{"id":"https://openalex.org/W4361790888","doi":"https://doi.org/10.1145/3582197.3582250","title":"A Knowledge Reasoning Model Based on Non-Factoid Information Enhancement","display_name":"A Knowledge Reasoning Model Based on Non-Factoid Information Enhancement","publication_year":2022,"publication_date":"2022-12-23","ids":{"openalex":"https://openalex.org/W4361790888","doi":"https://doi.org/10.1145/3582197.3582250"},"language":"en","primary_location":{"id":"doi:10.1145/3582197.3582250","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582197.3582250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 10th International Conference on Information Technology: IoT and Smart City","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/A5011964979","display_name":"Sa Xu","orcid":"https://orcid.org/0000-0003-1685-5129"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Sa Xu","raw_affiliation_strings":["State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5011964979"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16975012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"318","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9973000288009644,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9962000250816345,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7115534543991089},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.6192925572395325},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5395729541778564},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5105618238449097},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3672645092010498}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7115534543991089},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.6192925572395325},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5395729541778564},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5105618238449097},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3672645092010498}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3582197.3582250","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3582197.3582250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 10th International Conference on Information Technology: IoT and Smart City","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":5,"referenced_works":["https://openalex.org/W2604314403","https://openalex.org/W2728059831","https://openalex.org/W2969298437","https://openalex.org/W3152740956","https://openalex.org/W4288269198"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2384605597","https://openalex.org/W2387743295","https://openalex.org/W2115758952","https://openalex.org/W3082787378","https://openalex.org/W2136007095","https://openalex.org/W2366230879","https://openalex.org/W3208425359","https://openalex.org/W2081900870"],"abstract_inverted_index":{"Q&A":[0,25],"system":[1],"plays":[2],"an":[3],"increasingly":[4],"important":[5],"role":[6],"in":[7,49,92],"the":[8,20,62,71,77,97,104,114,151],"modern":[9],"society":[10],"with":[11],"information":[12,36,75,89,101],"explosion,":[13],"and":[14,39,53,103,120,142,148],"knowledge":[15,28,40,83],"reasoning":[16,29,54,84],"model":[17,85],"(KRM)":[18],"is":[19,45],"main":[21],"research":[22],"content":[23],"of":[24,51,73,129],"system.":[26],"Existing":[27],"models":[30],"are":[31,154],"mainly":[32],"divided":[33],"into":[34],"text-based":[35],"retrieval":[37],"(IR)":[38],"graph":[41],"embedding":[42,107],"(KGE).":[43],"KGE":[44,98],"superior":[46],"to":[47,64,116,131],"IR":[48],"terms":[50],"storage":[52],"capabilities":[55],"for":[56],"massive":[57],"factoid":[58,119],"information,":[59,67],"but":[60],"lacks":[61],"ability":[63,115],"reason":[65],"non-factoid":[66,88,121],"merely":[68],"focus":[69],"on":[70,87,139,150],"mining":[72],"structural":[74],"without":[76],"semantic":[78,100,106],"information.":[79],"We":[80,123],"proposed":[81],"a":[82,126,136],"based":[86],"enhancement":[90],"(NFE-KRM)":[91],"scenic":[93],"Q&A.":[94],"It":[95],"realizes":[96],"integrates":[99],"(SIKGE)":[102],"unified":[105],"space":[108],"(USES),":[109],"so":[110],"that":[111,133],"NFE-KRM":[112],"has":[113],"answer":[117],"both":[118,155],"questions.":[122],"have":[124],"used":[125],"large":[127],"number":[128],"experiments":[130],"prove":[132],"SIKGE":[134],"gets":[135],"better":[137],"performance":[138],"Mean":[140],"Rank":[141],"[email":[143],"protected]":[144],"NFE-KRM's":[145],"F1":[146],"score":[147],"accuracy":[149],"mixed":[152],"dataset":[153],"competitive.":[156]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}