{"id":"https://openalex.org/W4401110316","doi":"https://doi.org/10.1109/cits61189.2024.10608024","title":"A Novel Weight-Driven ATN-Based SQL Sentence Generator to Accommodate AI-Based Reinforcement Learning","display_name":"A Novel Weight-Driven ATN-Based SQL Sentence Generator to Accommodate AI-Based Reinforcement Learning","publication_year":2024,"publication_date":"2024-07-17","ids":{"openalex":"https://openalex.org/W4401110316","doi":"https://doi.org/10.1109/cits61189.2024.10608024"},"language":"en","primary_location":{"id":"doi:10.1109/cits61189.2024.10608024","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cits61189.2024.10608024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer, Information and Telecommunication Systems (CITS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://myresearchspace.uws.ac.uk/ws/files/50507729/2024_06_03_Troy_et_al_ATN_accepted_-_for_Pure.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029461555","display_name":"Christopher Troy","orcid":"https://orcid.org/0009-0006-4107-6775"},"institutions":[{"id":"https://openalex.org/I868834043","display_name":"University of the West of Scotland","ror":"https://ror.org/04w3d2v20","country_code":"GB","type":"education","lineage":["https://openalex.org/I868834043"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Christopher Troy","raw_affiliation_strings":["CEPS, University of the West of Scotland,Paisley,Scotland"],"affiliations":[{"raw_affiliation_string":"CEPS, University of the West of Scotland,Paisley,Scotland","institution_ids":["https://openalex.org/I868834043"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100341330","display_name":"Qi Wang","orcid":"https://orcid.org/0000-0002-7764-9858"},"institutions":[{"id":"https://openalex.org/I868834043","display_name":"University of the West of Scotland","ror":"https://ror.org/04w3d2v20","country_code":"GB","type":"education","lineage":["https://openalex.org/I868834043"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Qi Wang","raw_affiliation_strings":["CEPS, University of the West of Scotland,Paisley,Scotland"],"affiliations":[{"raw_affiliation_string":"CEPS, University of the West of Scotland,Paisley,Scotland","institution_ids":["https://openalex.org/I868834043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049376858","display_name":"Jos\u00e9 M. Alcaraz Calero","orcid":"https://orcid.org/0000-0002-2654-7595"},"institutions":[{"id":"https://openalex.org/I868834043","display_name":"University of the West of Scotland","ror":"https://ror.org/04w3d2v20","country_code":"GB","type":"education","lineage":["https://openalex.org/I868834043"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jose M. Alcaraz-Calero","raw_affiliation_strings":["CEPS, University of the West of Scotland,Paisley,Scotland"],"affiliations":[{"raw_affiliation_string":"CEPS, University of the West of Scotland,Paisley,Scotland","institution_ids":["https://openalex.org/I868834043"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5029461555"],"corresponding_institution_ids":["https://openalex.org/I868834043"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09992745,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"108","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.6654999852180481,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.6654999852180481,"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":0.7541568875312805},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6344705820083618},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6077743172645569},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.5442206859588623},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5338669419288635},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49430084228515625},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4263911247253418},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3739280700683594},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.09604540467262268}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541568875312805},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6344705820083618},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6077743172645569},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.5442206859588623},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5338669419288635},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49430084228515625},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4263911247253418},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3739280700683594},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09604540467262268},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cits61189.2024.10608024","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cits61189.2024.10608024","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Computer, Information and Telecommunication Systems (CITS)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/950e5f9a-c662-44ac-9a09-f7e29ac78b8b","is_oa":true,"landing_page_url":"https://research-portal.uws.ac.uk/en/publications/950e5f9a-c662-44ac-9a09-f7e29ac78b8b","pdf_url":"https://myresearchspace.uws.ac.uk/ws/files/50507729/2024_06_03_Troy_et_al_ATN_accepted_-_for_Pure.pdf","source":{"id":"https://openalex.org/S4306402572","display_name":"The UWS Academic Portal (University of the West of Scotland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I868834043","host_organization_name":"University of the West of Scotland","host_organization_lineage":["https://openalex.org/I868834043"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Troy, C, Wang, Q & Alcaraz-Calero, J M 2024, A novel weight-driven ATN-based SQL sentence generator to accommodate AI-based reinforcement learning. in 2024 International Conference on Computer, Information, and Telecommunication Systems (CITS 2024) : July 17-19, Girona, Spain. IEEE, The 2024 International Conference on Computer, Information and Telecommunication Systems, Girona, Spain, 17/07/24. https://doi.org/10.1109/CITS61189.2024.10608024","raw_type":"contributionToPeriodical"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:publications/950e5f9a-c662-44ac-9a09-f7e29ac78b8b","is_oa":true,"landing_page_url":"https://research-portal.uws.ac.uk/en/publications/950e5f9a-c662-44ac-9a09-f7e29ac78b8b","pdf_url":"https://myresearchspace.uws.ac.uk/ws/files/50507729/2024_06_03_Troy_et_al_ATN_accepted_-_for_Pure.pdf","source":{"id":"https://openalex.org/S4306402572","display_name":"The UWS Academic Portal (University of the West of Scotland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I868834043","host_organization_name":"University of the West of Scotland","host_organization_lineage":["https://openalex.org/I868834043"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Troy, C, Wang, Q & Alcaraz-Calero, J M 2024, A novel weight-driven ATN-based SQL sentence generator to accommodate AI-based reinforcement learning. in 2024 International Conference on Computer, Information, and Telecommunication Systems (CITS 2024) : July 17-19, Girona, Spain. IEEE, The 2024 International Conference on Computer, Information and Telecommunication Systems, Girona, Spain, 17/07/24. https://doi.org/10.1109/CITS61189.2024.10608024","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4345562410","display_name":null,"funder_award_id":"HORIZON-JU-SNS-2022-STREAM-B-01-04/101095933","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320174","display_name":"Carnegie Trust for the Universities of Scotland","ror":"https://ror.org/00dfrzy25"},{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401110316.pdf"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2091232155","https://openalex.org/W2100309427","https://openalex.org/W2598043874","https://openalex.org/W2913353391","https://openalex.org/W2982254759","https://openalex.org/W4292779060","https://openalex.org/W4312912966","https://openalex.org/W4391094351","https://openalex.org/W6704416906","https://openalex.org/W6758444822"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W2024136090","https://openalex.org/W2586732548","https://openalex.org/W3049728571","https://openalex.org/W2964765435","https://openalex.org/W4391331176"],"abstract_inverted_index":{"This":[0,164,178],"paper":[1],"presents":[2],"a":[3,11,15,46,112,129],"novel":[4],"approach":[5],"for":[6,29,74,121,169,181],"generating":[7],"SQL":[8,30,131],"queries":[9],"through":[10,161,195],"weight-driven":[12,175],"framework":[13,225],"using":[14,128,226],"modified":[16],"ATN":[17,27,52,176],"of":[18,136,214,223],"ANTLR4's":[19,87],"runtime":[20],"components.":[21],"Our":[22,83],"objective":[23],"is":[24,159],"to":[25,36,51,64,90,100,217],"enhance":[26,219],"capabilities":[28,222],"generation":[31],"by":[32,115],"incorporating":[33],"the":[34,134,145,156,167,211,220],"functionality":[35],"accommodate":[37],"adaptive":[38],"learning":[39,172],"solutions.":[40],"We":[41,97,139],"successfully":[42],"designed":[43],"and":[44,80,94,107,124,151],"implemented":[45],"system":[47,113],"that":[48,141,152,189],"assigns":[49],"weights":[50,71,142],"transitions,":[53],"including":[54],"token":[55],"weight":[56,92,102,122],"assignment":[57],"when":[58],"presented":[59],"with":[60,173],"multiple":[61],"valid":[62],"tokens":[63],"choose":[65],"from":[66],"whilst":[67],"traversing":[68],"set-transitions.":[69],"These":[70],"have":[72],"interfaces":[73],"dynamic":[75],"adjustments":[76],"based":[77],"on":[78,205],"heuristics":[79,99],"user-defined":[81],"strategies.":[82],"methodology":[84],"involves":[85],"modifying":[86],"core":[88],"components":[89],"include":[91],"management":[93],"traversal":[95],"algorithms.":[96],"leverage":[98],"guide":[101],"adjustments,":[103],"addressing":[104],"loop":[105],"structures":[106],"recursive":[108],"depth":[109],"control":[110],"in":[111,185],"controlled":[114],"weights.":[116],"Additionally,":[117],"we":[118],"establish":[119],"mechanisms":[120],"persistence":[123],"optimization.":[125],"Experimental":[126],"evaluation":[127],"simplistic":[130],"grammar":[132],"demonstrates":[133],"effectiveness":[135],"our":[137,174,200,215,224],"approach.":[138],"observe":[140],"can":[143],"steer":[144],"parsing":[146],"process":[147],"towards":[148],"desired":[149],"outcomes,":[150],"convergence":[153],"occurs":[154],"as":[155],"exploration-exploitation":[157],"balance":[158],"optimized":[160],"parameter":[162],"tuning.":[163],"research":[165,216],"lays":[166],"groundwork":[168],"integrating":[170],"re-inforcement":[171],"system.":[177],"holds":[179],"promise":[180],"tackling":[182],"complex":[183],"challenges":[184],"structured":[186],"data":[187],"analysis":[188],"might":[190],"not":[191],"be":[192],"readily":[193],"apparent":[194],"human":[196],"inspection":[197],"alone.":[198],"While":[199],"current":[201],"work":[202],"primarily":[203],"focuses":[204],"heuristics,":[206],"future":[207],"efforts":[208],"will":[209],"explore":[210],"next":[212],"stage":[213],"further":[218],"decision-making":[221],"reinforcement":[227],"learning,":[228]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
