{"id":"https://openalex.org/W2019704679","doi":"https://doi.org/10.1145/1871437.1871601","title":"Open user schema guided evaluation of streaming RDF queries","display_name":"Open user schema guided evaluation of streaming RDF queries","publication_year":2010,"publication_date":"2010-10-26","ids":{"openalex":"https://openalex.org/W2019704679","doi":"https://doi.org/10.1145/1871437.1871601","mag":"2019704679"},"language":"en","primary_location":{"id":"doi:10.1145/1871437.1871601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","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/A5077748895","display_name":"Zhihong Chong","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhihong Chong","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034606659","display_name":"Guilin Qi","orcid":"https://orcid.org/0000-0003-0150-7236"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guilin Qi","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100687829","display_name":"Shu Hu","orcid":"https://orcid.org/0000-0003-1446-4140"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Shu","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037355684","display_name":"Jiajia Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajia Bao","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027420557","display_name":"Weiwei Ni","orcid":"https://orcid.org/0000-0003-2534-4750"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiwei Ni","raw_affiliation_strings":["Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101511862","display_name":"Aoying Zhou","orcid":"https://orcid.org/0000-0002-4665-7302"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aoying Zhou","raw_affiliation_strings":["East China Normal University, Shanghai, China","East China Normal University, SHANGHAI, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]},{"raw_affiliation_string":"East China Normal University, SHANGHAI, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5077748895"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":0.451,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.71960207,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1281","last_page":"1284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9995999932289124,"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":0.9995999932289124,"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/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/T11106","display_name":"Data Management and Algorithms","score":0.9961000084877014,"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/computer-science","display_name":"Computer science","score":0.840050458908081},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.7496374845504761},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.739536702632904},{"id":"https://openalex.org/keywords/star-schema","display_name":"Star schema","score":0.7134490013122559},{"id":"https://openalex.org/keywords/rdf-schema","display_name":"RDF Schema","score":0.6020887494087219},{"id":"https://openalex.org/keywords/schema-migration","display_name":"Schema migration","score":0.580142080783844},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.5552145838737488},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5539966225624084},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5069680213928223},{"id":"https://openalex.org/keywords/information-schema","display_name":"Information schema","score":0.4414096474647522},{"id":"https://openalex.org/keywords/conceptual-schema","display_name":"Conceptual schema","score":0.4211846590042114},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.4149256944656372},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.3975585103034973},{"id":"https://openalex.org/keywords/database-schema","display_name":"Database schema","score":0.38145583868026733},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35509192943573},{"id":"https://openalex.org/keywords/semi-structured-model","display_name":"Semi-structured model","score":0.23447132110595703},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15676045417785645},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.12046891450881958},{"id":"https://openalex.org/keywords/gender-schema-theory","display_name":"Gender schema theory","score":0.07429972290992737}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.840050458908081},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.7496374845504761},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.739536702632904},{"id":"https://openalex.org/C190703929","wikidata":"https://www.wikidata.org/wiki/Q1331138","display_name":"Star schema","level":4,"score":0.7134490013122559},{"id":"https://openalex.org/C15657843","wikidata":"https://www.wikidata.org/wiki/Q1751819","display_name":"RDF Schema","level":5,"score":0.6020887494087219},{"id":"https://openalex.org/C153440673","wikidata":"https://www.wikidata.org/wiki/Q7431119","display_name":"Schema migration","level":5,"score":0.580142080783844},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.5552145838737488},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5539966225624084},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5069680213928223},{"id":"https://openalex.org/C150012506","wikidata":"https://www.wikidata.org/wiki/Q6031185","display_name":"Information schema","level":5,"score":0.4414096474647522},{"id":"https://openalex.org/C29275276","wikidata":"https://www.wikidata.org/wiki/Q2268965","display_name":"Conceptual schema","level":3,"score":0.4211846590042114},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.4149256944656372},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.3975585103034973},{"id":"https://openalex.org/C30775581","wikidata":"https://www.wikidata.org/wiki/Q632285","display_name":"Database schema","level":3,"score":0.38145583868026733},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35509192943573},{"id":"https://openalex.org/C56310702","wikidata":"https://www.wikidata.org/wiki/Q2269281","display_name":"Semi-structured model","level":4,"score":0.23447132110595703},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15676045417785645},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.12046891450881958},{"id":"https://openalex.org/C165611974","wikidata":"https://www.wikidata.org/wiki/Q5531015","display_name":"Gender schema theory","level":2,"score":0.07429972290992737},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1871437.1871601","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1871437.1871601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W29172951","https://openalex.org/W1504439773","https://openalex.org/W1576122071","https://openalex.org/W1618147311","https://openalex.org/W1993786250","https://openalex.org/W2000656232","https://openalex.org/W2062184932","https://openalex.org/W2062618908","https://openalex.org/W2069980026","https://openalex.org/W2089247435","https://openalex.org/W2111984440","https://openalex.org/W2118178253","https://openalex.org/W2132598136","https://openalex.org/W2135577024","https://openalex.org/W2137152505","https://openalex.org/W2160770337","https://openalex.org/W6636271954"],"related_works":["https://openalex.org/W166845585","https://openalex.org/W945629821","https://openalex.org/W1992271858","https://openalex.org/W4238907651","https://openalex.org/W2105315220","https://openalex.org/W1513459549","https://openalex.org/W2042840812","https://openalex.org/W1972697014","https://openalex.org/W14147201","https://openalex.org/W2103472145"],"abstract_inverted_index":{"Performance":[0],"and":[1,34,84,95,111,161,169],"scalability":[2],"are":[3,7],"two":[4,47,82],"issues":[5],"that":[6,147],"becoming":[8],"increasingly":[9],"pressing":[10],"as":[11],"RDF":[12,27,74,177],"data":[13],"model":[14],"is":[15,41,79,123],"applied":[16],"to":[17,125,129,165],"real-world":[18],"applications.":[19],"Because":[20],"neither":[21],"vertical":[22,98],"nor":[23],"flat":[24,69,88,131],"structures":[25],"of":[26,68,108,171],"storage":[28,57],"can":[29,149],"handle":[30],"frequent":[31],"schema":[32,58,66,94,151],"updates":[33,152],"meanwhile":[35],"avoid":[36],"possible":[37,154],"long-chain":[38,155],"joins,":[39],"there":[40],"no":[42],"clear":[43],"winner":[44],"between":[45],"these":[46],"typical":[48],"structures.":[49],"In":[50],"this":[51,109],"paper,":[52],"we":[53],"propose":[54],"an":[55,118],"alternative":[56],"called":[59],"open":[60,64,92,115,135],"user":[61,65,93,116,136],"schema.":[62,137],"The":[63],"consists":[67],"tables":[70,89,132],"automatically":[71],"extracted":[72],"from":[73,143],"query":[75,78,128],"streams.":[76],"A":[77],"divided":[80],"into":[81],"parts":[83],"conquered,respectively,":[85],"on":[86,96],"the":[87,91,97,106,134],"in":[90,101,133,140,146,174],"table":[99],"stored":[100],"a":[102,127],"backend":[103],"storage.":[104],"At":[105],"core":[107],"divide":[110],"conquer":[112],"architecture":[113],"with":[114],"schema,":[117],"efficient":[119],"isomorphism":[120],"decision":[121],"algorithm":[122],"given":[124],"guide":[126],"related":[130],"Our":[138],"proposal":[139],"essence":[141],"departs":[142],"existing":[144],"methods":[145],"it":[148],"accommodate":[150],"without":[153],"joins.":[156],"We":[157],"implement":[158],"our":[159,172],"approach":[160,173],"provide":[162],"empirical":[163],"evaluations":[164],"demonstrate":[166],"both":[167],"efficiency":[168],"effectiveness":[170],"evaluating":[175],"complex":[176],"queries.":[178]},"counts_by_year":[{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
