{"id":"https://openalex.org/W1997810316","doi":"https://doi.org/10.1145/1071246.1071270","title":"GPAC","display_name":"GPAC","publication_year":2005,"publication_date":"2005-05-09","ids":{"openalex":"https://openalex.org/W1997810316","doi":"https://doi.org/10.1145/1071246.1071270","mag":"1997810316"},"language":"en","primary_location":{"id":"doi:10.1145/1071246.1071270","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1071246.1071270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th international conference on Mobile data management","raw_type":"proceedings-article"},"type":"article","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/A5007454642","display_name":"Mohamed F. Mokbel","orcid":"https://orcid.org/0000-0002-6686-1757"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Mohamed F. Mokbel","raw_affiliation_strings":["Purdue University, West Lafayette, IN"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000123743","display_name":"Walid G. Aref","orcid":"https://orcid.org/0000-0001-8169-7775"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Walid G. Aref","raw_affiliation_strings":["Purdue University, West Lafayette, IN"],"affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN","institution_ids":["https://openalex.org/I219193219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007454642"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":5.7226,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.96449841,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987999796867371,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9962999820709229,"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/computer-science","display_name":"Computer science","score":0.8267682194709778},{"id":"https://openalex.org/keywords/cache","display_name":"Cache","score":0.47396013140678406},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4284234941005707},{"id":"https://openalex.org/keywords/query-plan","display_name":"Query plan","score":0.4262894093990326},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4168105721473694},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3785374164581299},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34112322330474854},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.3130505084991455},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.23965734243392944},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.18848267197608948},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.18124479055404663},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.16610893607139587}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8267682194709778},{"id":"https://openalex.org/C115537543","wikidata":"https://www.wikidata.org/wiki/Q165596","display_name":"Cache","level":2,"score":0.47396013140678406},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4284234941005707},{"id":"https://openalex.org/C2779729312","wikidata":"https://www.wikidata.org/wiki/Q784232","display_name":"Query plan","level":5,"score":0.4262894093990326},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4168105721473694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3785374164581299},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34112322330474854},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.3130505084991455},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.23965734243392944},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.18848267197608948},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.18124479055404663},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.16610893607139587},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1071246.1071270","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1071246.1071270","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th international conference on Mobile data management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W125925666","https://openalex.org/W1505735352","https://openalex.org/W1516936742","https://openalex.org/W1526692684","https://openalex.org/W1544423111","https://openalex.org/W1553387542","https://openalex.org/W1593112378","https://openalex.org/W1600151528","https://openalex.org/W1646696449","https://openalex.org/W1784115556","https://openalex.org/W1817771417","https://openalex.org/W1906171242","https://openalex.org/W1922563430","https://openalex.org/W2001845525","https://openalex.org/W2058254784","https://openalex.org/W2096109431","https://openalex.org/W2101429492","https://openalex.org/W2107551853","https://openalex.org/W2116135393","https://openalex.org/W2123970045","https://openalex.org/W2125825081","https://openalex.org/W2126982545","https://openalex.org/W2127397734","https://openalex.org/W2128471644","https://openalex.org/W2131796944","https://openalex.org/W2132461362","https://openalex.org/W2133675752","https://openalex.org/W2134161546","https://openalex.org/W2136793462","https://openalex.org/W2139540256","https://openalex.org/W2142006107","https://openalex.org/W2146485383","https://openalex.org/W2149576945","https://openalex.org/W2155713641","https://openalex.org/W2161569281","https://openalex.org/W2165193650","https://openalex.org/W2166996142","https://openalex.org/W2170691805","https://openalex.org/W4206231591","https://openalex.org/W4232534713","https://openalex.org/W4285719527","https://openalex.org/W6678979270","https://openalex.org/W6679618541","https://openalex.org/W7043518102"],"related_works":["https://openalex.org/W2152099439","https://openalex.org/W1984163603","https://openalex.org/W3130422087","https://openalex.org/W3004195166","https://openalex.org/W1563139915","https://openalex.org/W2885669284","https://openalex.org/W4301184821","https://openalex.org/W2126310295","https://openalex.org/W3125756434","https://openalex.org/W185198413"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,23,31,120,126,136,140],"new":[4],"family":[5],"of":[6,33,63,129,148],"Generic":[7],"and":[8,45,90,154],"Progressive":[9,69],"algorithms":[10,50,101],"(GPAC,":[11],"for":[12,14,97,157],"short)":[13],"continuous":[15,39,42,46,130,158],"mobile":[16,19,66],"queries":[17,40,44],"over":[18],"objects.":[20],"GPAC":[21,49,100,109,149],"provides":[22],"general":[24],"skeleton":[25],"that":[26],"can":[27,112],"be":[28,113],"tuned":[29],"through":[30,59,71,81],"set":[32],"methods":[34],"to":[35,52,95,124],"behave":[36],"as":[37],"various":[38],"(e.g.,":[41],"range":[43],"k-nearest-neighbor":[47],"queries).":[48],"aim":[51],"provide":[53],"three":[54],"goals:":[55],"(1)":[56],"Online":[57],"evaluation":[58,70,75],"an":[60,73,83],"in-memory":[61],"processing":[62],"the":[64,146],"incoming":[65],"data.":[67],"(2)":[68],"employing":[72,82],"incremental":[74,153],"paradigm.":[76,85],"(3)":[77],"Fast":[78],"query":[79,107,117,121],"response":[80,156],"anticipation":[84],"Query":[86],"answer":[87],"is":[88,91],"anticipated":[89],"cached":[92],"in":[93,104,119,151],"memory":[94],"allow":[96],"fast":[98,155],"evaluation.":[99],"are":[102],"encapsulated":[103],"physical":[105],"pipelined":[106,110],"operators.":[108],"operators":[111,118,150],"combined":[114],"with":[115],"traditional":[116],"execution":[122],"plan":[123],"support":[125],"wide":[127],"variety":[128],"queries.":[131,159],"Experimental":[132],"results":[133],"based":[134],"on":[135],"real":[137],"implementation":[138],"inside":[139],"prototype":[141],"streaming":[142],"database":[143],"engine":[144],"show":[145],"efficiency":[147],"providing":[152]},"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":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}