{"id":"https://openalex.org/W1982177147","doi":"https://doi.org/10.14778/2002974.2002976","title":"gStore","display_name":"gStore","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W1982177147","doi":"https://doi.org/10.14778/2002974.2002976","mag":"1982177147"},"language":"en","primary_location":{"id":"doi:10.14778/2002974.2002976","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2002974.2002976","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-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/A5033785339","display_name":"Lei Zou","orcid":"https://orcid.org/0000-0002-8586-4400"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Zou","raw_affiliation_strings":["Peking University, China"],"affiliations":[{"raw_affiliation_string":"Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068584688","display_name":"Jinghui Mo","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinghui Mo","raw_affiliation_strings":["Peking University, China"],"affiliations":[{"raw_affiliation_string":"Peking University, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100333516","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-8257-5806"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Hong Kong University of Science and Technology, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014972038","display_name":"M. TAMER \u00d6ZSU","orcid":"https://orcid.org/0000-0002-8126-1717"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"M. Tamer \u00d6zsu","raw_affiliation_strings":["University of Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037132097","display_name":"Dongyan Zhao","orcid":"https://orcid.org/0000-0002-0396-6703"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongyan Zhao","raw_affiliation_strings":["Peking University, China and Key Laboratory of Computational Linguistics (PKU), Ministry of Education, China","Peking University, China and Key Laboratory of Computational Linguistics (PKU), Ministry of Education, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Peking University, China and Key Laboratory of Computational Linguistics (PKU), Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Peking University, China and Key Laboratory of Computational Linguistics (PKU), Ministry of Education, China#TAB#","institution_ids":["https://openalex.org/I1327237609"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033785339"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":24.1181,"has_fulltext":false,"cited_by_count":263,"citation_normalized_percentile":{"value":0.99557115,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"4","issue":"8","first_page":"482","last_page":"493"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9993000030517578,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9993000030517578,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9947999715805054,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.9802393913269043},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.8474706411361694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8284314870834351},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5960485935211182},{"id":"https://openalex.org/keywords/named-graph","display_name":"Named graph","score":0.5655914545059204},{"id":"https://openalex.org/keywords/rdf-schema","display_name":"RDF Schema","score":0.5630063414573669},{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.5442178845405579},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.5434210300445557},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.526564359664917},{"id":"https://openalex.org/keywords/rdf/xml","display_name":"RDF/XML","score":0.44736433029174805},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.411528617143631},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2841273546218872},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.28274959325790405},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.26214712858200073},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.18671047687530518},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.1335386037826538}],"concepts":[{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.9802393913269043},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.8474706411361694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8284314870834351},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5960485935211182},{"id":"https://openalex.org/C110893760","wikidata":"https://www.wikidata.org/wiki/Q3115590","display_name":"Named graph","level":5,"score":0.5655914545059204},{"id":"https://openalex.org/C15657843","wikidata":"https://www.wikidata.org/wiki/Q1751819","display_name":"RDF Schema","level":5,"score":0.5630063414573669},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.5442178845405579},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.5434210300445557},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.526564359664917},{"id":"https://openalex.org/C78923513","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"RDF/XML","level":5,"score":0.44736433029174805},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.411528617143631},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2841273546218872},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.28274959325790405},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.26214712858200073},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.18671047687530518},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.1335386037826538},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/2002974.2002976","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2002974.2002976","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-71588","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-71588","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W29172951","https://openalex.org/W47292847","https://openalex.org/W1812636409","https://openalex.org/W1937427849","https://openalex.org/W1981663733","https://openalex.org/W1982535373","https://openalex.org/W1993786250","https://openalex.org/W2000656232","https://openalex.org/W2013497015","https://openalex.org/W2022166150","https://openalex.org/W2050137450","https://openalex.org/W2089247435","https://openalex.org/W2110034858","https://openalex.org/W2112132204","https://openalex.org/W2116544254","https://openalex.org/W2119587442","https://openalex.org/W2131785201","https://openalex.org/W2132612426","https://openalex.org/W2135577024","https://openalex.org/W2137152505","https://openalex.org/W2140613126","https://openalex.org/W2147344977","https://openalex.org/W2153225416","https://openalex.org/W2157328170","https://openalex.org/W2163423487","https://openalex.org/W3145128584","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2416869599","https://openalex.org/W2363838908","https://openalex.org/W2092512344","https://openalex.org/W2612001157","https://openalex.org/W2091301598","https://openalex.org/W3150241097","https://openalex.org/W3083425935","https://openalex.org/W3033347047","https://openalex.org/W1534084317","https://openalex.org/W2079781157"],"abstract_inverted_index":{"Due":[0],"to":[1,56,70,112,154],"the":[2,58,164],"increasing":[3],"use":[4],"of":[5,10,53,168],"RDF":[6,14,48,74,79,92,159],"data,":[7],"efficient":[8,129],"processing":[9],"SPARQL":[11,32,99,137],"queries":[12,33,138,140],"over":[13,158],"datasets":[15],"has":[16],"become":[17],"an":[18,150],"important":[19],"issue.":[20],"However,":[21],"existing":[22,87],"solutions":[23],"suffer":[24],"from":[25,60],"two":[26],"limitations:":[27],"1)":[28],"they":[29,42],"cannot":[30,43],"answer":[31,135],"with":[34,123,141],"wildcards":[35,142],"in":[36,47,143],"a":[37,67,82,95,105,119,144],"scalable":[38],"manner;":[39],"and":[40,72,128,139,166],"2)":[41],"handle":[44,155],"frequent":[45],"updates":[46,157],"repositories":[49],"efficiently.":[50],"Thus,":[51],"most":[52,86],"them":[54],"have":[55],"reprocess":[57],"dataset":[59],"scratch.":[61],"In":[62,110],"this":[63],"paper,":[64],"we":[65,90,117],"propose":[66,149],"graph-based":[68],"approach":[69],"store":[71,91],"query":[73,100,115],"data.":[75],"Rather":[76],"than":[77],"mapping":[78],"triples":[80],"into":[81,104],"relational":[83],"database":[84],"as":[85,94],"methods":[88],"do,":[89],"data":[93],"large":[96],"graph.":[97],"A":[98],"is":[101],"then":[102],"converted":[103],"corresponding":[106],"subgraph":[107],"matching":[108],"query.":[109],"order":[111],"speed":[113],"up":[114],"processing,":[116],"develop":[118],"novel":[120],"index,":[121],"together":[122],"some":[124],"effective":[125,151],"pruning":[126],"rules":[127],"search":[130],"algorithms.":[131],"Our":[132],"method":[133],"can":[134],"exact":[136],"uniform":[145],"manner.":[146],"We":[147],"also":[148],"maintenance":[152],"algorithm":[153],"online":[156],"repositories.":[160],"Extensive":[161],"experiments":[162],"confirm":[163],"efficiency":[165],"effectiveness":[167],"our":[169],"solution.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":16},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":21},{"year":2018,"cited_by_count":27},{"year":2017,"cited_by_count":25},{"year":2016,"cited_by_count":23},{"year":2015,"cited_by_count":28},{"year":2014,"cited_by_count":23},{"year":2013,"cited_by_count":17},{"year":2012,"cited_by_count":13}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2016-06-24T00:00:00"}