{"id":"https://openalex.org/W3045931918","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148267","title":"Application of Keyword Dynamic Query Software in Relational Database based on Big Data","display_name":"Application of Keyword Dynamic Query Software in Relational Database based on Big Data","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3045931918","doi":"https://doi.org/10.1109/iwcmc48107.2020.9148267","mag":"3045931918"},"language":"en","primary_location":{"id":"doi:10.1109/iwcmc48107.2020.9148267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","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/A5088181686","display_name":"Yandong Yu","orcid":"https://orcid.org/0000-0002-3853-7896"},"institutions":[{"id":"https://openalex.org/I4210093349","display_name":"Jining Normal University","ror":"https://ror.org/00he9fz79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210093349"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yandong Yu","raw_affiliation_strings":["Department of Computer, Institute of Software, Key Laboratory of Internet of Things at School Level, Jining Normal University, Ulanqab, Inner Mongolia, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer, Institute of Software, Key Laboratory of Internet of Things at School Level, Jining Normal University, Ulanqab, Inner Mongolia, China","institution_ids":["https://openalex.org/I4210093349","https://openalex.org/I4210128818"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108748176","display_name":"Yuge Yao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I4210093349","display_name":"Jining Normal University","ror":"https://ror.org/00he9fz79","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210093349"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuge Yao","raw_affiliation_strings":["Department of Computer, Institute of Software, Key Laboratory of Internet of Things at School Level, Jining Normal University, Ulanqab, Inner Mongolia, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer, Institute of Software, Key Laboratory of Internet of Things at School Level, Jining Normal University, Ulanqab, Inner Mongolia, China","institution_ids":["https://openalex.org/I4210093349","https://openalex.org/I4210128818"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5088181686"],"corresponding_institution_ids":["https://openalex.org/I4210093349","https://openalex.org/I4210128818"],"apc_list":null,"apc_paid":null,"fwci":0.1954,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.48993413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":"51","issue":null,"first_page":"1370","last_page":"1375"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9394000172615051,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9293000102043152,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8885174989700317},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.7623732089996338},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.6569302082061768},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.638484001159668},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.6307820081710815},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.6138678789138794},{"id":"https://openalex.org/keywords/view","display_name":"View","score":0.5856228470802307},{"id":"https://openalex.org/keywords/query-by-example","display_name":"Query by Example","score":0.5348547697067261},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.5310345888137817},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4430379271507263},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4362441599369049},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.43041715025901794},{"id":"https://openalex.org/keywords/keyword-density","display_name":"Keyword density","score":0.42557981610298157},{"id":"https://openalex.org/keywords/relational-database","display_name":"Relational database","score":0.4111385941505432},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3740660846233368},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.35304540395736694},{"id":"https://openalex.org/keywords/keyword-search","display_name":"Keyword search","score":0.2735300660133362},{"id":"https://openalex.org/keywords/database-design","display_name":"Database design","score":0.24988943338394165},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.18020936846733093},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.16520726680755615}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8885174989700317},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.7623732089996338},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.6569302082061768},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.638484001159668},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.6307820081710815},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.6138678789138794},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.5856228470802307},{"id":"https://openalex.org/C194222762","wikidata":"https://www.wikidata.org/wiki/Q114486","display_name":"Query by Example","level":4,"score":0.5348547697067261},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.5310345888137817},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4430379271507263},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4362441599369049},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.43041715025901794},{"id":"https://openalex.org/C57560718","wikidata":"https://www.wikidata.org/wiki/Q125627","display_name":"Keyword density","level":3,"score":0.42557981610298157},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.4111385941505432},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3740660846233368},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.35304540395736694},{"id":"https://openalex.org/C2988412617","wikidata":"https://www.wikidata.org/wiki/Q7441656","display_name":"Keyword search","level":2,"score":0.2735300660133362},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.24988943338394165},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.18020936846733093},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.16520726680755615}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iwcmc48107.2020.9148267","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iwcmc48107.2020.9148267","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Wireless Communications and Mobile Computing (IWCMC)","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":16,"referenced_works":["https://openalex.org/W1605544948","https://openalex.org/W1901446907","https://openalex.org/W1966426226","https://openalex.org/W2018583878","https://openalex.org/W2033356616","https://openalex.org/W2041650550","https://openalex.org/W2053135018","https://openalex.org/W2081354453","https://openalex.org/W2092411125","https://openalex.org/W2108154570","https://openalex.org/W2173213060","https://openalex.org/W2248504182","https://openalex.org/W2333594300","https://openalex.org/W2373175589","https://openalex.org/W2393063176","https://openalex.org/W4254305400"],"related_works":["https://openalex.org/W1992658322","https://openalex.org/W2942502373","https://openalex.org/W644450836","https://openalex.org/W2374912898","https://openalex.org/W3103741606","https://openalex.org/W2554271401","https://openalex.org/W2150741898","https://openalex.org/W2186703450","https://openalex.org/W2970853428","https://openalex.org/W2034583622"],"abstract_inverted_index":{"In":[0,40],"order":[1,41],"to":[2,42,64,126],"improve":[3,43,169],"the":[4,35,44,48,57,66,75,87,91,94,98,101,110,115,119,127,131,135,138,142,165,170,175,180,184,191,197],"precision":[5,171],"and":[6,29,34,78,85,105,114,134,141,158,172,183,190,194],"recall":[7,173],"of":[8,51,59,71,90,109,118,174,187,196],"keywords":[9,67,92,111],"dynamic":[10,16,68,121,176],"query":[11,18,36,45,55,69,122,139,145,155,178,199],"in":[12,20,54,93,137,179],"relational":[13,21,95,181],"database,":[14,182],"a":[15],"keyword":[17,76,120,136,177],"algorithm":[19],"database":[22,143,198],"based":[23],"on":[24],"association":[25],"characteristics":[26,89],"data":[27,116],"mining":[28],"semantic":[30,99],"retrieval":[31],"is":[32,38,62,123,146,188],"proposed,":[33],"software":[37,156],"designed.":[39],"efficiency,":[46],"reduce":[47],"time":[49],"overhead":[50],"graph":[52,117],"traverse":[53],"process,":[56],"method":[58,167],"path":[60,107],"index":[61],"used":[63,153],"establish":[65],"model":[70],"reverse":[72],"search":[73,80],"from":[74,81],"node":[77],"forward":[79],"potential":[82],"root":[83],"node,":[84],"extract":[86],"related":[88],"database.":[96],"Through":[97],"retrieval,":[100],"words,":[102],"nodes,":[103],"weights":[104],"Voronoi":[106],"information":[108],"are":[112,152,200],"extracted,":[113],"constructed":[124],"according":[125],"matching":[128,185],"degree":[129],"between":[130],"text":[132],"content":[133],"result,":[140],"optimization":[144],"realized.":[147],"Standard":[148],"Linux":[149],"development":[150,157],"tools":[151],"for":[154],"design.":[159],"The":[160],"simulation":[161],"results":[162],"show":[163],"that":[164],"proposed":[166],"can":[168],"performance":[186,193],"better":[189],"real-time":[192],"accuracy":[195],"enhanced.":[201]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}