{"id":"https://openalex.org/W2137083644","doi":"https://doi.org/10.1109/icde.2002.994710","title":"GADT: a probability space ADT for representing and querying the physical world","display_name":"GADT: a probability space ADT for representing and querying the physical world","publication_year":2003,"publication_date":"2003-06-25","ids":{"openalex":"https://openalex.org/W2137083644","doi":"https://doi.org/10.1109/icde.2002.994710","mag":"2137083644"},"language":"en","primary_location":{"id":"doi:10.1109/icde.2002.994710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2002.994710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 18th International Conference on Data Engineering","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://researchprofiles.ku.dk/da/publications/9dbd9bb0-74c5-11db-bee9-02004c4f4f50","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5074431661","display_name":"Anton K. Faradjian","orcid":null},"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":true,"raw_author_name":"A. Faradjian","raw_affiliation_strings":["Department of Computer Science, Cornell University, USA","[Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA]"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"[Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA]","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023537206","display_name":"Johannes Gehrke","orcid":"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":"J. Gehrke","raw_affiliation_strings":["Department of Computer Science, Cornell University, USA","Cornell University"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Cornell University, USA","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Cornell University","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079584430","display_name":"Philippe Bonnet","orcid":"https://orcid.org/0000-0002-0234-5374"},"institutions":[{"id":"https://openalex.org/I124055696","display_name":"University of Copenhagen","ror":"https://ror.org/035b05819","country_code":"DK","type":"education","lineage":["https://openalex.org/I124055696"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"P. Bonnett","raw_affiliation_strings":["Datalogisk Institut K\u00f8benhavns Universitet"],"affiliations":[{"raw_affiliation_string":"Datalogisk Institut K\u00f8benhavns Universitet","institution_ids":["https://openalex.org/I124055696"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5074431661"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":5.037,"has_fulltext":true,"cited_by_count":78,"citation_normalized_percentile":{"value":0.96240814,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"201","last_page":"211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9983999729156494,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9883000254631042,"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":0.7150319814682007},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6749553680419922},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.654716432094574},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.6371793746948242},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5767200589179993},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5347650647163391},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.49158939719200134},{"id":"https://openalex.org/keywords/physical-space","display_name":"Physical space","score":0.4577043056488037},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.41564685106277466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2373453974723816},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12684747576713562},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09899163246154785}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7150319814682007},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6749553680419922},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.654716432094574},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.6371793746948242},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5767200589179993},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5347650647163391},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.49158939719200134},{"id":"https://openalex.org/C2982717780","wikidata":"https://www.wikidata.org/wiki/Q107","display_name":"Physical space","level":2,"score":0.4577043056488037},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.41564685106277466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2373453974723816},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12684747576713562},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09899163246154785},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/icde.2002.994710","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icde.2002.994710","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 18th International Conference on Data Engineering","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.19.8847","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.19.8847","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/2002/icde2002-gadt.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.520.4395","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.520.4395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://graphics.stanford.edu/courses/cs428-03-spring/Papers/readings/DataBases/Gehrke-GADT-AProbabilitySpaceADTForRepresentingAndQueryingThePhysicalWorld_ICDE2002.pdf","raw_type":"text"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/9dbd9bb0-74c5-11db-bee9-02004c4f4f50","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/9dbd9bb0-74c5-11db-bee9-02004c4f4f50","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faradjian , A , Gehrke , J & Bonnet , P 2002 , ' GADT : A Probability Space ADT For Representing and Querying the Physical World ' , Proceeding of ICDE 2002 , no. 0 , pp. 201-211 . https://doi.org/10.1109/ICDE.2002.994710","raw_type":"article"},{"id":"pmh:oai:pure.atira.dk:publications/9dbd9bb0-74c5-11db-bee9-02004c4f4f50","is_oa":false,"landing_page_url":"https://curis.ku.dk/portal/da/publications/gadt-a-probability-space-adt-for-representing-and-querying-the-physical-world(9dbd9bb0-74c5-11db-bee9-02004c4f4f50).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/9dbd9bb0-74c5-11db-bee9-02004c4f4f50","is_oa":true,"landing_page_url":"https://researchprofiles.ku.dk/da/publications/9dbd9bb0-74c5-11db-bee9-02004c4f4f50","pdf_url":null,"source":{"id":"https://openalex.org/S4306401983","display_name":"Research at the University of Copenhagen (University of Copenhagen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I124055696","host_organization_name":"University of Copenhagen","host_organization_lineage":["https://openalex.org/I124055696"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Faradjian , A , Gehrke , J & Bonnet , P 2002 , ' GADT : A Probability Space ADT For Representing and Querying the Physical World ' , Proceeding of ICDE 2002 , no. 0 , pp. 201-211 . https://doi.org/10.1109/ICDE.2002.994710","raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W193000491","https://openalex.org/W1570082825","https://openalex.org/W1637025029","https://openalex.org/W1716383435","https://openalex.org/W1981006799","https://openalex.org/W1990391007","https://openalex.org/W1997884498","https://openalex.org/W2003017562","https://openalex.org/W2017978889","https://openalex.org/W2024400846","https://openalex.org/W2045028348","https://openalex.org/W2050171146","https://openalex.org/W2056099894","https://openalex.org/W2074686120","https://openalex.org/W2085988990","https://openalex.org/W2096703709","https://openalex.org/W2098115979","https://openalex.org/W2103343882","https://openalex.org/W2104564842","https://openalex.org/W2112173025","https://openalex.org/W2115822498","https://openalex.org/W2125791539","https://openalex.org/W2152825128","https://openalex.org/W2170468103","https://openalex.org/W2171998198","https://openalex.org/W2485089179","https://openalex.org/W2751862591","https://openalex.org/W3022995300","https://openalex.org/W4231136686","https://openalex.org/W4245777329","https://openalex.org/W4301441647","https://openalex.org/W6637786328"],"related_works":["https://openalex.org/W2893341095","https://openalex.org/W4241043257","https://openalex.org/W1990418105","https://openalex.org/W1964286703","https://openalex.org/W1971430736","https://openalex.org/W4242391381","https://openalex.org/W1980528650","https://openalex.org/W2169866437","https://openalex.org/W4249885815","https://openalex.org/W3199393239"],"abstract_inverted_index":{"Large":[0],"sensor":[1],"networks":[2],"are":[3,36],"being":[4],"widely":[5],"deployed":[6],"for":[7,81],"measurement,":[8],"detection":[9],"and":[10,22,67,93],"monitoring":[11],"applications.":[12],"Many":[13],"of":[14,90],"these":[15],"applications":[16],"involve":[17],"database":[18],"systems":[19],"to":[20],"store":[21],"process":[23],"data":[24,30,51,63,92],"from":[25],"the":[26,55],"physical":[27,62],"world.":[28],"This":[29],"has":[31],"inherent":[32],"measurement":[33],"uncertainties":[34],"that":[35,60,70],"properly":[37],"represented":[38],"by":[39],"continuous":[40],"probability":[41],"distribution":[42],"functions":[43],"(PDFs).":[44],"We":[45,84],"introduce":[46],"a":[47,87],"new":[48],"object-relational":[49],"abstract":[50],"type":[52],"(ADT)":[53],"-":[54,59],"Gaussian":[56,65],"ADT":[57],"(GADT)":[58],"models":[61],"as":[64,77],"PDFs,":[66],"we":[68],"show":[69],"existing":[71],"index":[72],"structures":[73],"can":[74],"be":[75],"used":[76],"fast":[78],"access":[79],"methods":[80],"GADT":[82,95],"data.":[83],"also":[85],"present":[86],"measurement-theoretic":[88],"model":[89],"probabilistic":[91],"evaluate":[94],"in":[96],"its":[97],"light.":[98]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":8}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}