{"id":"https://openalex.org/W3195940902","doi":"https://doi.org/10.1145/3469830.3470897","title":"A Novel Indexing Method for Spatial-Keyword Range Queries","display_name":"A Novel Indexing Method for Spatial-Keyword Range Queries","publication_year":2021,"publication_date":"2021-08-19","ids":{"openalex":"https://openalex.org/W3195940902","doi":"https://doi.org/10.1145/3469830.3470897","mag":"3195940902"},"language":"en","primary_location":{"id":"doi:10.1145/3469830.3470897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469830.3470897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International Symposium on Spatial and Temporal Databases","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/A5066908256","display_name":"Panagiotis Tampakis","orcid":"https://orcid.org/0000-0003-1274-3306"},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Panagiotis Tampakis","raw_affiliation_strings":["University of Piraeus, Greece"],"affiliations":[{"raw_affiliation_string":"University of Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007675303","display_name":"Dimitris Spyrellis","orcid":null},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitris Spyrellis","raw_affiliation_strings":["University of Piraeus, Greece"],"affiliations":[{"raw_affiliation_string":"University of Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033084721","display_name":"Christos Doulkeridis","orcid":"https://orcid.org/0000-0002-3219-0510"},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Doulkeridis","raw_affiliation_strings":["University of Piraeus, Greece"],"affiliations":[{"raw_affiliation_string":"University of Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063577090","display_name":"Nikos Pelekis","orcid":"https://orcid.org/0000-0001-7205-5703"},"institutions":[{"id":"https://openalex.org/I154757721","display_name":"University of Piraeus","ror":"https://ror.org/02qs84g94","country_code":"GR","type":"education","lineage":["https://openalex.org/I154757721"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikos Pelekis","raw_affiliation_strings":["University of Piraeus, Greece"],"affiliations":[{"raw_affiliation_string":"University of Piraeus, Greece","institution_ids":["https://openalex.org/I154757721"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049004297","display_name":"Christos Kalyvas","orcid":"https://orcid.org/0000-0003-0901-3580"},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Christos Kalyvas","raw_affiliation_strings":["University of the Aegean, Greece"],"affiliations":[{"raw_affiliation_string":"University of the Aegean, Greece","institution_ids":["https://openalex.org/I98805295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000474293","display_name":"Akrivi Vlachou","orcid":"https://orcid.org/0000-0002-1961-9167"},"institutions":[{"id":"https://openalex.org/I98805295","display_name":"University of the Aegean","ror":"https://ror.org/03zsp3p94","country_code":"GR","type":"education","lineage":["https://openalex.org/I98805295"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Akrivi Vlachou","raw_affiliation_strings":["University of the Aegean, Greece"],"affiliations":[{"raw_affiliation_string":"University of the Aegean, Greece","institution_ids":["https://openalex.org/I98805295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5066908256"],"corresponding_institution_ids":["https://openalex.org/I154757721"],"apc_list":null,"apc_paid":null,"fwci":1.0772,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.77136336,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"54","last_page":"63"},"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":0.9972000122070312,"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":0.9921000003814697,"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/computer-science","display_name":"Computer science","score":0.8259773254394531},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.8041224479675293},{"id":"https://openalex.org/keywords/spatial-database","display_name":"Spatial database","score":0.7129696607589722},{"id":"https://openalex.org/keywords/range-query","display_name":"Range query (database)","score":0.687324047088623},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.6067119240760803},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.5972243547439575},{"id":"https://openalex.org/keywords/spatial-query","display_name":"Spatial query","score":0.5830960273742676},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5713738203048706},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5151118636131287},{"id":"https://openalex.org/keywords/data-structure","display_name":"Data structure","score":0.4993770122528076},{"id":"https://openalex.org/keywords/r-tree","display_name":"R-tree","score":0.4824422001838684},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4456181228160858},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4181958734989166},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3963974118232727},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3231819272041321},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23120898008346558},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.21843191981315613},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.20338350534439087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11528640985488892},{"id":"https://openalex.org/keywords/sargable","display_name":"Sargable","score":0.08789381384849548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8259773254394531},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.8041224479675293},{"id":"https://openalex.org/C203689450","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial database","level":3,"score":0.7129696607589722},{"id":"https://openalex.org/C136736807","wikidata":"https://www.wikidata.org/wiki/Q818943","display_name":"Range query (database)","level":5,"score":0.687324047088623},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.6067119240760803},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.5972243547439575},{"id":"https://openalex.org/C172722865","wikidata":"https://www.wikidata.org/wiki/Q2302053","display_name":"Spatial query","level":5,"score":0.5830960273742676},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5713738203048706},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5151118636131287},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.4993770122528076},{"id":"https://openalex.org/C106278948","wikidata":"https://www.wikidata.org/wiki/Q1198051","display_name":"R-tree","level":4,"score":0.4824422001838684},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4456181228160858},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4181958734989166},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3963974118232727},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3231819272041321},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23120898008346558},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.21843191981315613},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.20338350534439087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11528640985488892},{"id":"https://openalex.org/C192939062","wikidata":"https://www.wikidata.org/wiki/Q104840822","display_name":"Sargable","level":4,"score":0.08789381384849548},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3469830.3470897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469830.3470897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"17th International Symposium on Spatial and Temporal Databases","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1604088952","https://openalex.org/W1649434464","https://openalex.org/W1852700332","https://openalex.org/W1994655805","https://openalex.org/W1995074666","https://openalex.org/W2006307108","https://openalex.org/W2031517258","https://openalex.org/W2106299541","https://openalex.org/W2112129327","https://openalex.org/W2135503940","https://openalex.org/W2140048308","https://openalex.org/W2151345349","https://openalex.org/W2167275936","https://openalex.org/W2169307587","https://openalex.org/W2403537344","https://openalex.org/W2794480028","https://openalex.org/W2953695928","https://openalex.org/W3104001151","https://openalex.org/W3135889582","https://openalex.org/W3146968547"],"related_works":["https://openalex.org/W799526280","https://openalex.org/W3088660274","https://openalex.org/W1555625619","https://openalex.org/W2923247510","https://openalex.org/W3135393699","https://openalex.org/W2369119491","https://openalex.org/W2138061728","https://openalex.org/W2381731501","https://openalex.org/W2351937914","https://openalex.org/W3195940902"],"abstract_inverted_index":{"Spatial-keyword":[0],"queries":[1,28,147,188],"are":[2],"important":[3],"for":[4,66,122,144],"a":[5,15,31,44,62,80,87,130],"wide":[6],"range":[7,71,146,187],"of":[8,17,26,37,69,76,83,95,129],"applications":[9],"that":[10,47,91,124,133,155,193],"retrieve":[11],"data":[12,41,85,103,111],"based":[13],"on":[14],"combination":[16,36],"keyword":[18],"search":[19,136],"and":[20,39,173],"spatial":[21,40,110,157,177],"constraints.":[22],"However,":[23],"efficient":[24,67],"processing":[25],"spatial-keyword":[27,70,145,186],"is":[29,48,148],"not":[30],"trivial":[32],"task":[33],"because":[34],"the":[35,74,100,127,135],"textual":[38],"results":[42],"in":[43,57,182],"high-dimensional":[45],"representation":[46],"challenging":[49],"to":[50,86,126,151,184],"index":[51,178],"effectively.":[52,138],"To":[53],"address":[54],"this":[55,58,140],"problem,":[56],"paper,":[59],"we":[60,163,191],"propose":[61,118],"novel":[63],"indexing":[64],"scheme":[65],"support":[68],"queries.":[72],"At":[73],"heart":[75],"our":[77,142,160,166,194],"approach":[78,143],"lies":[79],"carefully-designed":[81],"mapping":[82],"spatio-textual":[84,96],"two-dimensional":[88],"(2D)":[89],"space":[90,137],"produces":[92],"compact":[93],"partitions":[94],"data.":[97],"In":[98,139,159],"turn,":[99],"mapped":[101],"2D":[102],"can":[104,168],"be":[105,169],"indexed":[106],"effectively":[107],"by":[108,180],"traditional":[109],"structures,":[112],"such":[113],"as":[114],"an":[115],"R-tree.":[116],"We":[117],"bounds,":[119],"theoretically":[120],"proven":[121],"correctness,":[123],"lead":[125],"design":[128],"filter-and-refine":[131],"algorithm":[132,167],"prunes":[134],"way,":[141],"readily":[149],"applicable":[150],"any":[152],"database":[153],"system":[154],"provides":[156],"support.":[158],"experimental":[161],"evaluation,":[162],"demonstrate":[164],"how":[165],"implemented":[170],"over":[171],"PostgreSQL":[172],"exploit":[174],"its":[175],"underlying":[176],"provided":[179],"PostGIS,":[181],"order":[183],"process":[185],"efficiently.":[189],"Moreover,":[190],"show":[192],"solution":[195],"outperforms":[196],"different":[197],"competitor":[198],"approaches.":[199]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}