affiliations":[{"raw_affiliation_string":"University of S\u00e3o Paulo (ICMC-USP) - S\u00e3o Carlos - Brazil, S\u00e3o Paulo, Brazil","institution_ids":["https://openalex.org/I17974374"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035754235","display_name":"Nandamundi L. Vijaykumar","orcid":null},"institutions":[{"id":"https://openalex.org/I80849659","display_name":"National Institute for Space Research","ror":"https://ror.org/04xbn6x09","country_code":"BR","type":"facility","lineage":["https://openalex.org/I4210151455","https://openalex.org/I80849659"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Nandamundi L. VijayKumar","raw_affiliation_strings":["National Institute for Space Research (INPE), Brazil"],"affiliations":[{"raw_affiliation_string":"National Institute for Space Research (INPE), Brazil","institution_ids":["https://openalex.org/I80849659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5042660497"],"corresponding_institution_ids":["https://openalex.org/I17974374"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28640313,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9976000189781189,"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":0.9948999881744385,"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":0.8571844696998596},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.6467059850692749},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6357177495956421},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5687341690063477},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5525017380714417},{"id":"https://openalex.org/keywords/data-extraction","display_name":"Data extraction","score":0.5502134561538696},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5481852889060974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5357702374458313},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5240205526351929},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5150244235992432},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4670150876045227},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4393216669559479},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4343881905078888},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3976539969444275},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3851090669631958},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3304283618927002}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8571844696998596},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.6467059850692749},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6357177495956421},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5687341690063477},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5525017380714417},{"id":"https://openalex.org/C2777466982","wikidata":"https://www.wikidata.org/wiki/Q5227287","display_name":"Data extraction","level":3,"score":0.5502134561538696},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5481852889060974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5357702374458313},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5240205526351929},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5150244235992432},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4670150876045227},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4393216669559479},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4343881905078888},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3976539969444275},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3851090669631958},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3304283618927002},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/clei53233.2021.9639968","is_oa":false,"landing_page_url":"https://doi.org/10.1109/clei53233.2021.9639968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 XLVII Latin American Computing Conference (CLEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G2360882330","display_name":null,"funder_award_id":"PROEX-11308091/D","funder_id":"https://openalex.org/F4320321091","funder_display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior"},{"id":"https://openalex.org/G2868072242","display_name":null,"funder_award_id":"2015/24144-7,2019/23663-1","funder_id":"https://openalex.org/F4320320997","funder_display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo"}],"funders":[{"id":"https://openalex.org/F4320320997","display_name":"Funda\u00e7\u00e3o de Amparo \u00e0 Pesquisa do Estado de S\u00e3o Paulo","ror":"https://ror.org/02ddkpn78"},{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W317793146","https://openalex.org/W1520485300","https://openalex.org/W1565862766","https://openalex.org/W1578835049","https://openalex.org/W1579838312","https://openalex.org/W1971563386","https://openalex.org/W1975675278","https://openalex.org/W1999798506","https://openalex.org/W2015707701","https://openalex.org/W2019955851","https://openalex.org/W2028140375","https://openalex.org/W2072668705","https://openalex.org/W2100749152","https://openalex.org/W2105446980","https://openalex.org/W2127978399","https://openalex.org/W2129842875","https://openalex.org/W2132522721","https://openalex.org/W2162340487","https://openalex.org/W2167187514","https://openalex.org/W2169232658","https://openalex.org/W2181320390","https://openalex.org/W2250225327","https://openalex.org/W2250724656","https://openalex.org/W2251370197","https://openalex.org/W2251960799","https://openalex.org/W2471366537","https://openalex.org/W2509043545","https://openalex.org/W2563163303","https://openalex.org/W2600834311","https://openalex.org/W2620968868","https://openalex.org/W2787579117","https://openalex.org/W2810987158","https://openalex.org/W2885780135","https://openalex.org/W2941916520","https://openalex.org/W2963653592","https://openalex.org/W2995151999","https://openalex.org/W3128913221","https://openalex.org/W6629638141","https://openalex.org/W6633902823","https://openalex.org/W6679586005","https://openalex.org/W6684350123","https://openalex.org/W6685441983","https://openalex.org/W6691462941","https://openalex.org/W6691633450","https://openalex.org/W6691885413","https://openalex.org/W6720922435","https://openalex.org/W6747698171","https://openalex.org/W6759284170","https://openalex.org/W7000548088"],"related_works":["https://openalex.org/W2016355461","https://openalex.org/W2386938185","https://openalex.org/W2068844411","https://openalex.org/W1986386500","https://openalex.org/W2793744252","https://openalex.org/W1516746680","https://openalex.org/W2072284316","https://openalex.org/W1837359179","https://openalex.org/W2165504147","https://openalex.org/W2986643010"],"abstract_inverted_index":{"Context:":[0],"For":[1],"thousands":[2],"of":[3,30,136,194,238],"years":[4],"humans":[5],"have":[6,257],"been":[7],"using":[8,70,155,239],"natural":[9,77],"language":[10],"to":[11,18,22,44,73,88,104,113,229,233,256,263],"register":[12],"their":[13],"knowledge":[14,50,285],"on":[15,37,261],"important":[16,208],"information":[17,90],"enable":[19],"its":[20],"access":[21],"future":[23],"generations.":[24],"With":[25],"internet,":[26],"a":[27,38,63,149,159,188,258],"large":[28],"amount":[29],"textual":[31,53,266],"data":[32,182,217,267],"is":[33,101],"produced":[34],"and":[35,69,158,220,250],"shared":[36],"daily":[39],"basis.":[40],"So,":[41],"scientists":[42,255],"started":[43,228],"research":[45],"techniques":[46,213,253],"for":[47,181],"efficiently":[48],"process":[49,74],"stored":[51],"in":[52,76,97,130,148,191,200,247,280,284],"format.":[54],"In":[55,79,125,204],"this":[56,98,126],"context,":[57],"Natural":[58],"Language":[59],"Processing":[60],"(NLP)":[61],"became":[62],"popular":[64],"area":[65],"studying":[66],"linguistic":[67],"phenomena":[68],"computational":[71],"methods":[72],"texts":[75],"language.":[78],"particular,":[80],"Open":[81,121,138,176,198,235,270],"Information":[82],"Extraction":[83],"(Open":[84],"IE)":[85],"was":[86],"proposed":[87,112,137,215],"gather":[89],"from":[91],"plain":[92],"text.":[93],"Despite":[94],"the":[95,115,131,133,145,165,192,201],"advances":[96,246],"area,":[99],"it":[100],"still":[102],"necessary":[103],"map":[105],"details":[106,209],"about":[107,197,210],"how":[108,211,262],"these":[109,212],"approaches":[110,178,272],"were":[111,179,214],"support":[114],"community":[116],"while":[117],"creating":[118],"more":[119],"efficient":[120,265],"IE":[122,139,177,199,236,271],"systems.":[123],"Objective:":[124],"paper,":[127],"we":[128,143,163,206],"identify,":[129],"literature,":[132],"main":[134],"characteristics":[135],"approaches.":[140],"Method:":[141],"First,":[142],"extended":[144],"search":[146,168],"performed":[147],"systematic":[150],"mapping":[151],"previously":[152],"published":[153,196],"by":[154],"backward":[156],"snowballing":[157],"manual":[160],"search.":[161],"Next,":[162],"updated":[164],"electronic":[166],"database":[167],"including":[169],"ACL":[170],"Anthology.":[171],"Finally,":[172],"159":[173],"studies":[174,195],"proposing":[175],"considered":[180],"extraction.":[183],"Results:":[184],"Data":[185],"analysis":[186],"showed":[187],"significant":[189],"increase":[190],"number":[193],"last":[202],"years.":[203],"addition,":[205],"provide":[207],"(e.g.,":[216],"sets":[218],"used":[219],"output":[221],"evaluation":[222],"techniques).":[223],"Results":[224],"indicate":[225],"that":[226],"researchers":[227],"adopt":[230],"neural":[231,251],"networks":[232,252],"perform":[234,264],"instead":[237],"conventional":[240],"supervised":[241],"learning":[242],"techniques.":[243],"Conclusion:":[244],"Recent":[245],"Artificial":[248],"Intelligence":[249],"allowed":[254],"new":[259],"perspective":[260],"management.":[268],"Therefore,":[269],"gained":[273],"much":[274],"attention":[275],"as":[276],"they":[277],"can":[278],"help":[279],"many":[281],"contexts,":[282],"especially":[283],"management":[286],"tasks.":[287]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}