{"id":"https://openalex.org/W2013441381","doi":"https://doi.org/10.1145/1594139.1594142","title":"Space, time, sensors, and data semantics","display_name":"Space, time, sensors, and data semantics","publication_year":2009,"publication_date":"2009-06-29","ids":{"openalex":"https://openalex.org/W2013441381","doi":"https://doi.org/10.1145/1594139.1594142","mag":"2013441381"},"language":"en","primary_location":{"id":"doi:10.1145/1594139.1594142","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1594139.1594142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth ACM International Workshop on Data Engineering for Wireless and Mobile Access","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/A5034079778","display_name":"Frank Olken","orcid":null},"institutions":[{"id":"https://openalex.org/I148283060","display_name":"Lawrence Berkeley National Laboratory","ror":"https://ror.org/02jbv0t02","country_code":"US","type":"facility","lineage":["https://openalex.org/I1330989302","https://openalex.org/I148283060","https://openalex.org/I39565521"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Frank Olken","raw_affiliation_strings":["Lawrence Berkeley National Laboratory and National Science Foundation"],"affiliations":[{"raw_affiliation_string":"Lawrence Berkeley National Laboratory and National Science Foundation","institution_ids":["https://openalex.org/I148283060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5034079778"],"corresponding_institution_ids":["https://openalex.org/I148283060"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.11164553,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9740999937057495,"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"}},"topics":[{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9740999937057495,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9532999992370605,"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"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9503999948501587,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7112346887588501},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.47404050827026367},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.42709848284721375},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4241214990615845},{"id":"https://openalex.org/keywords/online-analytical-processing","display_name":"Online analytical processing","score":0.416882187128067},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.374528169631958},{"id":"https://openalex.org/keywords/data-warehouse","display_name":"Data warehouse","score":0.14223849773406982},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12404036521911621},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.11045145988464355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10841837525367737}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7112346887588501},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47404050827026367},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.42709848284721375},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4241214990615845},{"id":"https://openalex.org/C201932085","wikidata":"https://www.wikidata.org/wiki/Q642514","display_name":"Online analytical processing","level":3,"score":0.416882187128067},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.374528169631958},{"id":"https://openalex.org/C135572916","wikidata":"https://www.wikidata.org/wiki/Q193351","display_name":"Data warehouse","level":2,"score":0.14223849773406982},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12404036521911621},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.11045145988464355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10841837525367737},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1594139.1594142","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1594139.1594142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Eighth ACM International Workshop on Data Engineering for Wireless and Mobile Access","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3001755948","https://openalex.org/W2128160835","https://openalex.org/W2551938829","https://openalex.org/W3003185826","https://openalex.org/W2295166198","https://openalex.org/W143050442","https://openalex.org/W2186226886","https://openalex.org/W2119936234","https://openalex.org/W3028685348","https://openalex.org/W2250868570","https://openalex.org/W2407449622","https://openalex.org/W3198601338","https://openalex.org/W2188947493","https://openalex.org/W2505502798","https://openalex.org/W2183132256","https://openalex.org/W2101341561","https://openalex.org/W2408126428","https://openalex.org/W2766748175","https://openalex.org/W2619632367","https://openalex.org/W2010395872"],"abstract_inverted_index":{"In":[0],"this":[1,96],"talk":[2,225],"we":[3,21],"will":[4,22,91,122,238,321],"discuss":[5,92,123,323],"the":[6,34,65,77,205,242],"issues":[7,109,127],"concerning":[8],"data":[9,39,45,53,196,210,230,248,258,264,274,279,286,307,317],"management":[10,287,318],"for":[11,36,55,98,141,166,215,257,288],"environmental":[12,289],"monitoring":[13,290],"of":[14,29,62,67,73,81,110,157,187,201,207,232,234,241,245,262,291,302,312,315,326],"moving":[15],"phenomena":[16,294],"in":[17,228,310],"continuous":[18],"media.":[19],"Specifically,":[20],"concentrate":[23],"on":[24],"three":[25],"topics:":[26],"non-Newtonian":[27],"notions":[28],"time,":[30,63],"measurement":[31,111,125],"units,":[32],"and":[33,86,94,128,131,151,180,309],"need":[35,311],"better":[37,316],"spatio-temporal":[38],"models,":[40,249],"such":[41,169,185,263,335],"as":[42,170,212,271,277],"fiber":[43,246],"bundle":[44,247,273],"models":[46,231,265,275],"to":[47,114,199,224,270],"model":[48,80],"vector":[49,208,272],"field":[50,209],"data.Classical":[51],"temporal":[52],"modeling":[54],"databases":[56],"has":[57,75],"invoked":[58],"a":[59,324],"Newtonian":[60,79],"conception":[61],"with":[64],"notion":[66,206],"universal":[68],"simultaneous":[69],"time.":[70],"Einstein's":[71],"theory":[72],"relativity":[74],"supplanted":[76],"earlier":[78],"time":[82],"among":[83],"physicists,":[84],"astronomers,":[85],"now":[87],"GPS":[88],"users.":[89],"We":[90,121,237,320],"why":[93],"how":[95],"matters":[97],"DBMS":[99,102],"systems.Most":[100],"contemporary":[101],"systems,":[103],"query":[104],"languages,":[105],"etc.":[106],"entirely":[107],"ignore":[108],"units":[112],"failing":[113],"adequately":[115],"support":[116,334],"many":[117,167,200],"sensor":[118,285],"based":[119],"applications.":[120,260],"some":[124,240],"unit":[126],"dimensional":[129],"analysis":[130],"suggest":[132],"that":[133,144,284,333],"they":[134],"be":[135],"incorporated":[136],"into":[137],"our":[138],"type":[139],"systems":[140],"DBMSs.We":[142],"note":[143],"conventional":[145],"DBMSs":[146],"(relational,":[147],"object":[148],"oriented,":[149],"OLAP,":[150],"XML)":[152],"are":[153,192],"built":[154],"from":[155],"collections":[156,186,233],"discrete":[158,188,235],"things":[159],"(tuples,":[160],"objects,":[161],"facts,":[162],"or":[163,217,276],"trees).":[164],"However,":[165],"applications,":[168,184],"weather":[171],"forecasting,":[172],"climate":[173],"simulations,":[174],"oceanography,":[175,297],"water":[176],"pollution":[177],"studies,":[178],"astrophysics,":[179],"other":[181],"fluid":[182,292],"dynamics":[183,293],"objects":[189],"(e.g.,":[190],"sets)":[191],"not":[193],"an":[194,300],"appropriate":[195],"model.":[197],"Common":[198],"these":[202],"applications":[203],"is":[204,299],"(such":[211],"velocity":[213],"fields":[214],"wind":[216],"ocean":[218],"currents).":[219],"It":[220],"hardly":[221],"makes":[222],"sense":[223],"about":[226],"interpolation":[227],"classical":[229],"objects.":[236],"recount":[239],"basic":[243],"ideas":[244],"first":[250],"investigated":[251],"by":[252,282],"Lloyd":[253],"Treinish":[254],"at":[255,329],"IBM":[256],"visualization":[259],"Variations":[261],"have":[266],"sometimes":[267],"been":[268],"referred":[269],"sheaf":[278],"models.We":[280],"summarize":[281],"suggesting":[283],"(weather,":[295],"climate,":[296],"etc.)":[298],"area":[301],"growing":[303,306],"importance,":[304],"rapidly":[305],"sets,":[308],"considerable":[313],"development":[314],"technology.":[319],"then":[322],"number":[325],"funding":[327],"opportunities":[328],"National":[330],"Science":[331],"Foundation":[332],"research.":[336]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
