{"id":"https://openalex.org/W1529012686","doi":"https://doi.org/10.1109/icde.2015.7113422","title":"Reasoning on web data: Algorithms and performance","display_name":"Reasoning on web data: Algorithms and performance","publication_year":2015,"publication_date":"2015-04-01","ids":{"openalex":"https://openalex.org/W1529012686","doi":"https://doi.org/10.1109/icde.2015.7113422","mag":"1529012686"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2015.7113422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2015.7113422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 31st International Conference on Data Engineering","raw_type":"proceedings-article"},"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/A5068242872","display_name":"Dami\u00e1n Bursztyn","orcid":null},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Damian Bursztyn","raw_affiliation_strings":["INRIA, France","Universit\u00e9 Paris-Sud, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Sud, France","institution_ids":["https://openalex.org/I102197404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080127670","display_name":"Fran\u00e7ois Goasdou\u00e9","orcid":"https://orcid.org/0000-0003-4532-7974"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francois Goasdoue","raw_affiliation_strings":["INRIA, France","Universit\u00e9 Rennes 1, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Universit\u00e9 Rennes 1, France","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056968239","display_name":"Ioana Manolescu","orcid":"https://orcid.org/0000-0002-0425-2462"},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ioana Manolescu","raw_affiliation_strings":["INRIA, France","Universit\u00e9 Paris-Sud, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Sud, France","institution_ids":["https://openalex.org/I102197404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030753755","display_name":"Alexandra Roati\u015f","orcid":null},"institutions":[{"id":"https://openalex.org/I102197404","display_name":"Universit\u00e9 Paris-Sud","ror":"https://ror.org/028rypz17","country_code":"FR","type":"education","lineage":["https://openalex.org/I102197404"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexandra Roatis","raw_affiliation_strings":["INRIA, France","Universit\u00e9 Paris-Sud, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Universit\u00e9 Paris-Sud, France","institution_ids":["https://openalex.org/I102197404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4115,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.55567686,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1541","last_page":"1544"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9983999729156494,"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":0.9955999851226807,"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":0.8561298847198486},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.8344072699546814},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.662914514541626},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5519282221794128},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5414514541625977},{"id":"https://openalex.org/keywords/linked-data","display_name":"Linked data","score":0.5156854391098022},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.46490228176116943},{"id":"https://openalex.org/keywords/rdf-schema","display_name":"RDF Schema","score":0.4568330943584442},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.4374557137489319},{"id":"https://openalex.org/keywords/cwm","display_name":"Cwm","score":0.41736215353012085},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1322377622127533}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8561298847198486},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.8344072699546814},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.662914514541626},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5519282221794128},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5414514541625977},{"id":"https://openalex.org/C69075417","wikidata":"https://www.wikidata.org/wiki/Q515701","display_name":"Linked data","level":3,"score":0.5156854391098022},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.46490228176116943},{"id":"https://openalex.org/C15657843","wikidata":"https://www.wikidata.org/wiki/Q1751819","display_name":"RDF Schema","level":5,"score":0.4568330943584442},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.4374557137489319},{"id":"https://openalex.org/C157595922","wikidata":"https://www.wikidata.org/wiki/Q50745537","display_name":"Cwm","level":5,"score":0.41736215353012085},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1322377622127533},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icde.2015.7113422","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2015.7113422","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 31st International Conference on Data Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W206003732","https://openalex.org/W1517300580","https://openalex.org/W1555563750","https://openalex.org/W1558832481","https://openalex.org/W1618147311","https://openalex.org/W1751091745","https://openalex.org/W1855869293","https://openalex.org/W1972793074","https://openalex.org/W2037560604","https://openalex.org/W2082941608","https://openalex.org/W2102551156","https://openalex.org/W2122812212","https://openalex.org/W2135577024","https://openalex.org/W2136600545","https://openalex.org/W2137862151","https://openalex.org/W2147344977","https://openalex.org/W2152433756","https://openalex.org/W2193530801","https://openalex.org/W2398830723","https://openalex.org/W2401016331","https://openalex.org/W2405066551","https://openalex.org/W3146347964","https://openalex.org/W4210596830","https://openalex.org/W4229551925","https://openalex.org/W6659836136","https://openalex.org/W6680351813","https://openalex.org/W6712958647","https://openalex.org/W6713578294"],"related_works":["https://openalex.org/W2602535883","https://openalex.org/W4301152651","https://openalex.org/W4206665951","https://openalex.org/W4296056063","https://openalex.org/W3107051279","https://openalex.org/W199330785","https://openalex.org/W3150241097","https://openalex.org/W2476635466","https://openalex.org/W2615202182","https://openalex.org/W2563388676"],"abstract_inverted_index":{"Techniques":[0],"for":[1,36,96],"efficiently":[2],"managing":[3],"Semantic":[4],"Web":[5],"data":[6,13,53],"have":[7],"attracted":[8],"significant":[9],"interest":[10,44],"from":[11],"the":[12,29,42],"management":[14],"and":[15,34,54],"knowledge":[16],"representation":[17],"communities.":[18],"A":[19],"great":[20],"deal":[21],"of":[22,45,51,64],"effort":[23],"has":[24],"been":[25],"invested,":[26],"especially":[27],"in":[28,48],"database":[30],"community,":[31],"into":[32,89],"algorithms":[33],"tools":[35],"efficient":[37],"RDF":[38,46,57],"query":[39],"evaluation.":[40],"However,":[41],"main":[43],"lies":[47],"its":[49],"blending":[50],"heterogeneous":[52],"semantics.":[55],"Simple":[56],"graphs":[58],"can":[59,81],"be":[60,68,82],"seen":[61],"as":[62],"collections":[63],"facts,":[65],"which":[66,79],"may":[67],"further":[69],"enriched":[70],"with":[71],"ontological":[72],"schemas,":[73],"or":[74],"semantic":[75],"constraints,":[76],"based":[77],"on":[78],"reasoning":[80],"applied":[83],"to":[84],"infer":[85],"new":[86],"information.":[87],"Taking":[88],"account":[90],"this":[91],"implicit":[92],"information":[93],"is":[94],"crucial":[95],"answering":[97],"queries.":[98]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
