{"id":"https://openalex.org/W3110198594","doi":"https://doi.org/10.1145/3397536.3422232","title":"Leveraging Geospatial Data Gateways to Support the Operational Application of Deep Learning Models","display_name":"Leveraging Geospatial Data Gateways to Support the Operational Application of Deep Learning Models","publication_year":2020,"publication_date":"2020-11-03","ids":{"openalex":"https://openalex.org/W3110198594","doi":"https://doi.org/10.1145/3397536.3422232","mag":"3110198594"},"language":"en","primary_location":{"id":"doi:10.1145/3397536.3422232","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397536.3422232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Advances in Geographic Information Systems","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/A5103085024","display_name":"Aiman Soliman","orcid":"https://orcid.org/0000-0003-2407-9668"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]},{"id":"https://openalex.org/I4210135837","display_name":"National Center for Supercomputing Applications","ror":"https://ror.org/03r10zj06","country_code":"US","type":"facility","lineage":["https://openalex.org/I157725225","https://openalex.org/I4210135837"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Aiman Soliman","raw_affiliation_strings":["NCSA, University of Illinois, Urbana, Illinois"],"affiliations":[{"raw_affiliation_string":"NCSA, University of Illinois, Urbana, Illinois","institution_ids":["https://openalex.org/I4210135837","https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057017108","display_name":"Jeffrey Terstriep","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135837","display_name":"National Center for Supercomputing Applications","ror":"https://ror.org/03r10zj06","country_code":"US","type":"facility","lineage":["https://openalex.org/I157725225","https://openalex.org/I4210135837"]},{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Terstriep","raw_affiliation_strings":["NCSA, University of Illinois, Urbana, Illinois"],"affiliations":[{"raw_affiliation_string":"NCSA, University of Illinois, Urbana, Illinois","institution_ids":["https://openalex.org/I4210135837","https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103085024"],"corresponding_institution_ids":["https://openalex.org/I157725225","https://openalex.org/I4210135837"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19412198,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"593","last_page":"596"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11986","display_name":"Scientific Computing and Data Management","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11588","display_name":"Atmospheric and Environmental Gas Dynamics","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.965399980545044,"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/geospatial-analysis","display_name":"Geospatial analysis","score":0.9057698249816895},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8155571818351746},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7488641738891602},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5982892513275146},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4538130462169647},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.45241376757621765},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4209247827529907},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3781455159187317},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3644660413265228},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.22873374819755554},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.12837332487106323}],"concepts":[{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.9057698249816895},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8155571818351746},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7488641738891602},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5982892513275146},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4538130462169647},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.45241376757621765},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4209247827529907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3781455159187317},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3644660413265228},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.22873374819755554},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.12837332487106323},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3397536.3422232","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397536.3422232","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th International Conference on Advances in Geographic Information Systems","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":15,"referenced_works":["https://openalex.org/W2096056219","https://openalex.org/W2146567529","https://openalex.org/W2153030062","https://openalex.org/W2557283755","https://openalex.org/W2751694392","https://openalex.org/W2764034829","https://openalex.org/W2782522152","https://openalex.org/W2884592726","https://openalex.org/W2913323966","https://openalex.org/W2940726923","https://openalex.org/W2982441053","https://openalex.org/W2988130594","https://openalex.org/W2995212654","https://openalex.org/W3036824277","https://openalex.org/W3104341624"],"related_works":["https://openalex.org/W4367313141","https://openalex.org/W2004086023","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W4283374591","https://openalex.org/W2910751785","https://openalex.org/W4390100400","https://openalex.org/W1557144543","https://openalex.org/W2098215860","https://openalex.org/W2132308729"],"abstract_inverted_index":{"Geospatial":[0],"data":[1,44,52,85,98,103,128,136,148,157,172],"providers":[2],"have":[3],"adopted":[4],"a":[5,25],"variety":[6],"of":[7,97,126,160,181,195,199],"science":[8],"gateways":[9,106,137],"as":[10,132],"the":[11,32,59,67,83,90,156,161,179,193],"primary":[12],"method":[13],"for":[14,48,74,146],"accessing":[15,75],"remote":[16],"geospatial":[17,68,76,135,162],"data.":[18],"Early":[19],"systems":[20],"provided":[21],"little":[22],"more":[23],"than":[24],"simple":[26],"file":[27,50],"transfer":[28,104],"mechanism":[29],"but":[30,189],"over":[31],"past":[33],"decade,":[34],"advanced":[35,144],"features":[36,145],"were":[37],"incorporated":[38],"to":[39,42,130],"allow":[40],"users":[41],"retrieve":[43],"seamlessly":[45],"without":[46],"concern":[47],"native":[49],"formats,":[51],"resolution,":[53],"or":[54],"even":[55],"spatial":[56,127,147],"projections.":[57],"However,":[58],"recent":[60],"growth":[61],"in":[62,66],"Deep":[63,91,139,163,182,201],"Learning":[64,92,140,164,183,202],"models":[65],"domains":[69],"has":[70],"exposed":[71],"additional":[72],"requirements":[73,115,159,174],"repositories.":[77],"In":[78,119],"this":[79,120],"paper":[80],"we":[81,122,167],"discussed":[82],"major":[84],"accessibility":[86,158,173],"challenges":[87],"faced":[88],"by":[89],"community":[93],"namely:":[94],"(1)":[95],"reproducibility":[96,180],"preprocessing":[99],"workflows,":[100],"(2)":[101],"optimizing":[102],"between":[105,134],"and":[107,110,138,150,185,197],"computational":[108],"environments,":[109],"(3)":[111],"minimizing":[112],"local":[113],"storage":[114],"using":[116],"on-the-fly":[117],"augmentation.":[118],"paper,":[121],"present":[123],"our":[124],"vision":[125],"generators":[129,149],"act":[131],"middleware":[133],"models.":[141,203],"We":[142],"propose":[143],"describe":[151],"how":[152],"they":[153],"could":[154],"satisfy":[155],"community.":[165],"Lastly,":[166],"argue":[168],"that":[169],"satisfying":[170],"these":[171],"will":[175,190],"not":[176],"only":[177],"enhance":[178],"workflows":[184],"speed":[186],"their":[187],"development":[188],"also":[191],"improve":[192],"quality":[194],"training":[196],"prediction":[198],"operational":[200]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}