{"id":"https://openalex.org/W2027388991","doi":"https://doi.org/10.1145/2745754.2745771","title":"Querying Big Data by Accessing Small Data","display_name":"Querying Big Data by Accessing Small Data","publication_year":2015,"publication_date":"2015-05-20","ids":{"openalex":"https://openalex.org/W2027388991","doi":"https://doi.org/10.1145/2745754.2745771","mag":"2027388991"},"language":"en","primary_location":{"id":"doi:10.1145/2745754.2745771","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2745754.2745771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI  Symposium on Principles of Database Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.research.ed.ac.uk/en/publications/9c0f5753-9082-4e4f-9af3-2ce5f3ce47e5","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070565287","display_name":"Wenfei Fan","orcid":"https://orcid.org/0000-0001-5149-2656"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Wenfei Fan","raw_affiliation_strings":["University of Edinburgh, Edinburgh, United Kingdom","University of Edinburgh, edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"University of Edinburgh, edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087587379","display_name":"Floris Geerts","orcid":"https://orcid.org/0000-0002-8967-2473"},"institutions":[{"id":"https://openalex.org/I149213910","display_name":"University of Antwerp","ror":"https://ror.org/008x57b05","country_code":"BE","type":"education","lineage":["https://openalex.org/I149213910"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Floris Geerts","raw_affiliation_strings":["University of Antwerp, Antwerpen, Belgium"],"affiliations":[{"raw_affiliation_string":"University of Antwerp, Antwerpen, Belgium","institution_ids":["https://openalex.org/I149213910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101426208","display_name":"Yang Cao","orcid":"https://orcid.org/0000-0001-7984-3219"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yang Cao","raw_affiliation_strings":["University of Edinburgh, Edinburgh, United Kingdom","University of Edinburgh, edinburgh, United Kingdom"],"affiliations":[{"raw_affiliation_string":"University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"University of Edinburgh, edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100902446","display_name":"Ting Deng","orcid":"https://orcid.org/0000-0001-6189-5897"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Deng","raw_affiliation_strings":["Beihang University, Beijing, China","BeiHang University, BeiJing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"BeiHang University, BeiJing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013499387","display_name":"Ping L\u00fc","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Lu","raw_affiliation_strings":["Beihang University, Beijing, China","BeiHang University, BeiJing, China"],"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"BeiHang University, BeiJing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5070565287"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":8.4124,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.98167919,"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":"173","last_page":"184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10720","display_name":"Complexity and Algorithms in Graphs","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.9973000288009644,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9955999851226807,"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/decidability","display_name":"Decidability","score":0.9026100635528564},{"id":"https://openalex.org/keywords/undecidable-problem","display_name":"Undecidable problem","score":0.9005883932113647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7641762495040894},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.6151347756385803},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6083081960678101},{"id":"https://openalex.org/keywords/syntax","display_name":"Syntax","score":0.5459191203117371},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3593553900718689},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.18519940972328186},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16870149970054626},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14014467597007751}],"concepts":[{"id":"https://openalex.org/C153269930","wikidata":"https://www.wikidata.org/wiki/Q430001","display_name":"Decidability","level":2,"score":0.9026100635528564},{"id":"https://openalex.org/C192034797","wikidata":"https://www.wikidata.org/wiki/Q3502995","display_name":"Undecidable problem","level":3,"score":0.9005883932113647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7641762495040894},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.6151347756385803},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6083081960678101},{"id":"https://openalex.org/C60048249","wikidata":"https://www.wikidata.org/wiki/Q37437","display_name":"Syntax","level":2,"score":0.5459191203117371},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3593553900718689},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.18519940972328186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16870149970054626},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14014467597007751},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2745754.2745771","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2745754.2745771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI  Symposium on Principles of Database Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.ed.ac.uk:openaire/9c0f5753-9082-4e4f-9af3-2ce5f3ce47e5","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/9c0f5753-9082-4e4f-9af3-2ce5f3ce47e5","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fan, W, Geerts, F, Cao, Y, Deng, T & Lu, P 2015, Querying Big Data by Accessing Small Data. in Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. New York, NY, USA, pp. 173-184, 34th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, Melbourne, Victoria, Australia, 31/05/15. https://doi.org/10.1145/2745754.2745771","raw_type":"contributionToPeriodical"},{"id":"pmh:oai:pure.ed.ac.uk:publications/9c0f5753-9082-4e4f-9af3-2ce5f3ce47e5","is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11820/9c0f5753-9082-4e4f-9af3-2ce5f3ce47e5","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:pure.ed.ac.uk:openaire/9c0f5753-9082-4e4f-9af3-2ce5f3ce47e5","is_oa":true,"landing_page_url":"https://www.research.ed.ac.uk/en/publications/9c0f5753-9082-4e4f-9af3-2ce5f3ce47e5","pdf_url":null,"source":{"id":"https://openalex.org/S4406922455","display_name":"Edinburgh Research Explorer","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fan, W, Geerts, F, Cao, Y, Deng, T & Lu, P 2015, Querying Big Data by Accessing Small Data. in Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems. New York, NY, USA, pp. 173-184, 34th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, Melbourne, Victoria, Australia, 31/05/15. https://doi.org/10.1145/2745754.2745771","raw_type":"contributionToPeriodical"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3649347000","display_name":null,"funder_award_id":"EP/J015377/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8400180575","display_name":null,"funder_award_id":"EP/M025268/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W30535136","https://openalex.org/W1244395945","https://openalex.org/W1494494069","https://openalex.org/W1495576170","https://openalex.org/W1513069967","https://openalex.org/W1519488646","https://openalex.org/W1525887080","https://openalex.org/W1529925365","https://openalex.org/W1539590661","https://openalex.org/W1558832481","https://openalex.org/W1574851546","https://openalex.org/W1608079674","https://openalex.org/W1784244685","https://openalex.org/W1802083805","https://openalex.org/W1822348499","https://openalex.org/W1969276117","https://openalex.org/W1975906698","https://openalex.org/W1979514837","https://openalex.org/W1998244781","https://openalex.org/W2002791618","https://openalex.org/W2008552727","https://openalex.org/W2010308380","https://openalex.org/W2013069866","https://openalex.org/W2013112375","https://openalex.org/W2023472553","https://openalex.org/W2026102093","https://openalex.org/W2028864278","https://openalex.org/W2031639195","https://openalex.org/W2037701287","https://openalex.org/W2041961594","https://openalex.org/W2051192787","https://openalex.org/W2053916312","https://openalex.org/W2056660085","https://openalex.org/W2065251436","https://openalex.org/W2071989194","https://openalex.org/W2078242294","https://openalex.org/W2099683594","https://openalex.org/W2101571534","https://openalex.org/W2104525376","https://openalex.org/W2112842248","https://openalex.org/W2114883263","https://openalex.org/W2118720580","https://openalex.org/W2122731071","https://openalex.org/W2123966888","https://openalex.org/W2163316275","https://openalex.org/W2164743697","https://openalex.org/W2199551564","https://openalex.org/W2245727685","https://openalex.org/W2273520993","https://openalex.org/W2405692598","https://openalex.org/W2601948630","https://openalex.org/W2764612181","https://openalex.org/W2867842142","https://openalex.org/W2963511602","https://openalex.org/W4234667859"],"related_works":["https://openalex.org/W2972379433","https://openalex.org/W1501430220","https://openalex.org/W2989332944","https://openalex.org/W2021891065","https://openalex.org/W2583549044","https://openalex.org/W2119045600","https://openalex.org/W2584984136","https://openalex.org/W2962928105","https://openalex.org/W2170336571","https://openalex.org/W2020140696"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,15,35,61],"feasibility":[4],"of":[5,14,25,58],"querying":[6],"big":[7],"data":[8],"by":[9,34],"accessing":[10],"a":[11,23],"bounded":[12,62],"amount":[13],"data.":[16],"We":[17,67],"study":[18],"boundedly":[19,50,76],"evaluable":[20,77],"queries":[21,36,48],"under":[22],"form":[24],"access":[26],"constraints,":[27],"when":[28],"their":[29,75],"evaluation":[30],"cost":[31],"is":[32,42,65],"determined":[33],"and":[37,71],"constraints":[38],"only.":[39],"While":[40],"it":[41],"undecidable":[43],"to":[44],"determine":[45],"whether":[46],"FO":[47,59],"are":[49],"evaluable,":[51],"we":[52],"show":[53],"that":[54],"for":[55,74],"several":[56],"classes":[57],"queries,":[60],"evaluability":[63],"problem":[64],"decidable.":[66],"also":[68],"provide":[69],"characterization":[70],"effective":[72],"syntax":[73],"queries.":[78]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":8},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}