{"id":"https://openalex.org/W3095555915","doi":"https://doi.org/10.1145/3428502.3428514","title":"What do governments plan in the field of artificial intelligence?","display_name":"What do governments plan in the field of artificial intelligence?","publication_year":2020,"publication_date":"2020-09-23","ids":{"openalex":"https://openalex.org/W3095555915","doi":"https://doi.org/10.1145/3428502.3428514","mag":"3095555915"},"language":"en","primary_location":{"id":"doi:10.1145/3428502.3428514","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3428502.3428514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance","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/A5059459239","display_name":"Thodoris Papadopoulos","orcid":"https://orcid.org/0000-0003-0872-9878"},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Theodoros Papadopoulos","raw_affiliation_strings":["University of the Aegean, Greece"],"affiliations":[{"raw_affiliation_string":"University of the Aegean, Greece","institution_ids":["https://openalex.org/I98805295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071518229","display_name":"Yannis Charalabidis","orcid":"https://orcid.org/0000-0003-3760-5495"},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Yannis Charalabidis","raw_affiliation_strings":["University of the Aegean, Greece"],"affiliations":[{"raw_affiliation_string":"University of the Aegean, Greece","institution_ids":["https://openalex.org/I98805295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5059459239"],"corresponding_institution_ids":["https://openalex.org/I98805295"],"apc_list":null,"apc_paid":null,"fwci":14.2658,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.98733344,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"100","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13910","display_name":"Computational and Text Analysis Methods","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/3300","display_name":"General Social Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9853000044822693,"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/T10028","display_name":"Topic Modeling","score":0.9745000004768372,"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":0.6622394919395447},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6526753902435303},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5988956093788147},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5700188279151917},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5675033926963806},{"id":"https://openalex.org/keywords/document-clustering","display_name":"Document clustering","score":0.4930424392223358},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.46716630458831787},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.45850875973701477},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.451550155878067},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.44744592905044556},{"id":"https://openalex.org/keywords/strategic-planning","display_name":"Strategic planning","score":0.42242109775543213},{"id":"https://openalex.org/keywords/german","display_name":"German","score":0.41571471095085144},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3756530284881592},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.12172582745552063},{"id":"https://openalex.org/keywords/management","display_name":"Management","score":0.10483413934707642}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6622394919395447},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6526753902435303},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5988956093788147},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5700188279151917},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5675033926963806},{"id":"https://openalex.org/C177937566","wikidata":"https://www.wikidata.org/wiki/Q4223102","display_name":"Document clustering","level":3,"score":0.4930424392223358},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.46716630458831787},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.45850875973701477},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.451550155878067},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.44744592905044556},{"id":"https://openalex.org/C48243021","wikidata":"https://www.wikidata.org/wiki/Q932522","display_name":"Strategic planning","level":2,"score":0.42242109775543213},{"id":"https://openalex.org/C154775046","wikidata":"https://www.wikidata.org/wiki/Q188","display_name":"German","level":2,"score":0.41571471095085144},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3756530284881592},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.12172582745552063},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.10483413934707642},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3428502.3428514","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3428502.3428514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W13343750","https://openalex.org/W658020064","https://openalex.org/W1533700234","https://openalex.org/W1579838312","https://openalex.org/W1854214752","https://openalex.org/W1880262756","https://openalex.org/W1967807490","https://openalex.org/W2104924585","https://openalex.org/W2144874182","https://openalex.org/W2147946282","https://openalex.org/W2179362017","https://openalex.org/W2204903514","https://openalex.org/W2398350456","https://openalex.org/W2493916176","https://openalex.org/W2522450355","https://openalex.org/W2567582922","https://openalex.org/W2784595582","https://openalex.org/W2882319491","https://openalex.org/W2904461412","https://openalex.org/W2962739339","https://openalex.org/W2964061924","https://openalex.org/W2964209171","https://openalex.org/W3124036970","https://openalex.org/W6794371593"],"related_works":["https://openalex.org/W2804364458","https://openalex.org/W4298130764","https://openalex.org/W2019737068","https://openalex.org/W2899601636","https://openalex.org/W4254379378","https://openalex.org/W2397699364","https://openalex.org/W3015674157","https://openalex.org/W4206655101","https://openalex.org/W4237592971","https://openalex.org/W2387982377"],"abstract_inverted_index":{"The":[0,172,197,233],"primary":[1],"goal":[2],"of":[3,36,42,58,97,121,128,144,165,191,202,211,259,276,295],"this":[4,51],"paper":[5],"is":[6],"to":[7,64,81,147,161,243,283,292],"explore":[8,27],"how":[9],"Natural":[10],"Language":[11],"Processing":[12],"techniques":[13,29],"(NLP)":[14],"can":[15],"assist":[16],"in":[17,62,149,241],"reviewing,":[18],"understanding,":[19],"and":[20,33,71,78,84,104,135,213,219,226,237,267,274,278],"drawing":[21],"conclusions":[22],"from":[23,39,110],"text":[24,41],"datasets.":[25],"We":[26],"NLP":[28],"for":[30,114,125,188],"the":[31,34,40,67,87,95,98,102,111,119,122,126,130,141,150,154,163,169,189,192,209,216,220,224,227,231,247,250,257,260,284,293],"analysis":[32],"extraction":[35],"useful":[37],"information":[38],"twelve":[43],"national":[44,112],"strategies":[45,88,113,210,222],"on":[46,90,215,230],"artificial":[47,115],"intelligence":[48],"(AI).":[49],"For":[50],"purpose,":[52],"we":[53,100,158],"are":[54,290],"using":[55],"a":[56,205,253,265,272,280],"set":[57],"machine":[59],"learning":[60],"algorithms":[61],"order":[63,242],"(a)":[65],"extract":[66],"most":[68],"significant":[69],"keywords":[70],"summarize":[72],"each":[73,82],"strategy":[74],"document,":[75,83],"(b)":[76],"discover":[77],"assign":[79],"topics":[80],"(c)":[85],"cluster":[86],"based":[89],"their":[91],"pair-wise":[92],"similarity.":[93],"Using":[94],"results":[96,198],"analysis,":[99],"discuss":[101],"findings":[103],"highlight":[105],"critical":[106],"issues":[107,288],"that":[108,289],"emerge":[109],"intelligence,":[116],"such":[117],"as":[118,138,140,185,264,271],"importance":[120],"data":[123],"ecosystem":[124],"development":[127,239,294],"AI,":[129,277],"increasing":[131],"considerations":[132],"about":[133],"ethical":[134,285],"safety":[136,287],"issues,":[137],"well":[139],"growing":[142],"ambition":[143],"many":[145],"countries":[146,203],"lead":[148],"AI":[151,245],"race.":[152],"Utilizing":[153],"LDA":[155],"topic":[156,173],"model,":[157],"were":[159,176],"able":[160],"reveal":[162],"distributions":[164,175],"thematic":[166],"sub-topics":[167],"among":[168],"strategic":[170,193],"documents.":[171],"modelling":[174],"then":[177],"used":[178],"along":[179],"with":[180,204,246],"other":[181],"document":[182],"similarity":[183],"measures":[184],"an":[186],"input":[187],"clustering":[190],"documents":[194],"into":[195],"groups.":[196],"revealed":[199],"three":[200],"clusters":[201],"visible":[206],"differentiation":[207],"between":[208],"China":[212],"Japan":[214],"one":[217,229],"hand":[218],"Scandinavian":[221],"(plus":[223],"German":[225],"Luxemburgish)":[228],"other.":[232],"former":[234],"promote":[235],"technology":[236],"innovation-driven":[238],"plans":[240],"integrate":[244],"economy,":[248],"while":[249],"latter":[251],"share":[252],"common":[254],"view":[255],"regarding":[256],"role":[258],"public":[261],"sector":[262],"both":[263],"promoter":[266],"investor":[268],"but":[269],"also":[270],"user":[273],"beneficiary":[275],"give":[279],"higher":[281],"priority":[282],"&":[286],"connected":[291],"AI.":[296]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-01T17:29:45.350535","created_date":"2025-10-10T00:00:00"}
