{"id":"https://openalex.org/W4390100364","doi":"https://doi.org/10.1145/3589132.3625585","title":"Supervised Scheduling for Geospatial Interlinking","display_name":"Supervised Scheduling for Geospatial Interlinking","publication_year":2023,"publication_date":"2023-11-13","ids":{"openalex":"https://openalex.org/W4390100364","doi":"https://doi.org/10.1145/3589132.3625585"},"language":"en","primary_location":{"id":"doi:10.1145/3589132.3625585","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589132.3625585","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589132.3625585","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589132.3625585","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5035680515","display_name":"Maria Despoina Siampou","orcid":"https://orcid.org/0009-0006-1646-3618"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maria Despoina Siampou","raw_affiliation_strings":["Dept. of Computer Science, University of Southern California, Los Angeles, California, United States"],"raw_orcid":"https://orcid.org/0009-0006-1646-3618","affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Southern California, Los Angeles, California, United States","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056976720","display_name":"George Papadakis","orcid":"https://orcid.org/0000-0002-7298-9431"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"George Papadakis","raw_affiliation_strings":["Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0002-7298-9431","affiliations":[{"raw_affiliation_string":"Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045731304","display_name":"Nikos Mamoulis","orcid":null},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Nikos Mamoulis","raw_affiliation_strings":["Dept. of Computer Science, University of Ioannina, Ioannina, Greece"],"raw_orcid":"https://orcid.org/0000-0003-3423-4895","affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075117735","display_name":"Manolis Koubarakis","orcid":"https://orcid.org/0000-0002-1954-8338"},"institutions":[{"id":"https://openalex.org/I200777214","display_name":"National and Kapodistrian University of Athens","ror":"https://ror.org/04gnjpq42","country_code":"GR","type":"education","lineage":["https://openalex.org/I200777214"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Manolis Koubarakis","raw_affiliation_strings":["Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece"],"raw_orcid":"https://orcid.org/0000-0002-1954-8338","affiliations":[{"raw_affiliation_string":"Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece","institution_ids":["https://openalex.org/I200777214"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9986000061035156,"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":0.9986000061035156,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T13282","display_name":"Automated Road and Building Extraction","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.821049690246582},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.8072822093963623},{"id":"https://openalex.org/keywords/geospatial-analysis","display_name":"Geospatial analysis","score":0.7608892917633057},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6334784626960754},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5943349003791809},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5456427335739136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5160922408103943},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.5033015608787537},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35794728994369507}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.821049690246582},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8072822093963623},{"id":"https://openalex.org/C9770341","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Geospatial analysis","level":2,"score":0.7608892917633057},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6334784626960754},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5943349003791809},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5456427335739136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5160922408103943},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.5033015608787537},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35794728994369507},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3589132.3625585","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589132.3625585","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589132.3625585","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},{"id":"doi:10.5281/zenodo.10070449","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.10070449","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"ConferencePaper"}],"best_oa_location":{"id":"doi:10.1145/3589132.3625585","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589132.3625585","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589132.3625585","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.699999988079071,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4168063394","display_name":null,"funder_award_id":"101004188","funder_id":"https://openalex.org/F4320334322","funder_display_name":"HORIZON EUROPE Framework Programme"},{"id":"https://openalex.org/G4524914691","display_name":null,"funder_award_id":"HFRI-FM17-2351","funder_id":"https://openalex.org/F4320327859","funder_display_name":"Hellenic Foundation for Research and Innovation"},{"id":"https://openalex.org/G5741899482","display_name":null,"funder_award_id":"101070122","funder_id":"https://openalex.org/F4320334322","funder_display_name":"HORIZON EUROPE Framework Programme"},{"id":"https://openalex.org/G8864039602","display_name":null,"funder_award_id":"101016798","funder_id":"https://openalex.org/F4320334322","funder_display_name":"HORIZON EUROPE Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320327859","display_name":"Hellenic Foundation for Research and Innovation","ror":null},{"id":"https://openalex.org/F4320334322","display_name":"HORIZON EUROPE Framework Programme","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390100364.pdf","grobid_xml":"https://content.openalex.org/works/W4390100364.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W31497229","https://openalex.org/W1497455626","https://openalex.org/W2047008042","https://openalex.org/W2113814068","https://openalex.org/W2122865749","https://openalex.org/W2133039566","https://openalex.org/W2140190241","https://openalex.org/W2151089824","https://openalex.org/W2981021610","https://openalex.org/W2989297339","https://openalex.org/W2992985042","https://openalex.org/W3103057255","https://openalex.org/W3156911262","https://openalex.org/W3199018466","https://openalex.org/W4221063903","https://openalex.org/W4224137978","https://openalex.org/W4229377031"],"related_works":["https://openalex.org/W4367313141","https://openalex.org/W2004086023","https://openalex.org/W2733999579","https://openalex.org/W2110217573","https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4283374591","https://openalex.org/W2910751785","https://openalex.org/W4390100400","https://openalex.org/W4362512700"],"abstract_inverted_index":{"Geospatial":[0],"Interlinking":[1],"constitutes":[2],"a":[3,45,80,125,137],"crucial":[4],"data":[5],"integration":[6],"task":[7],"that":[8,48,95,129,162],"associates":[9],"pairs":[10,94],"of":[11,85,90,149,158,177],"geometries":[12],"with":[13,77,112],"topological":[14],"relations.":[15],"Its":[16],"high":[17,117,145],"computational":[18,139],"cost,":[19],"though,":[20],"scales":[21],"poorly":[22],"to":[23,31,38,98,182],"voluminous":[24],"datasets.":[25,190],"Progressive":[26],"methods":[27],"were":[28],"recently":[29],"proposed":[30],"reduce":[32],"this":[33,72],"cost":[34,115],"by":[35],"sacrificing":[36],"recall":[37],"an":[39,166],"affordable":[40],"extent.":[41],"They":[42],"operate":[43],"in":[44,180],"learning-free":[46,184],"manner":[47],"relies":[49],"on":[50,103],"mere":[51],"heuristics,":[52],"which":[53],"can":[54],"be":[55,99],"conservative":[56],"(i.e.,":[57,65],"retaining":[58],"too":[59,67],"many":[60,68],"unrelated":[61],"pairs)":[62],"or":[63],"aggressive":[64],"discarding":[66],"related":[69],"pairs).":[70],"In":[71],"work,":[73],"we":[74],"extend":[75],"them":[76],"Supervised":[78,122],"Scheduling,":[79],"quick":[81],"and":[82,147],"principled":[83],"way":[84],"defining":[86],"the":[87,91,132,144,155,159,174],"processing":[88],"order":[89],"candidate":[92],"geometry":[93],"are":[96],"likely":[97],"topologically":[100],"related,":[101],"based":[102],"their":[104],"classification":[105,168],"probability.":[106],"Our":[107,170],"approach":[108,179],"leverages":[109],"generic":[110],"features":[111,151],"low":[113,138],"extraction":[114],"but":[116],"discriminatory":[118],"power.":[119],"We":[120],"integrate":[121],"Scheduling":[123],"into":[124],"progressive":[126],"end-to-end":[127],"algorithm":[128],"automatically":[130],"labels":[131],"required":[133],"training":[134,160],"instances":[135],"at":[136],"cost.":[140],"Thorough":[141],"experiments":[142,171],"verify":[143,173],"performance":[146,176],"robustness":[148],"our":[150,178],"as":[152,154],"well":[153],"limited":[156],"size":[157],"set":[161],"suffices":[163],"for":[164],"learning":[165],"accurate":[167],"model.":[169],"also":[172],"superior":[175],"comparison":[181],"existing":[183],"ones":[185],"over":[186],"five":[187],"real,":[188],"large":[189]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}