{"id":"https://openalex.org/W2058987446","doi":"https://doi.org/10.1145/1032222.1032250","title":"On efficiently processing nearest neighbor queries in a loosely coupled set of data sources","display_name":"On efficiently processing nearest neighbor queries in a loosely coupled set of data sources","publication_year":2004,"publication_date":"2004-11-12","ids":{"openalex":"https://openalex.org/W2058987446","doi":"https://doi.org/10.1145/1032222.1032250","mag":"2058987446"},"language":"en","primary_location":{"id":"doi:10.1145/1032222.1032250","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1032222.1032250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th annual ACM international workshop on Geographic information systems","raw_type":"proceedings-article"},"type":"conference-paper","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/A5109037196","display_name":"Thomas Schwarz","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thomas Schwarz","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072629167","display_name":"Markus Iofcea","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Markus Iofcea","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107701497","display_name":"Matthias Gro\u00dfmann","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Matthias Grossmann","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026864216","display_name":"Nicola H\u00f6nle","orcid":null},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nicola H\u00f6nle","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014507893","display_name":"Daniela Nicklas","orcid":"https://orcid.org/0000-0001-7012-6010"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Daniela Nicklas","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062152793","display_name":"Bernhard Mitschang","orcid":"https://orcid.org/0000-0003-0809-9159"},"institutions":[{"id":"https://openalex.org/I100066346","display_name":"University of Stuttgart","ror":"https://ror.org/04vnq7t77","country_code":"DE","type":"education","lineage":["https://openalex.org/I100066346"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bernhard Mitschang","raw_affiliation_strings":["University of Stuttgart, Stuttgart, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Stuttgart, Stuttgart, Germany","institution_ids":["https://openalex.org/I100066346"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I100066346"],"apc_list":null,"apc_paid":null,"fwci":1.5563,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83004583,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"184","last_page":"193"},"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9901999831199646,"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":0.8267006874084473},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6426311731338501},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6190611124038696},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5108768343925476},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17721271514892578}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8267006874084473},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6426311731338501},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6190611124038696},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5108768343925476},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17721271514892578},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1032222.1032250","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1032222.1032250","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th annual ACM international workshop on Geographic information systems","raw_type":"proceedings-article"},{"id":"pmh:oai:informatik.uni-stuttgart.de:INPROC-2004-42","is_oa":false,"landing_page_url":"http://www2.informatik.uni-stuttgart.de/cgi-bin/NCSTRL/NCSTRL_view.pl?id=INPROC-2004-42&engl=1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401306","display_name":"Fachbereich Informatik (University of Stuttgart)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I100066346","host_organization_name":"University of Stuttgart","host_organization_lineage":["https://openalex.org/I100066346"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"\\n In: ACM (ed.): Proceedings of the 12th ACM International Symposium\\n on Advances in Geographic Information System (ACM GIS 004),\\n Washington D.C., November 12-13, 2004\\n","raw_type":"Text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2310636","https://openalex.org/W1495247666","https://openalex.org/W1544002045","https://openalex.org/W1555168728","https://openalex.org/W1566022212","https://openalex.org/W1577760684","https://openalex.org/W1578013635","https://openalex.org/W1723433588","https://openalex.org/W1839553215","https://openalex.org/W1978714879","https://openalex.org/W1990111898","https://openalex.org/W2018177083","https://openalex.org/W2046144220","https://openalex.org/W2070074980","https://openalex.org/W2072753159","https://openalex.org/W2109424811","https://openalex.org/W2115260942","https://openalex.org/W2120764899","https://openalex.org/W2121149665","https://openalex.org/W2129938590","https://openalex.org/W2139641135","https://openalex.org/W2149328866","https://openalex.org/W2151135734","https://openalex.org/W2151367350"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"We":[0,64],"propose":[1,65,112],"a":[2,51,66,134,140],"family":[3],"of":[4,79,89,119,164],"algorithms":[5,159,166],"for":[6,33,139],"processing":[7],"nearest":[8],"neighbor":[9],"(NN)":[10],"queries":[11,38],"in":[12,50,153],"an":[13],"integration":[14],"middleware":[15],"that":[16,69,96],"provides":[17],"federated":[18],"access":[19],"to":[20,104,113,132],"numerous":[21],"loosely":[22],"coupled,":[23],"autonomous":[24],"data":[25,41,62,91,123],"sources":[26,42,124],"connected":[27],"through":[28],"the":[29,47,77,80,87,126,146,157,162],"internet.":[30],"Previous":[31],"approaches":[32],"parallel":[34],"and":[35,85,108],"distributed":[36],"NN":[37,165],"considered":[39],"all":[40,121],"as":[43,150],"relevant,":[44],"or":[45],"determined":[46],"relevant":[48,90,122],"ones":[49],"single":[52],"step":[53],"by":[54],"exploiting":[55],"additional":[56],"knowledge":[57],"on":[58],"object":[59],"counts":[60],"per":[61],"source.":[63],"different":[67],"approach":[68],"does":[70],"not":[71],"require":[72],"such":[73],"detailed":[74],"statistics":[75],"about":[76],"distribution":[78],"data.":[81],"It":[82],"iteratively":[83],"enlarges":[84],"shrinks":[86],"set":[88,163],"sources.":[92],"Our":[93],"experiments":[94],"show":[95,152],"this":[97],"yields":[98],"considerable":[99],"performance":[100],"benefits":[101],"with":[102],"regard":[103],"both":[105],"response":[106,137],"time":[107,138],"effort.":[109],"Additionally,":[110],"we":[111,151],"use":[114],"only":[115],"moderate":[116],"parallelism":[117],"instead":[118],"querying":[120],"at":[125],"same":[127],"time.":[128],"This":[129],"allows":[130],"us":[131],"trade":[133],"slightly":[135],"increased":[136],"lot":[141],"less":[142],"effort,":[143],"hence":[144],"maximizing":[145],"cost":[147],"profit":[148],"ratio,":[149],"our":[154],"experiments.":[155],"Thus,":[156],"proposed":[158],"clearly":[160],"extend":[161],"known":[167],"so":[168],"far.":[169]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}