{"id":"https://openalex.org/W4414041300","doi":"https://doi.org/10.14778/3749646.3749670","title":"Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms","display_name":"Advancing Fact Attribution for Query Answering: Aggregate Queries and Novel Algorithms","publication_year":2025,"publication_date":"2025-07-01","ids":{"openalex":"https://openalex.org/W4414041300","doi":"https://doi.org/10.14778/3749646.3749670"},"language":"en","primary_location":{"id":"doi:10.14778/3749646.3749670","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3749646.3749670","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","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5167/uzh-433765","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031777720","display_name":"Omer Abramovich","orcid":"https://orcid.org/0009-0003-3116-7196"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Omer Abramovich","raw_affiliation_strings":["Tel Aviv University, Tel Aviv, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073835385","display_name":"Daniel Deutch","orcid":"https://orcid.org/0009-0001-0838-0162"},"institutions":[{"id":"https://openalex.org/I16391192","display_name":"Tel Aviv University","ror":"https://ror.org/04mhzgx49","country_code":"IL","type":"education","lineage":["https://openalex.org/I16391192"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Daniel Deutch","raw_affiliation_strings":["Tel Aviv University, Tel Aviv, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tel Aviv University, Tel Aviv, Israel","institution_ids":["https://openalex.org/I16391192"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094247771","display_name":"Nave Frost","orcid":"https://orcid.org/0009-0000-8002-0578"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nave Frost","raw_affiliation_strings":["eBay Research, Netanya, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"eBay Research, Netanya, Israel","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103035384","display_name":"Ahmet Kara","orcid":"https://orcid.org/0000-0001-8155-8070"},"institutions":[{"id":"https://openalex.org/I120163777","display_name":"OTH Regensburg","ror":"https://ror.org/04b9vrm74","country_code":"DE","type":"education","lineage":["https://openalex.org/I120163777"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ahmet Kara","raw_affiliation_strings":["OTH Regensburg, Regensburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"OTH Regensburg, Regensburg, Germany","institution_ids":["https://openalex.org/I120163777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035180920","display_name":"Dan Olteanu","orcid":"https://orcid.org/0000-0002-4682-7068"},"institutions":[{"id":"https://openalex.org/I202697423","display_name":"University of Zurich","ror":"https://ror.org/02crff812","country_code":"CH","type":"education","lineage":["https://openalex.org/I202697423"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dan Olteanu","raw_affiliation_strings":["University of Zurich, Zurich, Switzerland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Zurich, Zurich, Switzerland","institution_ids":["https://openalex.org/I202697423"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.1143,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.97499212,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"18","issue":"11","first_page":"3996","last_page":"4008"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.996399998664856,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9922999739646912,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.8478000164031982},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.7702000141143799},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5896999835968018},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.5073999762535095},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.41290000081062317},{"id":"https://openalex.org/keywords/online-aggregation","display_name":"Online aggregation","score":0.4041000008583069},{"id":"https://openalex.org/keywords/boolean-conjunctive-query","display_name":"Boolean conjunctive query","score":0.37400001287460327},{"id":"https://openalex.org/keywords/conjunctive-query","display_name":"Conjunctive query","score":0.34540000557899475}],"concepts":[{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.8478000164031982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7972999811172485},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.7702000141143799},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5896999835968018},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.5073999762535095},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.47049999237060547},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45489999651908875},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.41290000081062317},{"id":"https://openalex.org/C24028149","wikidata":"https://www.wikidata.org/wiki/Q7094056","display_name":"Online aggregation","level":5,"score":0.4041000008583069},{"id":"https://openalex.org/C24755975","wikidata":"https://www.wikidata.org/wiki/Q4943354","display_name":"Boolean conjunctive query","level":5,"score":0.37400001287460327},{"id":"https://openalex.org/C65647387","wikidata":"https://www.wikidata.org/wiki/Q1781706","display_name":"Conjunctive query","level":3,"score":0.34540000557899475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3310999870300293},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.3188999891281128},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3116999864578247},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.3095000088214874},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.28790000081062317},{"id":"https://openalex.org/C192028432","wikidata":"https://www.wikidata.org/wiki/Q845739","display_name":"Query language","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2777000069618225},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.2574999928474426},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.2556999921798706}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/3749646.3749670","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3749646.3749670","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"},{"id":"doi:10.5167/uzh-433765","is_oa":true,"landing_page_url":"https://doi.org/10.5167/uzh-433765","pdf_url":null,"source":{"id":"https://openalex.org/S7407051291","display_name":"Universit\u00e4t Z\u00fcrich, ZORA","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":""}],"best_oa_location":{"id":"doi:10.5167/uzh-433765","is_oa":true,"landing_page_url":"https://doi.org/10.5167/uzh-433765","pdf_url":null,"source":{"id":"https://openalex.org/S7407051291","display_name":"Universit\u00e4t Z\u00fcrich, ZORA","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":""},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W333550619","https://openalex.org/W1973342538","https://openalex.org/W2110635115","https://openalex.org/W2124026371","https://openalex.org/W2128438887","https://openalex.org/W2143102052","https://openalex.org/W2153074847","https://openalex.org/W2167541073","https://openalex.org/W2789980099","https://openalex.org/W2809704540","https://openalex.org/W2889523940","https://openalex.org/W2936689511","https://openalex.org/W3032533205","https://openalex.org/W3190148614","https://openalex.org/W3197758686","https://openalex.org/W3206048862","https://openalex.org/W4206031975","https://openalex.org/W4221144063","https://openalex.org/W4232841423","https://openalex.org/W4281870828","https://openalex.org/W4285606919","https://openalex.org/W4385768361","https://openalex.org/W4393212300","https://openalex.org/W4396892701","https://openalex.org/W4396893071","https://openalex.org/W4399174461","https://openalex.org/W4403792776","https://openalex.org/W4414041300"],"related_works":["https://openalex.org/W2035546108","https://openalex.org/W2384605597","https://openalex.org/W2376361520","https://openalex.org/W2133328864","https://openalex.org/W2093949997","https://openalex.org/W2570200690","https://openalex.org/W2389726244","https://openalex.org/W3030478661","https://openalex.org/W2323536476","https://openalex.org/W2104624653"],"abstract_inverted_index":{"In":[0,28],"this":[1],"paper,":[2],"we":[3],"introduce":[4],"a":[5,130],"novel":[6,53],"approach":[7,44,139],"to":[8,15,30,86,94,112,142],"computing":[9],"the":[10,16,19,23,41,64,76,83,87,96,106,109,114,120,150],"contribution":[11,85,97],"of":[12,18,98,100,108,116,126,145],"input":[13,80],"tuples":[14,81,118],"result":[17],"query,":[20],"quantified":[21],"by":[22],"Banzhaf":[24],"and":[25,61,156],"Shapley":[26],"values.":[27],"contrast":[29],"prior":[31],"algorithmic":[32],"work":[33],"that":[34,55,78,137,157],"focuses":[35],"on":[36,51],"Select-Project-Join-Union":[37],"queries,":[38],"ours":[39],"is":[40,92,159],"first":[42,73],"practical":[43,160],"for":[45,58,68,124,152,161],"queries":[46,69,153],"with":[47,119,129],"aggregates.":[48,71],"It":[49],"relies":[50],"two":[52],"optimizations":[54],"are":[56],"essential":[57],"its":[59],"practicality":[60],"significantly":[62],"improve":[63],"runtime":[65,147],"performance":[66],"already":[67],"without":[70,154],"The":[72,102],"optimization":[74,104],"exploits":[75],"observation":[77],"many":[79],"have":[82],"same":[84,121],"query":[88,110],"result,":[89],"so":[90],"it":[91,158],"enough":[93],"compute":[95,113],"one":[99,125],"them.":[101,127],"second":[103],"uses":[105],"gradient":[107],"lineage":[111],"contributions":[115],"all":[117],"complexity":[122],"as":[123],"Experiments":[128],"million":[131],"instances":[132],"over":[133,149],"3":[134,143],"databases":[135],"show":[136],"our":[138],"achieves":[140],"up":[141],"orders":[144],"magnitude":[146],"improvements":[148],"state-of-the-art":[151],"aggregates,":[155],"aggregate":[162],"queries.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
