{"id":"https://openalex.org/W2955854020","doi":"https://doi.org/10.1145/3331184.3331297","title":"Multiple Query Processing via Logic Function Factoring","display_name":"Multiple Query Processing via Logic Function Factoring","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2955854020","doi":"https://doi.org/10.1145/3331184.3331297","mag":"2955854020"},"language":"en","primary_location":{"id":"doi:10.1145/3331184.3331297","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5072769219","display_name":"Matteo Catena","orcid":"https://orcid.org/0000-0002-5571-8269"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Matteo Catena","raw_affiliation_strings":["ISTI-CNR, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISTI-CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018894843","display_name":"Nicola Tonellotto","orcid":"https://orcid.org/0000-0002-7427-1001"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Tonellotto","raw_affiliation_strings":["ISTI-CNR, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISTI-CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I122991210"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"937","last_page":"940"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9994000196456909,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9977999925613403,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9968000054359436,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/factoring","display_name":"Factoring","score":0.848359227180481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7442256212234497},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4901629388332367},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.45214563608169556},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36736249923706055}],"concepts":[{"id":"https://openalex.org/C177225278","wikidata":"https://www.wikidata.org/wiki/Q192674","display_name":"Factoring","level":2,"score":0.848359227180481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7442256212234497},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4901629388332367},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.45214563608169556},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36736249923706055},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","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/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3331184.3331297","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331297","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1014130","is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?id=3331184","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:dnet:people______::dc3326d4055279fa61d8c717ba49e3fb","is_oa":false,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::dc3326d4055279fa61d8c717ba49e3fb","pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 937\u2013940, Parigi, Francia, 21-25 July, 2019","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1967907280","https://openalex.org/W2024668218","https://openalex.org/W2388783363","https://openalex.org/W2740121459","https://openalex.org/W2740342782","https://openalex.org/W2906131295","https://openalex.org/W4213009331","https://openalex.org/W4289100329"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2377710379","https://openalex.org/W2947911821","https://openalex.org/W2393473966","https://openalex.org/W2260256814","https://openalex.org/W2944757884","https://openalex.org/W2997214518","https://openalex.org/W2963853167","https://openalex.org/W2366592368","https://openalex.org/W2594575493"],"abstract_inverted_index":{"Some":[0],"extensions":[1],"to":[2,36,42,66,73,80,107,112,126,149],"search":[3],"systems":[4],"require":[5],"support":[6],"for":[7],"multiple":[8,55,157],"query":[9,16,20,48,56,71,91,101,129,158],"processing.":[10],"This":[11],"is":[12,124],"the":[13,23,47,54,68,81,128,136,151],"case":[14],"with":[15,159],"variations,":[17],"i.e.,":[18],"different":[19],"formulations":[21],"of":[22,29,70,90,155,166],"same":[24],"information":[25],"need.":[26],"The":[27,121],"results":[28],"their":[30,75],"processing":[31,57,69,153],"can":[32,145],"be":[33],"fused":[34],"together":[35],"improve":[37,146],"effectiveness,":[38],"but":[39,117],"this":[40,60],"requires":[41],"traverse":[43],"more":[44,115],"than":[45],"once":[46],"terms'":[49],"posting":[50],"lists,":[51],"thus":[52],"prolonging":[53],"time.":[58,78],"In":[59],"work,":[61],"we":[62,85],"propose":[63],"an":[64],"approach":[65,144],"optimize":[67],"variations":[72,92,130],"reduce":[74],"overall":[76],"response":[77],"Similarly":[79],"standard":[82],"Boolean":[83,98],"model,":[84],"firstly":[86],"represent":[87,100],"a":[88,94,114,132,156],"group":[89],"as":[93],"logic":[95],"function":[96],"where":[97],"variables":[99],"terms.":[102],"We":[103,139],"then":[104],"apply":[105],"factoring":[106],"such":[108],"function,":[109],"in":[110,131,164],"order":[111],"produce":[113],"compact":[116],"logically":[118],"equivalent":[119],"representation.":[120],"factored":[122],"form":[123],"used":[125],"process":[127],"single":[133],"pass":[134],"over":[135],"inverted":[137],"index.":[138],"experimentally":[140],"show":[141],"that":[142],"our":[143],"by":[147],"up":[148],"1.95\u00d7":[150],"mean":[152],"time":[154],"no":[160],"statistically":[161],"significant":[162],"degradation":[163],"terms":[165],"[email":[167],"protected]":[168]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2019-07-12T00:00:00"}