{"id":"https://openalex.org/W4396954675","doi":"https://doi.org/10.1080/08839514.2024.2348162","title":"Event Assignment Based on KBQA for Government Service Hotlines","display_name":"Event Assignment Based on KBQA for Government Service Hotlines","publication_year":2024,"publication_date":"2024-05-16","ids":{"openalex":"https://openalex.org/W4396954675","doi":"https://doi.org/10.1080/08839514.2024.2348162"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2024.2348162","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2348162","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2348162?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2348162?download=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006897113","display_name":"Y. Wang","orcid":"https://orcid.org/0000-0002-6164-5713"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongzhang Wang","raw_affiliation_strings":["School of Data Science, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085254654","display_name":"Defu Lian","orcid":"https://orcid.org/0000-0002-3507-9607"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Defu Lian","raw_affiliation_strings":["School of Data Science, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["School of Data Science, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Data Science, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048237545"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":{"value":2195,"currency":"USD","value_usd":2195},"fwci":1.0632,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79785948,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"38","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9965999722480774,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9965999722480774,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9962999820709229,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.822907567024231},{"id":"https://openalex.org/keywords/hotline","display_name":"Hotline","score":0.7912704944610596},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.5860363841056824},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5548191070556641},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5369299650192261},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3618806004524231},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.25934338569641113}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.822907567024231},{"id":"https://openalex.org/C141668000","wikidata":"https://www.wikidata.org/wiki/Q10991973","display_name":"Hotline","level":2,"score":0.7912704944610596},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.5860363841056824},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5548191070556641},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5369299650192261},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3618806004524231},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.25934338569641113},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2024.2348162","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2348162","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2348162?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:1bf4e2ba479c4c30886486afb010917e","is_oa":true,"landing_page_url":"https://doaj.org/article/1bf4e2ba479c4c30886486afb010917e","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 38, Iss 1 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1080/08839514.2024.2348162","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2024.2348162","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2024.2348162?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320335774","display_name":"Key Technologies Research and Development Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4396954675.pdf","grobid_xml":"https://content.openalex.org/works/W4396954675.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W2250999640","https://openalex.org/W2295598076","https://openalex.org/W2470673105","https://openalex.org/W2475245295","https://openalex.org/W2483327705","https://openalex.org/W2489487449","https://openalex.org/W2508865106","https://openalex.org/W2608239929","https://openalex.org/W2741609678","https://openalex.org/W2759136286","https://openalex.org/W2889276770","https://openalex.org/W2891420675","https://openalex.org/W2891553865","https://openalex.org/W2912172494","https://openalex.org/W2930957955","https://openalex.org/W2952437275","https://openalex.org/W2971104547","https://openalex.org/W2972551450","https://openalex.org/W2978223337","https://openalex.org/W2980737818","https://openalex.org/W2997937415","https://openalex.org/W3037979089","https://openalex.org/W3174870841","https://openalex.org/W3186545525","https://openalex.org/W3190271517","https://openalex.org/W3199258975","https://openalex.org/W3203279312","https://openalex.org/W4205171160","https://openalex.org/W4214854098","https://openalex.org/W4226470037","https://openalex.org/W4280636077","https://openalex.org/W4286696412","https://openalex.org/W4287887264","https://openalex.org/W4301113013","https://openalex.org/W4306399641","https://openalex.org/W4312462114","https://openalex.org/W4365600875","https://openalex.org/W4385574050","https://openalex.org/W4387849038","https://openalex.org/W4389627669","https://openalex.org/W4391529013"],"related_works":["https://openalex.org/W2356445427","https://openalex.org/W2076050954","https://openalex.org/W19500038","https://openalex.org/W2562096560","https://openalex.org/W2167128276","https://openalex.org/W2466908982","https://openalex.org/W2024365557","https://openalex.org/W4299669120","https://openalex.org/W2090683432","https://openalex.org/W4388370677"],"abstract_inverted_index":{"Government":[0],"service":[1],"hotlines":[2],"are":[3],"closely":[4],"related":[5],"to":[6,69,99,114,133],"people's":[7,22],"lives,":[8],"and":[9,73,87,110,123],"the":[10,25,29,42,48,88,120,138,141,151,158,168],"hotline":[11,33,58],"events":[12,102],"assignment":[13,35,52,60,75,143],"task":[14],"is":[15,38,97,130,171],"very":[16],"important":[17],"in":[18,47,177],"China,":[19],"which":[20,37],"affects":[21],"satisfaction":[23],"with":[24],"Chinese":[26],"government.To":[27],"address":[28],"challenge":[30],"of":[31,44,91,140,179],"improving":[32],"event":[34,59,79,84,92],"accuracy,":[36],"currently":[39],"hindered":[40],"by":[41,82,94],"lack":[43],"prior":[45,71,117,128],"knowledge":[46,72,103,118,121,129],"traditional":[49],"direct":[50],"departmental":[51],"approach,":[53],"we":[54,105],"introduce":[55],"a":[56],"novel":[57],"model":[61,77,170],"based":[62],"on":[63],"Knowledge":[64,159],"Base":[65],"Question":[66],"Answering":[67],"(KBQA)":[68],"leverage":[70],"enhance":[74],"performance.The":[76],"extracts":[78],"key":[80,89],"information":[81,90],"using":[83],"extraction":[85],"module,":[86],"extracte":[93],"this":[95],"module":[96,109,113],"used":[98,132],"construct":[100],"historical":[101],"graph.Then":[104],"employ":[106],"subgraph":[107],"retrieval":[108,112],"text":[111,125],"obtain":[115],"relevant":[116],"from":[119],"graph":[122],"\"sanding\"":[124],"respectively.The":[126],"integrated":[127],"then":[131],"predict":[134],"department":[135,144],"scores,":[136],"guiding":[137],"selection":[139],"optimal":[142],"through":[145],"ranking.The":[146],"experiment":[147,164],"results":[148],"show":[149],"that":[150,167],"proposed":[152,169],"method":[153],"outperforms":[154],"existing":[155],"baseline":[156,175],"methods.Meanwhile,":[157],"Graph":[160],"(KG)":[161],"edge":[162],"elimination":[163],"also":[165],"shows":[166],"better":[172],"than":[173],"other":[174],"models":[176],"terms":[178],"incomplete":[180],"KG.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}