{"id":"https://openalex.org/W4400075081","doi":"https://doi.org/10.3390/bdcc8070071","title":"ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL","display_name":"ReJOOSp: Reinforcement Learning for Join Order Optimization in SPARQL","publication_year":2024,"publication_date":"2024-06-27","ids":{"openalex":"https://openalex.org/W4400075081","doi":"https://doi.org/10.3390/bdcc8070071"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc8070071","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc8070071","pdf_url":null,"source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/bdcc8070071","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069919573","display_name":"Benjamin Warnke","orcid":"https://orcid.org/0000-0002-9982-1620"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Benjamin Warnke","raw_affiliation_strings":["Institute of Information Systems, University of L\u00fcbeck, 23562 L\u00fcbeck, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Information Systems, University of L\u00fcbeck, 23562 L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072198350","display_name":"K. Martens","orcid":null},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Kevin Martens","raw_affiliation_strings":["Institute of Information Systems, University of L\u00fcbeck, 23562 L\u00fcbeck, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Information Systems, University of L\u00fcbeck, 23562 L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009754459","display_name":"Tobias Winker","orcid":"https://orcid.org/0009-0009-6612-4907"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tobias Winker","raw_affiliation_strings":["Institute of Information Systems, University of L\u00fcbeck, 23562 L\u00fcbeck, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Information Systems, University of L\u00fcbeck, 23562 L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029547855","display_name":"Sven Groppe","orcid":"https://orcid.org/0000-0001-5196-1117"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sven Groppe","raw_affiliation_strings":["Institute of Information Systems, University of L\u00fcbeck, 23562 L\u00fcbeck, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Information Systems, University of L\u00fcbeck, 23562 L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073274924","display_name":"Jinghua Groppe","orcid":"https://orcid.org/0009-0009-0295-7029"},"institutions":[{"id":"https://openalex.org/I9341345","display_name":"University of L\u00fcbeck","ror":"https://ror.org/00t3r8h32","country_code":"DE","type":"education","lineage":["https://openalex.org/I9341345"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jinghua Groppe","raw_affiliation_strings":["Institute of Information Systems, University of L\u00fcbeck, 23562 L\u00fcbeck, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Information Systems, University of L\u00fcbeck, 23562 L\u00fcbeck, Germany","institution_ids":["https://openalex.org/I9341345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038335077","display_name":"Prasad Adhiyaman","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prasad Adhiyaman","raw_affiliation_strings":["Centre for Advanced Data Science, Vellore Institute of Technology, Chennai 600127, India"],"affiliations":[{"raw_affiliation_string":"Centre for Advanced Data Science, Vellore Institute of Technology, Chennai 600127, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086654092","display_name":"Sruthi Srinivasan","orcid":null},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sruthi Srinivasan","raw_affiliation_strings":["Centre for Advanced Data Science, Vellore Institute of Technology, Chennai 600127, India"],"affiliations":[{"raw_affiliation_string":"Centre for Advanced Data Science, Vellore Institute of Technology, Chennai 600127, India","institution_ids":["https://openalex.org/I876193797"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031505347","display_name":"S. Shridevi","orcid":"https://orcid.org/0000-0002-0038-7212"},"institutions":[{"id":"https://openalex.org/I876193797","display_name":"Vellore Institute of Technology University","ror":"https://ror.org/00qzypv28","country_code":"IN","type":"education","lineage":["https://openalex.org/I876193797"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shridevi Krishnakumar","raw_affiliation_strings":["Centre for Advanced Data Science, Vellore Institute of Technology, Chennai 600127, India"],"affiliations":[{"raw_affiliation_string":"Centre for Advanced Data Science, Vellore Institute of Technology, Chennai 600127, India","institution_ids":["https://openalex.org/I876193797"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5029547855"],"corresponding_institution_ids":["https://openalex.org/I9341345"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.461,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82477399,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"8","issue":"7","first_page":"71","last_page":"71"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9968000054359436,"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"}},{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9959999918937683,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.8816503286361694},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8692619204521179},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.8501696586608887},{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.8276305198669434},{"id":"https://openalex.org/keywords/sql","display_name":"SQL","score":0.6284982562065125},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5822755694389343},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5080254077911377},{"id":"https://openalex.org/keywords/hash-join","display_name":"Hash join","score":0.4429887533187866},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.43018779158592224},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.38712722063064575},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3174285590648651},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.3141935467720032},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2456287145614624},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.180423766374588},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.17023718357086182}],"concepts":[{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.8816503286361694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8692619204521179},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.8501696586608887},{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.8276305198669434},{"id":"https://openalex.org/C510870499","wikidata":"https://www.wikidata.org/wiki/Q47607","display_name":"SQL","level":2,"score":0.6284982562065125},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5822755694389343},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5080254077911377},{"id":"https://openalex.org/C188805328","wikidata":"https://www.wikidata.org/wiki/Q4060691","display_name":"Hash join","level":3,"score":0.4429887533187866},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.43018779158592224},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.38712722063064575},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3174285590648651},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3141935467720032},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2456287145614624},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.180423766374588},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.17023718357086182},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc8070071","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc8070071","pdf_url":null,"source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:5b900a88fe8245a59bc7241317f6c060","is_oa":true,"landing_page_url":"https://doaj.org/article/5b900a88fe8245a59bc7241317f6c060","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Big Data and Cognitive Computing, Vol 8, Iss 7, p 71 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc8070071","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc8070071","pdf_url":null,"source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W1968829657","https://openalex.org/W2000656232","https://openalex.org/W2010890196","https://openalex.org/W2066580100","https://openalex.org/W2089059416","https://openalex.org/W2092311917","https://openalex.org/W2100773341","https://openalex.org/W2146492010","https://openalex.org/W2150304332","https://openalex.org/W2168865746","https://openalex.org/W2396012111","https://openalex.org/W2396635388","https://openalex.org/W2421547754","https://openalex.org/W2522489477","https://openalex.org/W2523679382","https://openalex.org/W2585664214","https://openalex.org/W2766220942","https://openalex.org/W2790625403","https://openalex.org/W2890276152","https://openalex.org/W2950833175","https://openalex.org/W2998249308","https://openalex.org/W3029535034","https://openalex.org/W3031390801","https://openalex.org/W3037164854","https://openalex.org/W3040734868","https://openalex.org/W3093521593","https://openalex.org/W3097225903","https://openalex.org/W3099158806","https://openalex.org/W3119448165","https://openalex.org/W3146803002","https://openalex.org/W3185640417","https://openalex.org/W3197977787","https://openalex.org/W3198024709","https://openalex.org/W4206064074","https://openalex.org/W4230112007","https://openalex.org/W4232672600","https://openalex.org/W4280648469","https://openalex.org/W4289706945","https://openalex.org/W4379382779","https://openalex.org/W4379382797","https://openalex.org/W4380433194","https://openalex.org/W4383749478","https://openalex.org/W4387743627","https://openalex.org/W4387830218","https://openalex.org/W4400653028","https://openalex.org/W6661429692"],"related_works":["https://openalex.org/W3097775534","https://openalex.org/W2393491644","https://openalex.org/W4206577045","https://openalex.org/W650102067","https://openalex.org/W1550806730","https://openalex.org/W2589740103","https://openalex.org/W2172084996","https://openalex.org/W1501284171","https://openalex.org/W1966967794","https://openalex.org/W3086237447"],"abstract_inverted_index":{"The":[0,144],"choice":[1],"of":[2,15,36,39,58,110,146,165],"a":[3,48,91,106,128,162],"good":[4],"join":[5,21,44,78,96,129],"order":[6,22,45,79,130],"plays":[7],"an":[8,27],"important":[9],"role":[10],"in":[11],"the":[12,19,34,56,139],"query":[13,66,154],"performance":[14,155],"databases.":[16],"However,":[17],"determining":[18],"best":[20],"is":[23],"known":[24],"to":[25,43,76,120,151],"be":[26],"NP-hard":[28],"problem":[29],"with":[30,33],"exponential":[31],"growth":[32],"number":[35,109],"joins.":[37],"Because":[38],"this,":[40],"nonlearning":[41],"approaches":[42],"optimization":[46,50,97],"have":[47,72],"longer":[49],"and":[51,115,135,169],"execution":[52,159],"time.":[53],"In":[54,86],"comparison,":[55],"models":[57],"machine":[59,74],"learning,":[60],"once":[61],"trained,":[62],"can":[63],"construct":[64],"optimized":[65],"plans":[67,160],"very":[68],"quickly.":[69],"Several":[70],"efforts":[71],"applied":[73],"learning":[75,93],"optimize":[77],"for":[80,95,98,161],"SQL":[81,113],"queries":[82,103,114,166],"outperforming":[83],"traditional":[84],"approaches.":[85],"this":[87],"work,":[88],"we":[89,125],"suggest":[90],"reinforcement":[92],"technique":[94],"SPARQL":[99,102],"queries,":[100],"ReJOOSp.":[101],"typically":[104],"contain":[105],"much":[107],"higher":[108],"joins":[111],"than":[112],"so":[116],"are":[117],"more":[118],"difficult":[119],"optimize.":[121],"To":[122],"evaluate":[123],"ReJOOSp,":[124],"further":[126],"develop":[127],"optimizer":[131],"based":[132],"on":[133],"ReJOOSp":[134,147],"integrate":[136],"it":[137],"into":[138],"Semantic":[140],"Web":[141],"DBMS":[142],"Luposdate3000.":[143],"evaluation":[145],"shows":[148],"its":[149],"capability":[150],"significantly":[152],"enhance":[153],"by":[156],"achieving":[157],"high-quality":[158],"substantial":[163],"portion":[164],"across":[167],"synthetic":[168],"real-world":[170],"datasets.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}