{"id":"https://openalex.org/W2033523472","doi":"https://doi.org/10.1145/2723372.2723732","title":"SQLGraph","display_name":"SQLGraph","publication_year":2015,"publication_date":"2015-05-27","ids":{"openalex":"https://openalex.org/W2033523472","doi":"https://doi.org/10.1145/2723372.2723732","mag":"2033523472"},"language":"en","primary_location":{"id":"doi:10.1145/2723372.2723732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2723372.2723732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data","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/A5052118000","display_name":"Wen Sun","orcid":"https://orcid.org/0000-0002-7268-2085"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Sun","raw_affiliation_strings":["IBM Research - China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IBM Research - China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062643837","display_name":"Achille Fokoue","orcid":"https://orcid.org/0000-0003-1137-1344"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Achille Fokoue","raw_affiliation_strings":["IBM Watson Research Center, New York, USA"],"affiliations":[{"raw_affiliation_string":"IBM Watson Research Center, New York, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085594669","display_name":"Kavitha Srinivas","orcid":"https://orcid.org/0000-0003-4610-967X"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kavitha Srinivas","raw_affiliation_strings":["IBM Watson Research Center, New York, USA"],"affiliations":[{"raw_affiliation_string":"IBM Watson Research Center, New York, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014087838","display_name":"Anastasios Kementsietsidis","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anastasios Kementsietsidis","raw_affiliation_strings":["Google Inc., Mountain View, USA","Google Inc. , Mountain View, USA"],"affiliations":[{"raw_affiliation_string":"Google Inc., Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Inc. , Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102021870","display_name":"Gang Hu","orcid":"https://orcid.org/0000-0002-3085-1135"},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Hu","raw_affiliation_strings":["IBM Research - China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IBM Research - China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023775139","display_name":"Guotong Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126794","display_name":"IBM Research (China)","ror":"https://ror.org/02yg1pf55","country_code":"CN","type":"company","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210126794"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guotong Xie","raw_affiliation_strings":["IBM Research - China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"IBM Research - China, Beijing, China","institution_ids":["https://openalex.org/I4210126794"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5052118000"],"corresponding_institution_ids":["https://openalex.org/I4210126794"],"apc_list":null,"apc_paid":null,"fwci":8.3206,"has_fulltext":false,"cited_by_count":87,"citation_normalized_percentile":{"value":0.97795698,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1887","last_page":"1901"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9990000128746033,"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":0.9990000128746033,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9976000189781189,"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/T11719","display_name":"Data Quality and Management","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision 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":0.8409212827682495},{"id":"https://openalex.org/keywords/nosql","display_name":"NoSQL","score":0.5923928022384644},{"id":"https://openalex.org/keywords/json","display_name":"JSON","score":0.591365396976471},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.49812841415405273},{"id":"https://openalex.org/keywords/graph-database","display_name":"Graph database","score":0.4696440100669861},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46899011731147766},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.45107948780059814},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3894939422607422},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.37431663274765015},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3156402111053467},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.19862493872642517}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8409212827682495},{"id":"https://openalex.org/C2779599972","wikidata":"https://www.wikidata.org/wiki/Q82231","display_name":"NoSQL","level":3,"score":0.5923928022384644},{"id":"https://openalex.org/C2780416260","wikidata":"https://www.wikidata.org/wiki/Q2063","display_name":"JSON","level":2,"score":0.591365396976471},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.49812841415405273},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.4696440100669861},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46899011731147766},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.45107948780059814},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3894939422607422},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.37431663274765015},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3156402111053467},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.19862493872642517}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2723372.2723732","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2723372.2723732","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data","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":37,"referenced_works":["https://openalex.org/W29172951","https://openalex.org/W139336485","https://openalex.org/W1485390280","https://openalex.org/W1549064707","https://openalex.org/W1557692423","https://openalex.org/W1823076153","https://openalex.org/W1847745151","https://openalex.org/W1966767672","https://openalex.org/W1968140791","https://openalex.org/W1972156661","https://openalex.org/W1989009626","https://openalex.org/W2003603054","https://openalex.org/W2014575573","https://openalex.org/W2028716971","https://openalex.org/W2033971127","https://openalex.org/W2036380454","https://openalex.org/W2050516909","https://openalex.org/W2057995409","https://openalex.org/W2061253631","https://openalex.org/W2089247435","https://openalex.org/W2090330503","https://openalex.org/W2092899897","https://openalex.org/W2093522839","https://openalex.org/W2101874743","https://openalex.org/W2113582899","https://openalex.org/W2122466138","https://openalex.org/W2126717690","https://openalex.org/W2129908242","https://openalex.org/W2132612426","https://openalex.org/W2140613126","https://openalex.org/W2147344977","https://openalex.org/W2155273278","https://openalex.org/W2170069186","https://openalex.org/W2293919922","https://openalex.org/W2371391249","https://openalex.org/W6601147126","https://openalex.org/W6708641838"],"related_works":["https://openalex.org/W3027072330","https://openalex.org/W3127890688","https://openalex.org/W2904616523","https://openalex.org/W2535413785","https://openalex.org/W4385834214","https://openalex.org/W2229948894","https://openalex.org/W2621972978","https://openalex.org/W3129344858","https://openalex.org/W3001928035","https://openalex.org/W2791661407"],"abstract_inverted_index":{"We":[0,45,85,106],"show":[1,107],"that":[2,47,78,108],"existing":[3,101,131],"mature,":[4],"relational":[5,32,58,82],"optimizers":[6],"can":[7,80],"be":[8],"exploited":[9],"with":[10,37,70,99],"a":[11,56],"novel":[12],"schema":[13,30,50,93],"to":[14,55,130],"give":[15],"better":[16,114,121],"performance":[17],"for":[18,34,40],"property":[19,103],"graph":[20,27,104],"storage":[21,33,39],"and":[22,42,95,118],"retrieval":[23],"than":[24],"popular":[25,102],"noSQL":[26],"stores.":[28,105,132],"The":[29,63],"combines":[31],"adjacency":[35],"information":[36],"JSON":[38,61],"vertex":[41],"edge":[43,127],"attributes.":[44],"demonstrate":[46],"this":[48],"particular":[49],"design":[51,94],"has":[52],"benefits":[53],"compared":[54,129],"purely":[57,60],"or":[59],"solution.":[62],"query":[64,83,96,116],"translation":[65,97],"mechanism":[66,98],"translates":[67],"Gremlin":[68],"queries":[69,76],"no":[71],"side":[72],"effects":[73],"into":[74],"SQL":[75],"so":[77],"one":[79],"leverage":[81],"optimizers.":[84],"also":[86],"conduct":[87],"an":[88],"empirical":[89],"evaluation":[90],"of":[91],"our":[92,109],"two":[100],"system":[110],"is":[111],"2-8":[112],"times":[113,120],"on":[115,124],"performance,":[117],"10-30":[119],"in":[122],"throughput":[123],"4.3":[125],"billion":[126],"graphs":[128]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":8},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
