{"id":"https://openalex.org/W3043466829","doi":"https://doi.org/10.1109/comm48946.2020.9141972","title":"Model and Algorithms for Optimizing a Human Computing System Oriented to Knowledge Extraction by Use of Crowdsourcing","display_name":"Model and Algorithms for Optimizing a Human Computing System Oriented to Knowledge Extraction by Use of Crowdsourcing","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3043466829","doi":"https://doi.org/10.1109/comm48946.2020.9141972","mag":"3043466829"},"language":"en","primary_location":{"id":"doi:10.1109/comm48946.2020.9141972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comm48946.2020.9141972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Conference on Communications (COMM)","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/A5018003314","display_name":"Florin Enache","orcid":null},"institutions":[{"id":"https://openalex.org/I2802885015","display_name":"Military Technical Academy","ror":"https://ror.org/01tqmsq19","country_code":"RO","type":"education","lineage":["https://openalex.org/I2802885015"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Florin Enache","raw_affiliation_strings":["Military Technical Academy \u201e Ferdinand I\", Bucharest, Romania","Military Technical Academy \" Ferdinand I\", Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Military Technical Academy \u201e Ferdinand I\", Bucharest, Romania","institution_ids":["https://openalex.org/I2802885015"]},{"raw_affiliation_string":"Military Technical Academy \" Ferdinand I\", Bucharest, Romania","institution_ids":["https://openalex.org/I2802885015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024055695","display_name":"Victor Greu","orcid":null},"institutions":[{"id":"https://openalex.org/I2802885015","display_name":"Military Technical Academy","ror":"https://ror.org/01tqmsq19","country_code":"RO","type":"education","lineage":["https://openalex.org/I2802885015"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Victor Greu","raw_affiliation_strings":["Military Technical Academy \u201e Ferdinand I\", Bucharest, Romania","Military Technical Academy \" Ferdinand I\", Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Military Technical Academy \u201e Ferdinand I\", Bucharest, Romania","institution_ids":["https://openalex.org/I2802885015"]},{"raw_affiliation_string":"Military Technical Academy \" Ferdinand I\", Bucharest, Romania","institution_ids":["https://openalex.org/I2802885015"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022650797","display_name":"Petric\u0103 Ciot\u00eernae","orcid":"https://orcid.org/0000-0002-2871-3227"},"institutions":[{"id":"https://openalex.org/I2802885015","display_name":"Military Technical Academy","ror":"https://ror.org/01tqmsq19","country_code":"RO","type":"education","lineage":["https://openalex.org/I2802885015"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Petrica Ciotirnae","raw_affiliation_strings":["Military Technical Academy \u201e Ferdinand I\", Bucharest, Romania","Military Technical Academy \" Ferdinand I\", Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Military Technical Academy \u201e Ferdinand I\", Bucharest, Romania","institution_ids":["https://openalex.org/I2802885015"]},{"raw_affiliation_string":"Military Technical Academy \" Ferdinand I\", Bucharest, Romania","institution_ids":["https://openalex.org/I2802885015"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087908544","display_name":"Florin Popescu","orcid":"https://orcid.org/0000-0003-2238-7990"},"institutions":[{"id":"https://openalex.org/I2802885015","display_name":"Military Technical Academy","ror":"https://ror.org/01tqmsq19","country_code":"RO","type":"education","lineage":["https://openalex.org/I2802885015"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Florin Popescu","raw_affiliation_strings":["Military Technical Academy \u201e Ferdinand I\", Bucharest, Romania","Military Technical Academy \" Ferdinand I\", Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"Military Technical Academy \u201e Ferdinand I\", Bucharest, Romania","institution_ids":["https://openalex.org/I2802885015"]},{"raw_affiliation_string":"Military Technical Academy \" Ferdinand I\", Bucharest, Romania","institution_ids":["https://openalex.org/I2802885015"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018003314"],"corresponding_institution_ids":["https://openalex.org/I2802885015"],"apc_list":null,"apc_paid":null,"fwci":0.2456,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.63955991,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"302"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11182","display_name":"Auction Theory and Applications","score":0.984499990940094,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9782000184059143,"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":0.8101209402084351},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7152401208877563},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.6978719830513},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6692749261856079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6369297504425049},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5246096849441528},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46301811933517456},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4359702467918396},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4150688052177429},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11371451616287231}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8101209402084351},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7152401208877563},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.6978719830513},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6692749261856079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6369297504425049},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5246096849441528},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46301811933517456},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4359702467918396},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4150688052177429},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11371451616287231},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comm48946.2020.9141972","is_oa":false,"landing_page_url":"https://doi.org/10.1109/comm48946.2020.9141972","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Conference on Communications (COMM)","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":14,"referenced_works":["https://openalex.org/W1522548332","https://openalex.org/W1889081078","https://openalex.org/W1931639407","https://openalex.org/W2078429476","https://openalex.org/W2096848877","https://openalex.org/W2142518823","https://openalex.org/W2856761104","https://openalex.org/W2887279195","https://openalex.org/W2902124236","https://openalex.org/W4233354126","https://openalex.org/W6631298418","https://openalex.org/W6639432524","https://openalex.org/W6680957539","https://openalex.org/W6756853793"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114"],"abstract_inverted_index":{"The":[0],"paper":[1],"is":[2,54,207,224],"addressing":[3],"the":[4,11,24,78,132,161,170,180,204,213,234],"actual":[5],"context":[6],"of":[7,26,117,134,152,165,176,200,222,233,242],"Data":[8],"Deluge,":[9],"where":[10,52],"need":[12],"and":[13,57,67,76,106,155,183,219,227,236,246],"also":[14,169],"premises":[15],"to":[16,94,110,114,127,186,189],"extract":[17],"more":[18,128,138],"knowledge":[19,129,166,248],"are":[20],"increasing,":[21],"along":[22],"with":[23],"increase":[25,95],"our":[27,62],"expectations":[28],"about":[29],"performances.":[30],"Besides,":[31],"improving":[32],"artificial":[33],"intelligence":[34],"(AI),":[35],"by":[36,131,173],"machine":[37],"learning":[38,41,45,108,177],"(ML),":[39],"deep":[40],"(DL)":[42],"or":[43,145],"cognitive":[44],"(CL)":[46],"performance/potential,":[47],"when":[48,83],"adding":[49,98],"human":[50,85,89,100],"contributions":[51],"necessary,":[53],"an":[55],"important":[56],"promising":[58],"research":[59],"area.":[60],"Consequently,":[61],"model,":[63],"algorithms":[64],"(ALG1;":[65],"ALG2)":[66],"soft":[68],"programs":[69],"provide":[70],"useful":[71],"new":[72],"instruments":[73,149],"for":[74,102,196,238],"implementing":[75],"optimizing":[77],"workflow":[79,237],"based":[80],"on":[81],"crowdsourcing,":[82],"using":[84,209],"potential":[86,220],"in":[87,215],"a":[88,230,240],"computing":[90],"system.":[91],"We":[92],"aim":[93],"AI":[96,104],"quality":[97],"multiple":[99],"outputs":[101],"every":[103],"task":[105],"leveraging":[107,247],"rules":[109],"be":[111,125,187,194],"then":[112,192],"extended":[113],"larger":[115,198],"sets":[116,218],"tasks.":[118],"This":[119],"way,":[120],"such":[121],"hybrid":[122],"system":[123,235],"could":[124,193],"oriented":[126],"extraction,":[130,167],"generalization":[133],"images/":[135],"captions/labels":[136],"toward":[137],"complex":[139],"tasks,":[140],"like":[141],"providing":[142],"content":[143],"essential":[144],"question":[146],"answering.":[147],"Our":[148],"include":[150],"features":[151],"ranking":[153],"workers":[154,181],"tasks":[156,184,243],"profiles,":[157],"which":[158,191],"will":[159],"support":[160],"main":[162],"original":[163],"process":[164],"but":[168],"inference":[171],"elements,":[172],"small":[174],"amounts":[175],"data":[178],"(regarding":[179],"skills":[182],"efficiency)":[185],"transferred":[188],"AI/ML/DL/CL,":[190],"used":[195],"processing":[197],"volumes":[199],"similar":[201],"data.":[202],"Among":[203],"results":[205],"conclusions":[206],"that":[208],"progressive":[210],"optimization,":[211],"structuring":[212],"data/tasks":[214],"variable":[216],"(progressive)":[217],"(skill/number)":[221],"workers,":[223],"both":[225],"efficacious":[226],"efficient,":[228],"allowing":[229],"flexible":[231],"control":[232],"matching":[239],"diversity":[241],"complexity/":[244],"difficulty/volume":[245],"extraction.":[249]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}