{"id":"https://openalex.org/W2885369710","doi":"https://doi.org/10.1007/978-3-319-99247-1_11","title":"ROSIE: Runtime Optimization of SPARQL Queries over RDF Using Incremental Evaluation","display_name":"ROSIE: Runtime Optimization of SPARQL Queries over RDF Using Incremental Evaluation","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2885369710","doi":"https://doi.org/10.1007/978-3-319-99247-1_11","mag":"2885369710"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-319-99247-1_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-99247-1_11","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"conference-paper","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/A5046835303","display_name":"Lei Gai","orcid":"https://orcid.org/0000-0002-0695-5620"},"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 Gai","raw_affiliation_strings":["CTBT Beijing National Data Center and Beijing Radionuclide Laboratory, Beijing, China","School of Electrical Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0695-5620","affiliations":[{"raw_affiliation_string":"CTBT Beijing National Data Center and Beijing Radionuclide Laboratory, Beijing, China","institution_ids":[]},{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377876","display_name":"Xiaoming Wang","orcid":"https://orcid.org/0000-0002-2075-9087"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoming Wang","raw_affiliation_strings":["CTBT Beijing National Data Center and Beijing Radionuclide Laboratory, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"CTBT Beijing National Data Center and Beijing Radionuclide Laboratory, Beijing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115590373","display_name":"Tengjiao Wang","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":"Tengjiao Wang","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5046835303"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":0.2264,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51230156,"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":"117","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9965000152587891,"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":0.9940000176429749,"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/sparql","display_name":"SPARQL","score":0.9316505193710327},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.8729171752929688},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8689166307449341},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.807015061378479},{"id":"https://openalex.org/keywords/query-plan","display_name":"Query plan","score":0.7111984491348267},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.541434645652771},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5178282856941223},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.44806233048439026},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.42700257897377014},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.3835948705673218},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37695637345314026},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35081419348716736},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.1838330328464508},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.17640137672424316},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.16584667563438416},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.11418691277503967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10436561703681946},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.08624807000160217}],"concepts":[{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.9316505193710327},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.8729171752929688},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8689166307449341},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.807015061378479},{"id":"https://openalex.org/C2779729312","wikidata":"https://www.wikidata.org/wiki/Q784232","display_name":"Query plan","level":5,"score":0.7111984491348267},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.541434645652771},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5178282856941223},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.44806233048439026},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.42700257897377014},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3835948705673218},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37695637345314026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35081419348716736},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.1838330328464508},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.17640137672424316},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.16584667563438416},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.11418691277503967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10436561703681946},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.08624807000160217},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-319-99247-1_11","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-319-99247-1_11","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1510908550","https://openalex.org/W2000656232","https://openalex.org/W2006628185","https://openalex.org/W2028716971","https://openalex.org/W2036380454","https://openalex.org/W2100387739","https://openalex.org/W2107023417","https://openalex.org/W2131785201","https://openalex.org/W2133479441","https://openalex.org/W2146569941","https://openalex.org/W2151310484","https://openalex.org/W2171438172","https://openalex.org/W2280869227","https://openalex.org/W2396012111","https://openalex.org/W2398254416","https://openalex.org/W2782752561","https://openalex.org/W2786268876","https://openalex.org/W2792538726","https://openalex.org/W3105669951","https://openalex.org/W4239671915"],"related_works":["https://openalex.org/W2120236199","https://openalex.org/W2791763890","https://openalex.org/W3171256892","https://openalex.org/W2145964015","https://openalex.org/W2563388676","https://openalex.org/W2091301598","https://openalex.org/W2104045630","https://openalex.org/W1574546694","https://openalex.org/W2614542053","https://openalex.org/W4205538914"],"abstract_inverted_index":null,"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}