{"id":"https://openalex.org/W4391769309","doi":"https://doi.org/10.1109/icceic60201.2023.10426699","title":"A Lightweight JSON Storage Method Based on Adjacency Linked Lists","display_name":"A Lightweight JSON Storage Method Based on Adjacency Linked Lists","publication_year":2023,"publication_date":"2023-10-20","ids":{"openalex":"https://openalex.org/W4391769309","doi":"https://doi.org/10.1109/icceic60201.2023.10426699"},"language":"en","primary_location":{"id":"doi:10.1109/icceic60201.2023.10426699","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icceic60201.2023.10426699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Computer Engineering and Intelligent Control (ICCEIC)","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/A5054398584","display_name":"Teng Lv","orcid":"https://orcid.org/0000-0003-1862-5802"},"institutions":[{"id":"https://openalex.org/I4210156464","display_name":"Anhui Xinhua University","ror":"https://ror.org/053d7x641","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210156464"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Teng Lv","raw_affiliation_strings":["Anhui Xinhua University,School of Big Data and Artificial Intelligence,Hefei,P. R. China,230088"],"affiliations":[{"raw_affiliation_string":"Anhui Xinhua University,School of Big Data and Artificial Intelligence,Hefei,P. R. China,230088","institution_ids":["https://openalex.org/I4210156464"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006443215","display_name":"Ping Yan","orcid":"https://orcid.org/0000-0001-5411-5020"},"institutions":[{"id":"https://openalex.org/I140221134","display_name":"Anhui Agricultural University","ror":"https://ror.org/0327f3359","country_code":"CN","type":"education","lineage":["https://openalex.org/I140221134"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Yan","raw_affiliation_strings":["Anhui Agricultural University,School of Science,Hefei,P. R. China,230036"],"affiliations":[{"raw_affiliation_string":"Anhui Agricultural University,School of Science,Hefei,P. R. China,230036","institution_ids":["https://openalex.org/I140221134"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054398584"],"corresponding_institution_ids":["https://openalex.org/I4210156464"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24007048,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"428","last_page":"432"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9980000257492065,"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/T11106","display_name":"Data Management and Algorithms","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/json","display_name":"JSON","score":0.9955980777740479},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7117859125137329},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.5198474526405334},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5025069713592529},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2379899024963379}],"concepts":[{"id":"https://openalex.org/C2780416260","wikidata":"https://www.wikidata.org/wiki/Q2063","display_name":"JSON","level":2,"score":0.9955980777740479},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7117859125137329},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.5198474526405334},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5025069713592529},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2379899024963379}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icceic60201.2023.10426699","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icceic60201.2023.10426699","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 4th International Conference on Computer Engineering and Intelligent Control (ICCEIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330944","display_name":"Nature","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2011716962","https://openalex.org/W2162098589","https://openalex.org/W2181714304","https://openalex.org/W2582413748","https://openalex.org/W4206699618","https://openalex.org/W6634305796"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2753132265","https://openalex.org/W4234766820","https://openalex.org/W4321232174","https://openalex.org/W3117520771","https://openalex.org/W2482048793","https://openalex.org/W4388027365","https://openalex.org/W2938860153"],"abstract_inverted_index":{"JSON":[0,29,46,64,76,84,101,124,134,152,161,178,190,205,219],"(JavaScript":[1],"Object":[2],"Notation)":[3],"is":[4,40,192,227],"a":[5,37,107,157,181],"popular":[6],"data":[7,31,47,85,95,125,135,146,162,171,191,206],"transformation":[8],"and":[9,34,44,62,74,140,150,173,199,221],"exchange":[10],"standard":[11],"for":[12],"various":[13],"different":[14,116],"APIs":[15],"(Application":[16],"Program":[17],"Interfaces)":[18],"over":[19],"the":[20,25,55,79,90,103,113,127,130,141,170,176,196,200,210,214,222,225,230],"World":[21],"Wide":[22],"Web.":[23],"With":[24],"increasing":[26],"popularity":[27],"of":[28,57,97,115,160,175,204,218,224],"format":[30,65,77,86],"in":[32,87,136,194,213,229],"more":[33,35],"applications,":[36],"natural":[38],"problem":[39],"how":[41],"to":[42,60,72,99,120,148,188],"store":[43,61,73,100,149,189],"process":[45,63,75,151],"efficiently.":[48],"In":[49],"this":[50],"paper,":[51],"we":[52,155],"first":[53,80],"survey":[54],"state":[56],"art":[58],"methods":[59],"data.":[66,153,179],"There":[67],"are":[68,207],"mainly":[69],"five":[70],"ways":[71],"data:":[78],"way":[81,92,105,132,143],"uses":[82,93,106,144],"raw":[83],"database":[88,117,138],"systems,":[89,139],"second":[91],"native":[94],"type":[96],"databases":[98],"data,":[102,220],"third":[104],"mapping":[108],"or":[109,122],"wrapper":[110],"layer":[111],"on":[112,164,184],"top":[114],"management":[118],"systems":[119],"map":[121],"wrap":[123],"into":[126],"underlying":[128,177],"databases,":[129],"fourth":[131],"integrates":[133],"commercial":[137],"fifth":[142],"specific":[145],"structures":[147,172],"Then,":[154],"give":[156],"formal":[158],"description":[159],"based":[163,183],"tree":[165],"model":[166],"which":[167,195],"can":[168],"describe":[169],"semantics":[174],"Finally,":[180],"method":[182,226],"adjacency":[185,215],"linked":[186,211,216],"lists":[187,212,217],"proposed,":[193],"{key:":[197],"value}pairs,":[198],"relationships":[201],"between":[202],"keys":[203],"preserved":[208],"by":[209],"complexity":[223],"analyzed":[228],"paper.":[231]},"counts_by_year":[],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
