{"id":"https://openalex.org/W2999382521","doi":"https://doi.org/10.1109/tkde.2020.2964206","title":"Efficiently Processing Spatial and Keyword Queries in Indoor Venues","display_name":"Efficiently Processing Spatial and Keyword Queries in Indoor Venues","publication_year":2020,"publication_date":"2020-01-07","ids":{"openalex":"https://openalex.org/W2999382521","doi":"https://doi.org/10.1109/tkde.2020.2964206","mag":"2999382521"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2020.2964206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2964206","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://vbn.aau.dk/da/publications/98d251b8-9222-435d-9337-9fba9b37e407","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087454508","display_name":"Zhou Shao","orcid":"https://orcid.org/0000-0002-6265-7310"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Zhou Shao","raw_affiliation_strings":["Faculty of Information Technology, Monash University, Clayton, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Monash University, Clayton, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047549903","display_name":"Muhammad Aamir Cheema","orcid":"https://orcid.org/0000-0003-2139-9121"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Muhammad Aamir Cheema","raw_affiliation_strings":["Faculty of Information Technology, Monash University, Clayton, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0003-2139-9121","affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Monash University, Clayton, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065353209","display_name":"David Taniar","orcid":"https://orcid.org/0000-0002-8862-3960"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David Taniar","raw_affiliation_strings":["Faculty of Information Technology, Monash University, Clayton, VIC, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Information Technology, Monash University, Clayton, VIC, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079711114","display_name":"Hua Lu","orcid":"https://orcid.org/0000-0003-1199-6678"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Hua Lu","raw_affiliation_strings":["Department of Computer Science, Aalborg University, Aalborg, Denmark"],"raw_orcid":"https://orcid.org/0000-0003-1199-6678","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101688821","display_name":"Shiyu Yang","orcid":"https://orcid.org/0000-0002-3989-7404"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyu Yang","raw_affiliation_strings":["School of Software Engineering, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software Engineering, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4538,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.80931618,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"33","issue":"9","first_page":"3229","last_page":"3244"},"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":0.9901999831199646,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8742079734802246},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6657223701477051},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.6579031944274902},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.6411755084991455},{"id":"https://openalex.org/keywords/space-partitioning","display_name":"Space partitioning","score":0.6280394196510315},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5966973304748535},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5030476450920105},{"id":"https://openalex.org/keywords/spatial-analysis","display_name":"Spatial analysis","score":0.44116273522377014},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2905411720275879},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10981151461601257}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8742079734802246},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6657223701477051},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.6579031944274902},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6411755084991455},{"id":"https://openalex.org/C13670688","wikidata":"https://www.wikidata.org/wiki/Q3500548","display_name":"Space partitioning","level":2,"score":0.6280394196510315},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5966973304748535},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5030476450920105},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.44116273522377014},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2905411720275879},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10981151461601257},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tkde.2020.2964206","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2020.2964206","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/98d251b8-9222-435d-9337-9fba9b37e407","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/98d251b8-9222-435d-9337-9fba9b37e407","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Shao, Z, Cheema, M A, Taniar, D, Lu, H & Yang, S 2021, 'Efficiently processing spatial and keyword queries in indoor venues', IEEE Transactions on Knowledge and Data Engineering, vol. 33, no. 9, 8950103, pp. 3229-3244. https://doi.org/10.1109/TKDE.2020.2964206","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:pure.atira.dk:openaire/98d251b8-9222-435d-9337-9fba9b37e407","is_oa":true,"landing_page_url":"https://vbn.aau.dk/da/publications/98d251b8-9222-435d-9337-9fba9b37e407","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Shao, Z, Cheema, M A, Taniar, D, Lu, H & Yang, S 2021, 'Efficiently processing spatial and keyword queries in indoor venues', IEEE Transactions on Knowledge and Data Engineering, vol. 33, no. 9, 8950103, pp. 3229-3244. https://doi.org/10.1109/TKDE.2020.2964206","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5506695369","display_name":"A ubiquitous system for indoor location-based services","funder_award_id":"FT180100140","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"},{"id":"https://openalex.org/G6659126982","display_name":"Next-generation search on social networks","funder_award_id":"DP180103411","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1852053568","https://openalex.org/W1970696407","https://openalex.org/W1976143999","https://openalex.org/W2001017018","https://openalex.org/W2003645866","https://openalex.org/W2006307108","https://openalex.org/W2010961808","https://openalex.org/W2028327419","https://openalex.org/W2050447572","https://openalex.org/W2054072622","https://openalex.org/W2056197191","https://openalex.org/W2062153469","https://openalex.org/W2070232376","https://openalex.org/W2071898519","https://openalex.org/W2073083495","https://openalex.org/W2076795475","https://openalex.org/W2095234602","https://openalex.org/W2100045669","https://openalex.org/W2102319056","https://openalex.org/W2123512454","https://openalex.org/W2132870420","https://openalex.org/W2140048308","https://openalex.org/W2142410337","https://openalex.org/W2153752762","https://openalex.org/W2160080073","https://openalex.org/W2164742922","https://openalex.org/W2167275936","https://openalex.org/W2229332794","https://openalex.org/W2303747302","https://openalex.org/W2546691052","https://openalex.org/W2578328754","https://openalex.org/W2765944171","https://openalex.org/W2769709624","https://openalex.org/W2890565892","https://openalex.org/W2900686218","https://openalex.org/W2914844844"],"related_works":["https://openalex.org/W2953354531","https://openalex.org/W1895366714","https://openalex.org/W3008857645","https://openalex.org/W3037605386","https://openalex.org/W2073947114","https://openalex.org/W2061980994","https://openalex.org/W2090617251","https://openalex.org/W2620334251","https://openalex.org/W4389304954","https://openalex.org/W1540431531"],"abstract_inverted_index":{"Due":[0],"to":[1,119,155],"the":[2,18,26,34,41,44,89,117,177],"growing":[3],"popularity":[4],"of":[5,43,91,183],"indoor":[6,9,35,45,59,92,125,143],"location-based":[7],"services,":[8],"data":[10,131,169],"management":[11],"has":[12],"received":[13],"significant":[14],"research":[15],"attention":[16],"in":[17,124,141],"past":[19],"few":[20],"years.":[21],"However,":[22],"we":[23,68],"observe":[24],"that":[25,83,138,172],"existing":[27,178],"indexing":[28],"and":[29,79,103,110,153,167],"query":[30,63],"processing":[31],"techniques":[32],"for":[33,57,107],"space":[36],"do":[37],"not":[38],"fully":[39],"exploit":[40],"properties":[42,90],"space.":[46],"Consequently,":[47],"they":[48],"provide":[49,104],"below":[50],"par":[51],"performance":[52,106],"which":[53],"makes":[54],"them":[55],"unsuitable":[56],"large":[58],"venues":[60],"with":[61],"high":[62],"workloads.":[64],"In":[65],"this":[66],"paper,":[67],"first":[69,118],"propose":[70,128,146],"two":[71],"novel":[72,130],"indexes":[73,96,139,175],"called":[74,133],"Indoor":[75],"Partitioning":[76,135],"Tree":[77,136],"(IP-Tree)":[78],"Vivid":[80],"IP-Tree":[81],"(VIP-Tree)":[82],"are":[84,97,115],"carefully":[85],"designed":[86],"by":[87,180],"utilizing":[88],"venues.":[93,126],"The":[94],"proposed":[95,174],"lightweight,":[98],"have":[99],"small":[100],"pre-processing":[101],"cost":[102],"near-optimal":[105],"shortest":[108,111],"distance":[109],"path":[112],"queries.":[113,160],"We":[114,127,145],"also":[116],"study":[120,164],"spatial":[121,158],"keyword":[122,159],"queries":[123],"a":[129],"structure":[132],"Keyword":[134],"(KP-Tree)":[137],"objects":[140],"an":[142,147],"partition.":[144],"efficient":[148],"algorithm":[149],"based":[150],"on":[151,165],"VIP-Tree":[152],"KP-Trees":[154],"efficiently":[156],"answer":[157],"Our":[161],"extensive":[162],"experimental":[163],"real":[166],"synthetic":[168],"sets":[170],"demonstrates":[171],"our":[173],"outperform":[176],"solutions":[179],"several":[181],"orders":[182],"magnitude.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
