{"id":"https://openalex.org/W2962896117","doi":"https://doi.org/10.4230/lipics.icdt.2019.21","title":"Boolean Tensor Decomposition for Conjunctive Queries with Negation","display_name":"Boolean Tensor Decomposition for Conjunctive Queries with Negation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2962896117","doi":"https://doi.org/10.4230/lipics.icdt.2019.21","mag":"2962896117"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.4230/LIPIcs.ICDT.2019.21","pdf_url":null,"source":{"id":"https://openalex.org/S4306419319","display_name":"International Conference on Database Theory","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":[],"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/A5034538466","display_name":"Mahmoud Abo Khamis","orcid":"https://orcid.org/0000-0003-3894-6494"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mahmoud Abo Khamis","raw_affiliation_strings":["University at Buffalo, State University of New York, Buffalo, United States"],"affiliations":[{"raw_affiliation_string":"University at Buffalo, State University of New York, Buffalo, United States","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062573204","display_name":"Hung Q. Ngo","orcid":"https://orcid.org/0000-0001-8246-8392"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hung Q. Ngo","raw_affiliation_strings":["University at Buffalo, State University of New York, Buffalo, United States"],"affiliations":[{"raw_affiliation_string":"University at Buffalo, State University of New York, Buffalo, United States","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035180920","display_name":"Dan Olteanu","orcid":"https://orcid.org/0000-0002-4682-7068"},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dan Olteanu","raw_affiliation_strings":["University of Oxford, Oxford, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Oxford, Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048204602","display_name":"Dan Suciu","orcid":"https://orcid.org/0000-0002-4144-0868"},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Suciu","raw_affiliation_strings":["University of Washington, Seattle, United States"],"affiliations":[{"raw_affiliation_string":"University of Washington, Seattle, United States","institution_ids":["https://openalex.org/I201448701"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.96,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.999908,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":91},"biblio":{"volume":"127","issue":null,"first_page":"19","last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9971,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9971,"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/T11321","display_name":"Error Correcting Code Techniques","score":0.9913,"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":0.9901,"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/conjunctive-query","display_name":"Conjunctive query","score":0.8774017},{"id":"https://openalex.org/keywords/negation","display_name":"Negation","score":0.7020904},{"id":"https://openalex.org/keywords/hyperbolic-tree","display_name":"Hyperbolic tree","score":0.53487825},{"id":"https://openalex.org/keywords/submodular-set-function","display_name":"Submodular set function","score":0.5174604},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.46532342},{"id":"https://openalex.org/keywords/boolean-conjunctive-query","display_name":"Boolean conjunctive query","score":0.46442285},{"id":"https://openalex.org/keywords/conjunctive-normal-form","display_name":"Conjunctive normal form","score":0.41504472}],"concepts":[{"id":"https://openalex.org/C65647387","wikidata":"https://www.wikidata.org/wiki/Q1781706","display_name":"Conjunctive query","level":3,"score":0.8774017},{"id":"https://openalex.org/C2185349","wikidata":"https://www.wikidata.org/wiki/Q190558","display_name":"Negation","level":2,"score":0.7020904},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.57584614},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5713591},{"id":"https://openalex.org/C97654310","wikidata":"https://www.wikidata.org/wiki/Q574023","display_name":"Hyperbolic tree","level":4,"score":0.53487825},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5316848},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.5174604},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.46532342},{"id":"https://openalex.org/C24755975","wikidata":"https://www.wikidata.org/wiki/Q4943354","display_name":"Boolean conjunctive query","level":5,"score":0.46442285},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45040944},{"id":"https://openalex.org/C16221470","wikidata":"https://www.wikidata.org/wiki/Q846564","display_name":"Conjunctive normal form","level":2,"score":0.41504472},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.41039395},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.40211123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3704896},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.27748656},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.19058996},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1784046},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.16245034},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.116657704},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.087902725},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.0},{"id":"https://openalex.org/C206352148","wikidata":"https://www.wikidata.org/wiki/Q209306","display_name":"Hyperbolic geometry","level":3,"score":0.0},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C192939610","wikidata":"https://www.wikidata.org/wiki/Q188444","display_name":"Differential geometry","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.4230/LIPIcs.ICDT.2019.21","pdf_url":null,"source":{"id":"https://openalex.org/S4306419319","display_name":"International Conference on Database Theory","issn_l":null,"issn":null,"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":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W52840101","https://openalex.org/W2963560792","https://openalex.org/W2962991166","https://openalex.org/W2906408488","https://openalex.org/W2790840297","https://openalex.org/W2604519798","https://openalex.org/W2585424461","https://openalex.org/W2548695101","https://openalex.org/W2536131596","https://openalex.org/W2423871547","https://openalex.org/W2401576518","https://openalex.org/W2284514301","https://openalex.org/W2161956202","https://openalex.org/W2146492010","https://openalex.org/W2143238590","https://openalex.org/W2100859936","https://openalex.org/W2050100848","https://openalex.org/W2032775418","https://openalex.org/W2028659807","https://openalex.org/W1579803282"],"abstract_inverted_index":{"We":[0,93,120],"propose":[1],"an":[2],"approach":[3,88],"for":[4,28,83],"answering":[5],"conjunctive":[6,106],"queries":[7,98,107],"with":[8,99,108],"negation,":[9],"where":[10],"the":[11,23,29,33,42,47,56,59,70,123],"negated":[12,62,77],"relations":[13,78,103],"have":[14],"bounded":[15],"degree.":[16],"Its":[17,51],"data":[18],"complexity":[19,53],"matches":[20],"that":[21,154],"of":[22,32,41,58,61,72,86,117,129,140,142],"InsideOut":[24],"and":[25,36,46,132],"PANDA":[26],"algorithms":[27],"positive":[30],"subquery":[31],"input":[34],"query":[35,52],"is":[37,67],"expressed":[38],"in":[39,64,69,76],"terms":[40],"fractional":[43],"hypertree":[44],"width":[45,49],"submodular":[48],"respectively.":[50],"depends":[54],"on":[55,90,101],"structure":[57],"conjunction":[60],"relations;":[63],"general":[65],"it":[66,80,134],"exponential":[68],"number":[71],"join":[73],"variables":[74],"occurring":[75],"yet":[79],"becomes":[81],"polynomial":[82],"several":[84,91],"classes":[85],"queries.\r\nThis":[87],"relies":[89],"contributions.":[92],"show":[94],"how":[95],"to":[96,127],"rewrite":[97],"negation":[100],"bounded-degree":[102],"into":[104],"equivalent":[105],"not-all-equal":[109],"(NAE)":[110],"predicates,":[111],"which":[112],"are":[113],"a":[114,136,151],"multi-dimensional":[115],"analog":[116],"disequality":[118],"(!=).":[119],"then":[121],"generalize":[122],"known":[124],"color-coding":[125],"technique":[126],"conjunctions":[128,141],"NAE":[130,143],"predicates":[131],"explain":[133],"via":[135,150],"Boolean":[137],"tensor":[138],"decomposition":[139,146],"predicates.":[144],"This":[145],"can":[147,155],"be":[148,156],"achieved":[149],"probabilistic":[152],"construction":[153],"derandomized":[157],"efficiently.":[158]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2962896117","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-01-04T07:18:54.979830","created_date":"2019-07-30"}