{"id":"https://openalex.org/W2105326258","doi":"https://doi.org/10.1145/375663.375692","title":"Query optimization in compressed database systems","display_name":"Query optimization in compressed database systems","publication_year":2001,"publication_date":"2001-05-01","ids":{"openalex":"https://openalex.org/W2105326258","doi":"https://doi.org/10.1145/375663.375692","mag":"2105326258"},"language":"en","primary_location":{"id":"doi:10.1145/375663.375692","doi":"https://doi.org/10.1145/375663.375692","is_oa":false,"landing_page_url":"https://doi.org/10.1145/375663.375692","pdf_url":null,"source":{"id":"https://openalex.org/S4393915683","display_name":"ACM SIGMOD International Conference on Management of Data (SIGMOD)","issn_l":"0730-8078","issn":["0730-8078"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2001 ACM SIGMOD international conference on Management of data","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5100438515","display_name":"Zhiyuan Chen","orcid":"https://orcid.org/0000-0002-6984-7248","observed_orcids":["https://orcid.org/0000-0002-6984-7248","https://orcid.org/0009-0001-9104-9138"]},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhiyuan Chen","raw_affiliation_strings":["Cornell University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023537206","display_name":"Johannes E. Gehrke","orcid":"https://orcid.org/0009-0006-6293-5209","observed_orcids":["https://orcid.org/0009-0006-6293-5209"]},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Johannes Gehrke","raw_affiliation_strings":["Cornell University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110197814","display_name":"Flip R. Korn","orcid":"https://orcid.org/0000-0002-4689-3225","observed_orcids":["https://orcid.org/0000-0002-4689-3225"]},"institutions":[{"id":"https://openalex.org/I1283103587","display_name":"AT&T (United States)","ror":"https://ror.org/02bbd5539","country_code":"US","type":"company","lineage":["https://openalex.org/I1283103587"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Flip Korn","raw_affiliation_strings":["AT&T Labs-Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AT&T Labs-Research","institution_ids":["https://openalex.org/I1283103587"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.2263,"has_fulltext":false,"cited_by_count":127,"citation_normalized_percentile":{"value":0.91789962,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9726999998092651,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.025699999183416367,"subfield":{"id":"https://openalex.org/subfields/2614","display_name":"Theoretical Computer Science"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.0003000000142492354,"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/query-optimization","display_name":"query optimization","score":0.9850000143051147},{"id":"https://openalex.org/keywords/data-compression","display_name":"data compression","score":0.699999988079071},{"id":"https://openalex.org/keywords/query-optimizer","display_name":"query optimizer","score":0.6110000014305115},{"id":"https://openalex.org/keywords/main-memory","display_name":"main memory","score":0.7229999899864197},{"id":"https://openalex.org/keywords/disk-access","display_name":"disk access","score":0.6930000185966492},{"id":"https://openalex.org/keywords/relational-databases","display_name":"relational databases","score":0.7300000190734863}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8750193119049072},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.6388458013534546},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5453374981880188},{"id":"https://openalex.org/C5655090","wikidata":"https://www.wikidata.org/wiki/Q192588","display_name":"Relational database","level":2,"score":0.5385751128196716},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.5287852883338928},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5241963267326355},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5215442180633545},{"id":"https://openalex.org/C54239708","wikidata":"https://www.wikidata.org/wiki/Q1329910","display_name":"View","level":3,"score":0.4935094118118286},{"id":"https://openalex.org/C82687282","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Auxiliary memory","level":2,"score":0.4783046841621399},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.474739134311676},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.45802435278892517},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3430216610431671},{"id":"https://openalex.org/C148840519","wikidata":"https://www.wikidata.org/wiki/Q1049878","display_name":"Database design","level":2,"score":0.3288722336292267},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3267002999782562},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1483692228794098},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.139875590801239},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.09008407592773438},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/375663.375692","doi":"https://doi.org/10.1145/375663.375692","is_oa":false,"landing_page_url":"https://doi.org/10.1145/375663.375692","pdf_url":null,"source":{"id":"https://openalex.org/S4393915683","display_name":"ACM SIGMOD International Conference on Management of Data (SIGMOD)","issn_l":"0730-8078","issn":["0730-8078"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2001 ACM SIGMOD international conference on Management of data","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.22.6376","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.6376","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.cornell.edu/johannes/papers/2001/sigmod2001-compression.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W21419474","https://openalex.org/W199686152","https://openalex.org/W1506170043","https://openalex.org/W1558322811","https://openalex.org/W1561200998","https://openalex.org/W1570477871","https://openalex.org/W1577769509","https://openalex.org/W1600355623","https://openalex.org/W1846198342","https://openalex.org/W1854770132","https://openalex.org/W1990653637","https://openalex.org/W1993819379","https://openalex.org/W2020646533","https://openalex.org/W2056007277","https://openalex.org/W2060108852","https://openalex.org/W2077770566","https://openalex.org/W2079992169","https://openalex.org/W2084812512","https://openalex.org/W2107745473","https://openalex.org/W2108392934","https://openalex.org/W2122315991","https://openalex.org/W2129652681","https://openalex.org/W2144361113","https://openalex.org/W2153329411","https://openalex.org/W2156000104","https://openalex.org/W2160967997","https://openalex.org/W2161628678","https://openalex.org/W2167911783","https://openalex.org/W2202508117","https://openalex.org/W2341510490","https://openalex.org/W2621280964","https://openalex.org/W4206278179","https://openalex.org/W4235095233","https://openalex.org/W4252571323","https://openalex.org/W6684678086"],"related_works":["https://openalex.org/W7095815200","https://openalex.org/W2737624592","https://openalex.org/W2167911783","https://openalex.org/W21419474","https://openalex.org/W1993819379","https://openalex.org/W2129509514","https://openalex.org/W2098315581","https://openalex.org/W2051344239","https://openalex.org/W2123686039","https://openalex.org/W2008380413"],"abstract_inverted_index":{"Over":[0],"the":[1,23,31,39,56,80,85,88],"last":[2],"decades,":[3],"improvements":[4,10],"in":[5,11,50,61,73,111],"CPU":[6],"speed":[7],"have":[8],"outpaced":[9],"main":[12,104,112],"memory":[13,113],"and":[14,114],"disk":[15],"access":[16],"rates":[17],"by":[18],"orders":[19],"of":[20,25,33,41,58,79,87],"magnitude,":[21],"enabling":[22],"use":[24],"data":[26,47,94,107],"compression":[27,42,69],"techniques":[28],"to":[29],"improve":[30],"performance":[32],"database":[34,75],"systems.":[35],"Previous":[36],"work":[37,67,82],"describes":[38],"benefits":[40],"for":[43,70],"numerical":[44],"attributes,":[45],"where":[46],"is":[48,65,95,101,115],"stored":[49],"compressed":[51,110],"format":[52],"on":[53,68,117],"disk.":[54],"Despite":[55],"abundance":[57],"string-valued":[59],"attributes":[60,72],"relational":[62],"schemas":[63],"there":[64],"little":[66],"string":[71],"a":[74],"context.":[76],"Moreover,":[77],"none":[78],"previous":[81],"suitably":[83],"addresses":[84],"role":[86],"query":[89,92],"optimizer:":[90],"During":[91],"execution,":[93],"either":[96],"eagerly":[97],"decompressed":[98,116],"when":[99],"it":[100],"read":[102],"into":[103],"memory,":[105],"or":[106],"lazily":[108],"stays":[109],"demand":[118],"only":[119]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}