{"id":"https://openalex.org/W3208179619","doi":"https://doi.org/10.1109/iccse51940.2021.9569342","title":"Research on Knowledge Map Completion with Entity Description Information based on Neural Network","display_name":"Research on Knowledge Map Completion with Entity Description Information based on Neural Network","publication_year":2021,"publication_date":"2021-08-17","ids":{"openalex":"https://openalex.org/W3208179619","doi":"https://doi.org/10.1109/iccse51940.2021.9569342","mag":"3208179619"},"language":"en","primary_location":{"id":"doi:10.1109/iccse51940.2021.9569342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccse51940.2021.9569342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th International Conference on Computer Science & Education (ICCSE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5112785835","display_name":"Guoyan Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoyan Xu","raw_affiliation_strings":["College of Computer and Information, Hohai University, Inner Mongolia, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, Inner Mongolia, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102829213","display_name":"Jie Sun","orcid":"https://orcid.org/0000-0001-5925-5719"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Sun","raw_affiliation_strings":["College of Computer and Information, Hohai University, JiangSu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, JiangSu, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009101271","display_name":"Yuwei Lu","orcid":"https://orcid.org/0000-0003-1020-6259"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuwei Lu","raw_affiliation_strings":["College of Computer and Information, Hohai University, JiangSu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, JiangSu, China","institution_ids":["https://openalex.org/I163340411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101218321","display_name":"Du Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Du Yu","raw_affiliation_strings":["College of Computer and Information, Hohai University, JiangSu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer and Information, Hohai University, JiangSu, China","institution_ids":["https://openalex.org/I163340411"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14516032,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"323","issue":null,"first_page":"210","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9966999888420105,"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":0.9966999888420105,"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":0.9939000010490417,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.983299970626831,"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":0.8179633021354675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5210604071617126},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.5057294368743896},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.48989933729171753},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.47256794571876526},{"id":"https://openalex.org/keywords/knowledge-based-systems","display_name":"Knowledge-based systems","score":0.42552247643470764},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4196532964706421},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.41748693585395813},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41615766286849976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8179633021354675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5210604071617126},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.5057294368743896},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.48989933729171753},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.47256794571876526},{"id":"https://openalex.org/C115925183","wikidata":"https://www.wikidata.org/wiki/Q1412694","display_name":"Knowledge-based systems","level":2,"score":0.42552247643470764},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4196532964706421},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.41748693585395813},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41615766286849976},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccse51940.2021.9569342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccse51940.2021.9569342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th International Conference on Computer Science & Education (ICCSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1924770834","https://openalex.org/W2064675550","https://openalex.org/W2101926813","https://openalex.org/W2147800946","https://openalex.org/W2150355110","https://openalex.org/W2499696929"],"related_works":["https://openalex.org/W1979978247","https://openalex.org/W2120373349","https://openalex.org/W3045387744","https://openalex.org/W1838463810","https://openalex.org/W1951606582","https://openalex.org/W122956498","https://openalex.org/W4237775755","https://openalex.org/W2160911376","https://openalex.org/W2102929690","https://openalex.org/W1580667900"],"abstract_inverted_index":{"Knowledge":[0],"map":[1,45,52,80],"is":[2,19,154,168],"a":[3,110],"large-scale":[4],"semantic":[5,162],"network":[6],"that":[7,88],"represents":[8,55],"knowledge":[9,44,51,76,79],"in":[10,22,43],"the":[11,38,68,73,86,93,100,125,139,146,161],"form":[12],"of":[13,40,49,75,103,118,128,141,150,164],"triples":[14],"(entity,":[15],"relationship,":[16],"entity).":[17],"It":[18],"widely":[20],"used":[21,136],"information":[23,127,153,167],"search,":[24],"question":[25],"answering":[26],"system,":[27],"e-commerce,":[28],"recommendation":[29],"system":[30],"and":[31,57,71,78,132,144,159],"other":[32],"fields.":[33],"In":[34,82],"order":[35,83,149],"to":[36,84,99,137],"alleviate":[37],"problem":[39,87],"data":[41],"sparsity":[42],"with":[46],"large":[47],"amount":[48],"data,":[50],"representation":[53,163],"learning":[54],"entities":[56],"relationships":[58],"as":[59],"low":[60],"dimensional":[61],"real":[62],"valued":[63],"vectors,":[64],"which":[65,97,122],"effectively":[66],"reduces":[67],"computational":[69],"complexity":[70],"improves":[72],"efficiency":[74],"reasoning":[77],"completion.":[81],"solve":[85],"DKRL":[89],"does":[90],"not":[91],"consider":[92],"relationship":[94],"between":[95],"sentences,":[96],"leads":[98],"serious":[101],"loss":[102],"entity":[104,129,142,151,165],"description":[105,152,166],"information,":[106],"this":[107],"paper":[108],"proposes":[109],"new":[111],"model":[112,115],"T-CGRU.":[113],"The":[114],"takes":[116],"advantage":[117],"recurrent":[119],"neural":[120],"network,":[121],"can":[123],"capture":[124],"context":[126,147],"description.":[130],"Convolution":[131],"maximum":[133],"pooling":[134],"are":[135],"obtain":[138],"feature":[140],"description,":[143],"then":[145],"word":[148],"extracted":[155],"by":[156],"cyclic":[157],"operation,":[158],"finally":[160],"obtained.":[169]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}