{"id":"https://openalex.org/W2979929069","doi":"https://doi.org/10.3233/sw-190367","title":"Continuous top-k approximated join of streaming and evolving distributed data","display_name":"Continuous top-k approximated join of streaming and evolving distributed data","publication_year":2019,"publication_date":"2019-10-11","ids":{"openalex":"https://openalex.org/W2979929069","doi":"https://doi.org/10.3233/sw-190367","mag":"2979929069"},"language":"en","primary_location":{"id":"doi:10.3233/sw-190367","is_oa":false,"landing_page_url":"https://doi.org/10.3233/sw-190367","pdf_url":null,"source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semantic Web","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/A5087330675","display_name":"Shima Zahmatkesh","orcid":"https://orcid.org/0000-0002-7832-0288"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Shima Zahmatkesh","raw_affiliation_strings":["Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy. E-mails:\u00a0shima.zahmatkesh@polimi.it,\u00a0emanuele.dellavalle@polimi.it"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy. E-mails:\u00a0shima.zahmatkesh@polimi.it,\u00a0emanuele.dellavalle@polimi.it","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015694017","display_name":"Emanuele Della Valle","orcid":"https://orcid.org/0000-0002-5176-5885"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Emanuele Della Valle","raw_affiliation_strings":["Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy. E-mails:\u00a0shima.zahmatkesh@polimi.it,\u00a0emanuele.dellavalle@polimi.it"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy. E-mails:\u00a0shima.zahmatkesh@polimi.it,\u00a0emanuele.dellavalle@polimi.it","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5087330675"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":null,"apc_paid":null,"fwci":0.1636,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45045497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"11","issue":"5","first_page":"767","last_page":"799"},"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":0.9936000108718872,"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/T11478","display_name":"Caching and Content Delivery","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/joins","display_name":"Joins","score":0.8341184854507446},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8133093118667603},{"id":"https://openalex.org/keywords/replica","display_name":"Replica","score":0.7799930572509766},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.732539713382721},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6063425540924072},{"id":"https://openalex.org/keywords/join","display_name":"Join (topology)","score":0.6060732007026672},{"id":"https://openalex.org/keywords/distributed-database","display_name":"Distributed database","score":0.567940354347229},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5283107161521912},{"id":"https://openalex.org/keywords/distributed-algorithm","display_name":"Distributed algorithm","score":0.5050404667854309},{"id":"https://openalex.org/keywords/streaming-data","display_name":"Streaming data","score":0.45986461639404297},{"id":"https://openalex.org/keywords/selection-algorithm","display_name":"Selection algorithm","score":0.45297661423683167},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.4353950619697571},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3627172112464905},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2316383421421051},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.10319024324417114}],"concepts":[{"id":"https://openalex.org/C2778692605","wikidata":"https://www.wikidata.org/wiki/Q4041866","display_name":"Joins","level":2,"score":0.8341184854507446},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8133093118667603},{"id":"https://openalex.org/C2775937380","wikidata":"https://www.wikidata.org/wiki/Q1232589","display_name":"Replica","level":2,"score":0.7799930572509766},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.732539713382721},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6063425540924072},{"id":"https://openalex.org/C2776124973","wikidata":"https://www.wikidata.org/wiki/Q3183033","display_name":"Join (topology)","level":2,"score":0.6060732007026672},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.567940354347229},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5283107161521912},{"id":"https://openalex.org/C130120984","wikidata":"https://www.wikidata.org/wiki/Q2835898","display_name":"Distributed algorithm","level":2,"score":0.5050404667854309},{"id":"https://openalex.org/C2777611316","wikidata":"https://www.wikidata.org/wiki/Q39045282","display_name":"Streaming data","level":2,"score":0.45986461639404297},{"id":"https://openalex.org/C2775973920","wikidata":"https://www.wikidata.org/wiki/Q3252726","display_name":"Selection algorithm","level":3,"score":0.45297661423683167},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.4353950619697571},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3627172112464905},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2316383421421051},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.10319024324417114},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"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},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/sw-190367","is_oa":false,"landing_page_url":"https://doi.org/10.3233/sw-190367","pdf_url":null,"source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Semantic Web","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W65091138","https://openalex.org/W185007748","https://openalex.org/W595582146","https://openalex.org/W1562873493","https://openalex.org/W1580310876","https://openalex.org/W1582747324","https://openalex.org/W1637994882","https://openalex.org/W1790360911","https://openalex.org/W1802580882","https://openalex.org/W1991249762","https://openalex.org/W1992833820","https://openalex.org/W2009688537","https://openalex.org/W2031513076","https://openalex.org/W2041239340","https://openalex.org/W2068606814","https://openalex.org/W2074495191","https://openalex.org/W2076293042","https://openalex.org/W2084538728","https://openalex.org/W2106742801","https://openalex.org/W2109360361","https://openalex.org/W2117202609","https://openalex.org/W2124289460","https://openalex.org/W2125913732","https://openalex.org/W2127003315","https://openalex.org/W2129362607","https://openalex.org/W2131785201","https://openalex.org/W2132244350","https://openalex.org/W2140102533","https://openalex.org/W2143682328","https://openalex.org/W2248823332","https://openalex.org/W2435398999","https://openalex.org/W2474605664","https://openalex.org/W2523199358","https://openalex.org/W2585743215","https://openalex.org/W2666600683","https://openalex.org/W2734376583","https://openalex.org/W3023527814","https://openalex.org/W4251560691","https://openalex.org/W6607045254","https://openalex.org/W6816311081"],"related_works":["https://openalex.org/W2088925915","https://openalex.org/W2382891957","https://openalex.org/W2393491644","https://openalex.org/W2067184662","https://openalex.org/W3047837489","https://openalex.org/W2154787987","https://openalex.org/W2906067925","https://openalex.org/W2124336476","https://openalex.org/W2154292212","https://openalex.org/W2186616813"],"abstract_inverted_index":{"Continuously":[0],"finding":[1],"the":[2,51,68,90,96,100,112,129,139,141,148,151,158,161,170,186,199,202],"most":[3],"relevant":[4,194],"(shortly,":[5],"top-k)":[6],"answer":[7],"of":[8,70,111,160,169,172,201],"a":[9,19,76,81,86,108,166],"query":[10,73],"that":[11,185],"joins":[12],"streaming":[13],"and":[14,33,99,115,175,195],"distributed":[15,52,82,91,113],"data":[16,53,77,92],"is":[17,26,36],"getting":[18],"growing":[20],"attention.":[21],"In":[22,63],"recent":[23],"years,":[24],"this":[25,64],"in":[27,30,40,84],"particular":[28],"happening":[29],"Social":[31],"Media":[32],"IoT.":[34],"It":[35],"well":[37,60],"known":[38],"that,":[39],"those":[41],"settings,":[42],"remaining":[43],"reactive":[44],"can":[45,54],"be":[46,55],"challengi":[47],"ng,":[48],"because":[49],"accessing":[50],"highly":[56],"time":[57],"consuming":[58],"as":[59,61],"rate-limited.":[62],"paper,":[65],"we":[66,132,176,181],"investigate":[67],"problem":[69],"continuous":[71],"top-k":[72,162],"evaluation":[74],"over":[75],"stream":[78],"joined":[79],"with":[80],"dataset":[83,114],"even":[85],"more":[87,193],"extreme":[88],"situation:":[89],"evolves.":[93],"We":[94,164],"propose":[95,133],"Topk+N":[97,173],"algorithm":[98,174],"AcquaTop":[101,190],"framework.":[102],"They":[103],"keep":[104],"up":[105],"to":[106,121,127,137],"date":[107],"local":[109],"replica":[110],"guarantees":[116],"reactiveness":[117],"by":[118],"construction,":[119],"but":[120],"do":[122],"so":[123],"they":[124],"may":[125],"need":[126],"approximate":[128],"result.":[130,163],"Therefore,":[131],"two":[134],"maintenance":[135],"policies":[136,188],"update":[138],"replica:":[140],"Top":[142],"Selection":[143,153],"Maintenance":[144,154],"(AT-TSM)":[145],"policy":[146,156],"maximizes":[147,157],"relevancy,":[149],"while":[150],"Border":[152],"(AT-BSM)":[155],"accuracy":[159],"contribute":[165],"theoretical":[167],"proof":[168],"correctness":[171],"study":[177],"its":[178],"complexity.":[179],"Moreover,":[180],"provide":[182],"empirical":[183],"evidence":[184],"proposed":[187],"within":[189],"framework":[191],"produce":[192],"accurate":[196],"results":[197],"than":[198],"state":[200],"art.":[203]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
