{"id":"https://openalex.org/W4321508425","doi":"https://doi.org/10.14778/2904121.2904123","title":"Inferray","display_name":"Inferray","publication_year":2016,"publication_date":"2016-01-01","ids":{"openalex":"https://openalex.org/W4321508425","doi":"https://doi.org/10.14778/2904121.2904123"},"language":"en","primary_location":{"id":"doi:10.14778/2904121.2904123","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2904121.2904123","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/A5036190582","display_name":"Julien Subercaze","orcid":null},"institutions":[{"id":"https://openalex.org/I86767153","display_name":"Universit\u00e9 Jean Monnet","ror":"https://ror.org/04yznqr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I86767153"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Julien Subercaze","raw_affiliation_strings":["Universit\u00e9 Jean Monnet, Saint-Etienne, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Jean Monnet, Saint-Etienne, France","institution_ids":["https://openalex.org/I86767153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082775286","display_name":"Christophe Gravier","orcid":"https://orcid.org/0000-0001-8586-6302"},"institutions":[{"id":"https://openalex.org/I86767153","display_name":"Universit\u00e9 Jean Monnet","ror":"https://ror.org/04yznqr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I86767153"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Christophe Gravier","raw_affiliation_strings":["Universit\u00e9 Jean Monnet, Saint-Etienne, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Jean Monnet, Saint-Etienne, France","institution_ids":["https://openalex.org/I86767153"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057944895","display_name":"Jules Chevalier","orcid":null},"institutions":[{"id":"https://openalex.org/I86767153","display_name":"Universit\u00e9 Jean Monnet","ror":"https://ror.org/04yznqr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I86767153"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jules Chevalier","raw_affiliation_strings":["Universit\u00e9 Jean Monnet, Saint-Etienne, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Jean Monnet, Saint-Etienne, France","institution_ids":["https://openalex.org/I86767153"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035496205","display_name":"Fr\u00e9d\u00e9rique Laforest","orcid":"https://orcid.org/0000-0003-0977-7476"},"institutions":[{"id":"https://openalex.org/I86767153","display_name":"Universit\u00e9 Jean Monnet","ror":"https://ror.org/04yznqr36","country_code":"FR","type":"education","lineage":["https://openalex.org/I86767153"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Frederique Laforest","raw_affiliation_strings":["Universit\u00e9 Jean Monnet, Saint-Etienne, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Jean Monnet, Saint-Etienne, France","institution_ids":["https://openalex.org/I86767153"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036190582"],"corresponding_institution_ids":["https://openalex.org/I86767153"],"apc_list":null,"apc_paid":null,"fwci":4.7132,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.95551463,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9","issue":"6","first_page":"468","last_page":"479"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9891999959945679,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8248182535171509},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7488715052604675},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.5929812788963318},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5891169905662537},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.5846943259239197},{"id":"https://openalex.org/keywords/rdf-schema","display_name":"RDF Schema","score":0.5577789545059204},{"id":"https://openalex.org/keywords/merge","display_name":"Merge (version control)","score":0.555388331413269},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.49875688552856445},{"id":"https://openalex.org/keywords/transitive-closure","display_name":"Transitive closure","score":0.43935948610305786},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4129381477832794},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.3720093369483948},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3499138057231903},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26905733346939087},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.23142486810684204},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2077483832836151},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.142345130443573},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13879543542861938},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11130854487419128}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8248182535171509},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7488715052604675},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.5929812788963318},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5891169905662537},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.5846943259239197},{"id":"https://openalex.org/C15657843","wikidata":"https://www.wikidata.org/wiki/Q1751819","display_name":"RDF Schema","level":5,"score":0.5577789545059204},{"id":"https://openalex.org/C197129107","wikidata":"https://www.wikidata.org/wiki/Q1921621","display_name":"Merge (version control)","level":2,"score":0.555388331413269},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.49875688552856445},{"id":"https://openalex.org/C128896722","wikidata":"https://www.wikidata.org/wiki/Q1501387","display_name":"Transitive closure","level":2,"score":0.43935948610305786},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4129381477832794},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.3720093369483948},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3499138057231903},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26905733346939087},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.23142486810684204},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2077483832836151},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.142345130443573},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13879543542861938},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11130854487419128},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/2904121.2904123","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2904121.2904123","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"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.46000000834465027}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W139336485","https://openalex.org/W273449305","https://openalex.org/W1535758363","https://openalex.org/W1548616358","https://openalex.org/W1549103420","https://openalex.org/W1718459485","https://openalex.org/W1812636409","https://openalex.org/W1843059895","https://openalex.org/W1983094331","https://openalex.org/W1989009626","https://openalex.org/W1993786250","https://openalex.org/W1998608579","https://openalex.org/W2022166150","https://openalex.org/W2028716971","https://openalex.org/W2036380454","https://openalex.org/W2061253631","https://openalex.org/W2081385143","https://openalex.org/W2082695854","https://openalex.org/W2089247435","https://openalex.org/W2116502002","https://openalex.org/W2135577024","https://openalex.org/W2140613126","https://openalex.org/W2148522916","https://openalex.org/W2193530801","https://openalex.org/W2406955896","https://openalex.org/W2999353834","https://openalex.org/W6603592053","https://openalex.org/W6634464011","https://openalex.org/W6637903994"],"related_works":["https://openalex.org/W50701655","https://openalex.org/W2027499911","https://openalex.org/W1939859361","https://openalex.org/W43613300","https://openalex.org/W2218209731","https://openalex.org/W2528240602","https://openalex.org/W1991234668","https://openalex.org/W1532834088","https://openalex.org/W2550790379","https://openalex.org/W4243630814"],"abstract_inverted_index":{"The":[0,18,55],"advent":[1],"of":[2,25,43,58,81,83,126],"semantic":[3],"data":[4,26],"on":[5,66,89,110,119],"the":[6,22],"Web":[7],"requires":[8],"efficient":[9,74,79,104],"reasoning":[10],"systems":[11],"to":[12,102,123],"infer":[13],"RDF":[14],"and":[15,21,29,46,73,92,112,121],"OWL":[16],"data.":[17],"linked":[19],"nature":[20],"huge":[23],"volume":[24],"entail":[27],"efficiency":[28],"scalability":[30],"challenges":[31],"when":[32],"designing":[33],"productive":[34],"inference":[35,48],"systems.":[36],"This":[37],"paper":[38],"presents":[39],"Inferray,":[40],"an":[41],"implementation":[42],"RDFS,":[44],"\u03c1df,":[45],"RDFS-Plus":[47],"with":[49],"improved":[50],"performance":[51],"over":[52,117],"existing":[53],"solutions.":[54],"main":[56],"features":[57],"Inferray":[59],"are":[60],"1)":[61],"a":[62,93,98],"storage":[63,101],"layout":[64],"based":[65],"vertical":[67],"partitioning":[68],"that":[69],"guarantees":[70],"sequential":[71],"access":[72],"sort-merge":[75],"join":[76],"inference;":[77],"2)":[78],"sorting":[80],"pairs":[82],"64-bit":[84],"integers":[85],"using":[86],"ad-hoc":[87],"optimizations":[88],"MSD":[90],"radix":[91],"custom":[94],"counting":[95],"sort;":[96],"3)":[97],"dedicated":[99],"temporary":[100],"perform":[103],"graph":[105],"closure":[106],"computation.":[107],"Our":[108],"measurements":[109],"synthetic":[111],"real-world":[113],"datasets":[114],"show":[115],"improvements":[116],"competitors":[118],"RDFS-Plus,":[120],"up":[122],"several":[124],"orders":[125],"magnitude":[127],"for":[128],"transitivity":[129],"closure.":[130]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-02-23T00:00:00"}