{"id":"https://openalex.org/W4321509050","doi":"https://doi.org/10.14778/2824032.2824093","title":"Reformulation-based query answering in RDF","display_name":"Reformulation-based query answering in RDF","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W4321509050","doi":"https://doi.org/10.14778/2824032.2824093"},"language":"en","primary_location":{"id":"doi:10.14778/2824032.2824093","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2824032.2824093","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/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"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Damian Bursztyn","raw_affiliation_strings":["INRIA &amp; Universit\u00e9 Paris-Sud, Saclay, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA &amp; Universit\u00e9 Paris-Sud, Saclay, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1326498283","https://openalex.org/I277688954"]}]},{"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":"Fran\u00e7ois Goasdou\u00e9","raw_affiliation_strings":["Universit\u00e9 Rennes 1 &amp; INRIA, Lannion, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 Rennes 1 &amp; INRIA, Lannion, France","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"last","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"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ioana Manolescu","raw_affiliation_strings":["INRIA &amp; Universit\u00e9 Paris-Sud, Saclay, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"INRIA &amp; Universit\u00e9 Paris-Sud, Saclay, France","institution_ids":["https://openalex.org/I102197404","https://openalex.org/I1326498283","https://openalex.org/I277688954"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5809,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.90039945,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"8","issue":"12","first_page":"1888","last_page":"1891"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10215","display_name":"Semantic Web and Ontologies","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9972000122070312,"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":0.9901000261306763,"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":0.8072549104690552},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6313546299934387},{"id":"https://openalex.org/keywords/rdf","display_name":"RDF","score":0.6068928241729736},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5085140466690063},{"id":"https://openalex.org/keywords/question-answering","display_name":"Question answering","score":0.5077858567237854},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5071060657501221},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5046423673629761},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.5036472678184509},{"id":"https://openalex.org/keywords/sparql","display_name":"SPARQL","score":0.4828265607357025},{"id":"https://openalex.org/keywords/query-language","display_name":"Query language","score":0.4808993339538574},{"id":"https://openalex.org/keywords/web-query-classification","display_name":"Web query classification","score":0.459789514541626},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.4540002644062042},{"id":"https://openalex.org/keywords/rdf-query-language","display_name":"RDF query language","score":0.45002394914627075},{"id":"https://openalex.org/keywords/semantic-web","display_name":"Semantic Web","score":0.37704217433929443},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30075740814208984},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.26178884506225586}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8072549104690552},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6313546299934387},{"id":"https://openalex.org/C147497476","wikidata":"https://www.wikidata.org/wiki/Q54872","display_name":"RDF","level":3,"score":0.6068928241729736},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5085140466690063},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.5077858567237854},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5071060657501221},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5046423673629761},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.5036472678184509},{"id":"https://openalex.org/C41009113","wikidata":"https://www.wikidata.org/wiki/Q54871","display_name":"SPARQL","level":4,"score":0.4828265607357025},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.4808993339538574},{"id":"https://openalex.org/C118689300","wikidata":"https://www.wikidata.org/wiki/Q7978614","display_name":"Web query classification","level":4,"score":0.459789514541626},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.4540002644062042},{"id":"https://openalex.org/C96956885","wikidata":"https://www.wikidata.org/wiki/Q6138701","display_name":"RDF query language","level":5,"score":0.45002394914627075},{"id":"https://openalex.org/C2129575","wikidata":"https://www.wikidata.org/wiki/Q54837","display_name":"Semantic Web","level":2,"score":0.37704217433929443},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30075740814208984},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.26178884506225586},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/2824032.2824093","is_oa":false,"landing_page_url":"https://doi.org/10.14778/2824032.2824093","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/16","score":0.4699999988079071,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1529012686","https://openalex.org/W1618147311","https://openalex.org/W1970956440","https://openalex.org/W2000656232","https://openalex.org/W2028716971","https://openalex.org/W2122812212","https://openalex.org/W2136600545","https://openalex.org/W2137862151","https://openalex.org/W2403985139","https://openalex.org/W2405185577","https://openalex.org/W4210596830","https://openalex.org/W6630781617","https://openalex.org/W6633513001","https://openalex.org/W6647556548","https://openalex.org/W6697087613","https://openalex.org/W7055359986"],"related_works":["https://openalex.org/W2120236199","https://openalex.org/W2791763890","https://openalex.org/W3171256892","https://openalex.org/W2563388676","https://openalex.org/W2091301598","https://openalex.org/W3082761338","https://openalex.org/W2982984597","https://openalex.org/W1547764714","https://openalex.org/W2104045630","https://openalex.org/W2484233589"],"abstract_inverted_index":{"Answering":[0],"queries":[1,106],"over":[2],"Semantic":[3],"Web":[4],"data,":[5,17],"i.e.,":[6],"RDF":[7],"graphs,":[8],"must":[9],"account":[10],"for":[11],"both":[12],"explicit":[13,21,78],"data":[14,22,79],"and":[15,23,46,54,147,157,164],"implicit":[16,52],"entailed":[18],"by":[19],"the":[20,24,49,62,66,72,77,83,86,111,159,167,171],"semantic":[25],"constraints":[26,146],"holding":[27],"on":[28,65,173],"them.":[29],"Two":[30],"main":[31],"query":[32,63,74,87,112],"answering":[33],"techniques":[34],"have":[35],"been":[36],"devised,":[37],"namely":[38],"Saturation":[39],"-based":[40,56],"(S":[41],"at":[42,91],")":[43,59],"which":[44,60],"precomputes":[45],"adds":[47],"to":[48,129,139,169],"graph":[50,67],"all":[51],"information,":[53],"Reformulation":[55],"(R":[57],"ef":[58,96,123,183],"reformulates":[61],"based":[64],"constraints,":[68],"so":[69,101],"that":[70],"evaluating":[71],"reformulated":[73,105],"directly":[75],"against":[76,143],"(i.e.,":[80],"without":[81],"considering":[82],"constraints)":[84],"produces":[85],"answer.":[88],"While":[89],"S":[90],"is":[92,113],"well":[93,150],"known,":[94],"R":[95,122,182],"has":[97],"received":[98],"less":[99],"attention":[100],"far.":[102],"In":[103,175],"particular,":[104,176],"often":[107],"perform":[108],"poorly":[109],"if":[110],"complex.":[114],"Our":[115],"demonstration":[116],"showcases":[117],"a":[118,180],"large":[119],"set":[120],"of":[121],"techniques,":[124],"including":[125],"but":[126],"not":[127],"limited":[128],"one":[130],"we":[131,177],"proposed":[132],"recently.":[133],"The":[134],"audience":[135],"will":[136],"be":[137],"able":[138],"1:":[140],"test":[141],"them":[142],"different":[144,152],"datasets,":[145],"queries,":[148],"as":[149,151],"well-established":[153],"systems,":[154],"2:":[155],"analyze":[156],"understand":[158],"performance":[160,188],"challenges":[161],"they":[162],"raise,":[163],"3:":[165],"alter":[166],"scenarios":[168],"visualize":[170],"impact":[172],"performance.":[174],"show":[178],"how":[179],"cost-based":[181],"approach":[184],"allows":[185],"avoiding":[186],"reformulation":[187],"pitfalls.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
