{"id":"https://openalex.org/W2800973392","doi":"https://doi.org/10.1145/3196155","title":"Batch Processing of Top- <i>k</i> Spatial-Textual Queries","display_name":"Batch Processing of Top- <i>k</i> Spatial-Textual Queries","publication_year":2017,"publication_date":"2017-12-31","ids":{"openalex":"https://openalex.org/W2800973392","doi":"https://doi.org/10.1145/3196155","mag":"2800973392"},"language":"en","primary_location":{"id":"doi:10.1145/3196155","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3196155","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-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/A5015352125","display_name":"Farhana Choudhury","orcid":"https://orcid.org/0000-0001-6529-4220"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Farhana M. Choudhury","raw_affiliation_strings":["School of Science, RMIT University, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"School of Science, RMIT University, Victoria, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070937840","display_name":"J. Shane Culpepper","orcid":"https://orcid.org/0000-0002-1902-9087"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"J. Shane Culpepper","raw_affiliation_strings":["School of Science, RMIT University, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"School of Science, RMIT University, Victoria, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080660416","display_name":"Zhifeng Bao","orcid":"https://orcid.org/0000-0003-2477-381X"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhifeng Bao","raw_affiliation_strings":["School of Science, RMIT University, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"School of Science, RMIT University, Victoria, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020449921","display_name":"Timos Sellis","orcid":"https://orcid.org/0000-0002-9067-5639"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Timos Sellis","raw_affiliation_strings":["Data Science Research Institute, Swinburne University of Technology, Hawthorn, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Data Science Research Institute, Swinburne University of Technology, Hawthorn, Victoria, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5015352125"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":1.6778,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.86224038,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"3","issue":"4","first_page":"1","last_page":"40"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"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":1.0,"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":0.9940999746322632,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9890000224113464,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.8582297563552856},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8518641591072083},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.8416334390640259},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.600656270980835},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5326613783836365},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5279632806777954},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4951154291629791},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.475154846906662},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45390310883522034},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4511394798755646},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.4255262017250061},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4213860332965851},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.41909366846084595},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.33039525151252747},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17220190167427063},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12106451392173767},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.09958600997924805}],"concepts":[{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.8582297563552856},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8518641591072083},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8416334390640259},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.600656270980835},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5326613783836365},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5279632806777954},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4951154291629791},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.475154846906662},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45390310883522034},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4511394798755646},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.4255262017250061},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4213860332965851},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.41909366846084595},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.33039525151252747},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17220190167427063},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12106451392173767},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.09958600997924805},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3196155","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3196155","pdf_url":null,"source":{"id":"https://openalex.org/S2503711797","display_name":"ACM Transactions on Spatial Algorithms and Systems","issn_l":"2374-0353","issn":["2374-0353","2374-0361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Spatial Algorithms and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2672715682","display_name":null,"funder_award_id":"91646204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320310369","display_name":"National ICT Australia","ror":"https://ror.org/03q397159"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1532325895","https://openalex.org/W1546365363","https://openalex.org/W1607692304","https://openalex.org/W1689932539","https://openalex.org/W1852700332","https://openalex.org/W1978394996","https://openalex.org/W1980344365","https://openalex.org/W1982590063","https://openalex.org/W1994378272","https://openalex.org/W2003645866","https://openalex.org/W2058978608","https://openalex.org/W2063694594","https://openalex.org/W2065472179","https://openalex.org/W2067047256","https://openalex.org/W2071898519","https://openalex.org/W2073593215","https://openalex.org/W2103406514","https://openalex.org/W2106299541","https://openalex.org/W2112129327","https://openalex.org/W2118269922","https://openalex.org/W2140048308","https://openalex.org/W2150246229","https://openalex.org/W2150414292","https://openalex.org/W2152421589","https://openalex.org/W2154592552","https://openalex.org/W2154610494","https://openalex.org/W2163652601","https://openalex.org/W2167275936","https://openalex.org/W2168649524","https://openalex.org/W2171793735","https://openalex.org/W2264116648","https://openalex.org/W2309147406","https://openalex.org/W4242599275"],"related_works":["https://openalex.org/W4229950834","https://openalex.org/W3107197685","https://openalex.org/W2908418870","https://openalex.org/W48124421","https://openalex.org/W272774291","https://openalex.org/W2604902477","https://openalex.org/W3202117991","https://openalex.org/W3110101717","https://openalex.org/W4287647396","https://openalex.org/W3090291499"],"abstract_inverted_index":{"Since":[0],"the":[1,78,83,118,131,163,170,175,180,213],"mid-2000s,":[2],"everal":[3],"indexing":[4,75,141],"techniques":[5],"have":[6],"been":[7],"proposed":[8],"to":[9,32,43,60,120,173],"efficiently":[10],"answer":[11],"top-":[12,64],"k":[13,65],"spatial-textual":[14,66],"queries.":[15,164,185],"However,":[16],"all":[17,166],"of":[18,57,74,85,133,162,167,183,209,220,231],"these":[19,168],"approaches":[20,59,197],"focus":[21],"on":[22,91,201],"answering":[23],"one":[24],"query":[25],"at":[26],"a":[27,55,72,113,122,155],"time.":[28],"In":[29,50,165],"contrast,":[30],"how":[31,207],"design":[33,71],"efficient":[34,58,98],"algorithms":[35,194],"that":[36,143],"can":[37,144,226],"exploit":[38],"similarities":[39],"between":[40],"incoming":[41],"queries":[42,67],"improve":[44,174],"performance":[45,177],"has":[46],"received":[47],"little":[48],"attention.":[49],"this":[51,229],"article,":[52],"we":[53,95,111,136,187],"study":[54],"series":[56],"batch":[61,160],"process":[62],"multiple":[63],"concurrently.":[68],"We":[69],"carefully":[70],"variety":[73],"structures":[76],"for":[77,159],"problem":[79],"space":[80],"by":[81,178,198],"exploring":[82],"effect":[84],"prioritizing":[86],"spatial":[87],"and":[88,154,205,223],"textual":[89],"properties":[90,208],"system":[92],"performance.":[93,214],"Specifically,":[94],"present":[96],"an":[97,105,138],"traversal":[99,157],"method,":[100],"SF-S":[101],"ep":[102],",":[103],"over":[104,195],"existing":[106,149],"space-prioritized":[107,115],"index":[108,116],"structure.":[109],"Then,":[110],"propose":[112,137],"new":[114],"structure,":[117],"MIR-Tree":[119],"support":[121,130],"filter-and-refine":[123],"based":[124],"technique,":[125],"SF-G":[126],"rp":[127],".":[128],"To":[129],"processing":[132,161],"text-intensive":[134],"data,":[135],"augmented,":[139],"inverted":[140],"structure":[142],"easily":[145],"be":[146],"added":[147],"into":[148],"text":[150],"search":[151,225],"engine":[152],"architectures":[153],"novel":[156],"method":[158],"approaches,":[169],"goal":[171],"is":[172],"overall":[176],"sharing":[179],"I/O":[181,190],"costs":[182],"similar":[184],"Finally,":[186],"demonstrate":[188],"significant":[189],"savings":[191],"in":[192,217],"our":[193],"traditional":[196],"extensive":[199],"experiments":[200],"three":[202],"real":[203],"datasets":[204,211],"compare":[206],"different":[210],"affect":[212],"Many":[215],"applications":[216],"streaming,":[218],"micro-batching":[219],"continuous":[221],"queries,":[222],"privacy-aware":[224],"benefit":[227],"from":[228],"line":[230],"work.":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2018-05-17T00:00:00"}
