{"id":"https://openalex.org/W4386637819","doi":"https://doi.org/10.1162/dint_a_00230","title":"A Knowledge Graph-Based Deep Learning Framework for Efficient Content Similarity Search of Sustainable Development Goals Data","display_name":"A Knowledge Graph-Based Deep Learning Framework for Efficient Content Similarity Search of Sustainable Development Goals Data","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4386637819","doi":"https://doi.org/10.1162/dint_a_00230"},"language":"en","primary_location":{"id":"doi:10.1162/dint_a_00230","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1162/dint_a_00230","pdf_url":"https://direct.mit.edu/dint/article-pdf/5/3/663/2158169/dint_a_00230.pdf","source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://direct.mit.edu/dint/article-pdf/5/3/663/2158169/dint_a_00230.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072506899","display_name":"Irene Kilanioti","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Irene Kilanioti","raw_affiliation_strings":["School of Electrical and Computer Engineering, National Technical University of Athens, 9 Heroon Polytechneiou St., Zografou Campus Athens 157 80, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical and Computer Engineering, National Technical University of Athens, 9 Heroon Polytechneiou St., Zografou Campus Athens 157 80, Greece","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033815092","display_name":"George \u0391. Papadopoulos","orcid":"https://orcid.org/0000-0001-9250-4916"},"institutions":[{"id":"https://openalex.org/I34771391","display_name":"University of Cyprus","ror":"https://ror.org/02qjrjx09","country_code":"CY","type":"education","lineage":["https://openalex.org/I34771391"]}],"countries":["CY"],"is_corresponding":true,"raw_author_name":"George A. Papadopoulos","raw_affiliation_strings":["Department of Computer Science, University of Cyprus, 1 University Avenue, Aglantzia, CY-2109, Nicosia, Cyprus"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Cyprus, 1 University Avenue, Aglantzia, CY-2109, Nicosia, Cyprus","institution_ids":["https://openalex.org/I34771391"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033815092","https://openalex.org/A5072506899"],"corresponding_institution_ids":["https://openalex.org/I174458059","https://openalex.org/I34771391"],"apc_list":null,"apc_paid":null,"fwci":0.2876,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.59664055,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"5","issue":"3","first_page":"663","last_page":"684"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11479","display_name":"Smart Cities and Technologies","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11479","display_name":"Smart Cities and Technologies","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9742000102996826,"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/T10119","display_name":"Sustainability and Climate Change Governance","score":0.9483000040054321,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6811197400093079},{"id":"https://openalex.org/keywords/sustainable-development","display_name":"Sustainable development","score":0.5227465629577637},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.47222235798835754},{"id":"https://openalex.org/keywords/cohesion","display_name":"Cohesion (chemistry)","score":0.46211957931518555},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4200665354728699},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.41724738478660583},{"id":"https://openalex.org/keywords/semantic-similarity","display_name":"Semantic similarity","score":0.41548794507980347},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4154302775859833},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3713605999946594},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.36364269256591797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30402475595474243},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.30155646800994873}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6811197400093079},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.5227465629577637},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.47222235798835754},{"id":"https://openalex.org/C104054115","wikidata":"https://www.wikidata.org/wiki/Q216828","display_name":"Cohesion (chemistry)","level":2,"score":0.46211957931518555},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4200665354728699},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.41724738478660583},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.41548794507980347},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4154302775859833},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3713605999946594},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.36364269256591797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30402475595474243},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.30155646800994873},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1162/dint_a_00230","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1162/dint_a_00230","pdf_url":"https://direct.mit.edu/dint/article-pdf/5/3/663/2158169/dint_a_00230.pdf","source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f999ccc2325642f99f63daa5d5e16bd6","is_oa":false,"landing_page_url":"https://doaj.org/article/f999ccc2325642f99f63daa5d5e16bd6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Data Intelligence, Vol 5, Iss 3 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1162/dint_a_00230","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1162/dint_a_00230","pdf_url":"https://direct.mit.edu/dint/article-pdf/5/3/663/2158169/dint_a_00230.pdf","source":{"id":"https://openalex.org/S4210186383","display_name":"Data Intelligence","issn_l":"2096-7004","issn":["2096-7004","2641-435X"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315718","host_organization_name":"The MIT Press","host_organization_lineage":["https://openalex.org/P4310315718"],"host_organization_lineage_names":["The MIT Press"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4386637819.pdf"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W3053044","https://openalex.org/W1589213590","https://openalex.org/W1776180254","https://openalex.org/W2134627110","https://openalex.org/W2157653075","https://openalex.org/W2159772324","https://openalex.org/W2507054779","https://openalex.org/W2561369310","https://openalex.org/W3080840983","https://openalex.org/W4210706440","https://openalex.org/W4313364072","https://openalex.org/W4319309552","https://openalex.org/W4385324812","https://openalex.org/W6628445530","https://openalex.org/W6630034336","https://openalex.org/W6638077226","https://openalex.org/W6645990199","https://openalex.org/W6734841403","https://openalex.org/W6767552790","https://openalex.org/W6810673614","https://openalex.org/W6848954517"],"related_works":["https://openalex.org/W2217121926","https://openalex.org/W2356003553","https://openalex.org/W1534130421","https://openalex.org/W2375916395","https://openalex.org/W2367499504","https://openalex.org/W2346502948","https://openalex.org/W3039123250","https://openalex.org/W3176621072","https://openalex.org/W2391193343","https://openalex.org/W2388687482"],"abstract_inverted_index":{"ABSTRACT":[0],"Sustainable":[1,17],"development":[2,26],"denotes":[3],"the":[4,10,22,29,44,47,51,57,79,104,125,178,212],"enhancement":[5],"of":[6,24,46,53,59,71,81,106,115,119,136,147,174,211,215,230,232,249],"living":[7,35],"standards":[8],"in":[9,36,87,103,156,172,222],"present":[11],"without":[12],"compromising":[13],"future":[14,38],"generations\u2019":[15],"resources.":[16],"Development":[18],"Goals":[19],"(SDGs)":[20],"quantify":[21],"accomplishment":[23],"sustainable":[25],"and":[27,96,99,122,138,170,194,208,234,239],"pave":[28],"way":[30],"for":[31,37,117,134,144,184,204,241],"a":[32,69,107,113,152,157],"world":[33],"worth":[34],"generations.":[39],"Scholars":[40],"can":[41,182],"contribute":[42],"to":[43,89],"achievement":[45],"SDGs":[48],"by":[49,64],"guiding":[50],"actions":[52],"practitioners":[54,185],"based":[55,73,128],"on":[56,74,124,129,236],"analysis":[58],"SDG":[60,94,187,201],"data,":[61,188],"as":[62,218,246],"intended":[63],"this":[65],"work.":[66],"We":[67],"propose":[68],"framework":[70,114],"algorithms":[72,116],"dimensionality":[75],"reduction":[76],"methods":[77],"with":[78,141,177],"use":[80],"Hilbert":[82],"Space":[83],"Filling":[84],"Curves":[85],"(HSFCs)":[86],"order":[88],"semantically":[90],"cluster":[91],"new":[92,120],"uncategorised":[93],"data":[95,145,219,250],"novel":[97],"indicators,":[98],"efficiently":[100],"place":[101],"them":[102],"environment":[105,161],"distributed":[108,158,243],"knowledge":[109,159,202,244],"graph":[110,160],"store.":[111],"First,":[112],"insertion":[118],"indicators":[121,137],"projection":[123],"HSFC":[126],"curve":[127],"their":[130],"transformer-based":[131],"similarity":[132],"assessment,":[133],"retrieval":[135,224],"load-balancing":[139],"along":[140,176],"an":[142],"approach":[143,199],"classification":[146],"entrant-indicators":[148],"is":[149,251],"described.":[150],"Then,":[151],"thorough":[153],"case":[154],"study":[155],"experimentally":[162],"evaluates":[163],"our":[164],"framework.":[165],"The":[166],"results":[167],"are":[168,220],"presented":[169],"discussed":[171],"light":[173],"theory":[175],"actual":[179],"impact":[180],"that":[181],"have":[183],"analysing":[186],"including":[189],"intergovernmental":[190],"organizations,":[191],"government":[192],"agencies":[193],"social":[195],"welfare":[196],"organizations.":[197],"Our":[198],"empowers":[200],"graphs":[203],"causal":[205],"analysis,":[206],"inference,":[207],"manifold":[209],"interpretations":[210],"societal":[213],"implications":[214],"SDG-related":[216],"actions,":[217],"accessed":[221],"reduced":[223],"times.":[225],"It":[226],"facilitates":[227],"quicker":[228],"measurement":[229],"influence":[231],"users":[233],"communities":[235],"specific":[237],"goals":[238],"serves":[240],"faster":[242],"matching,":[245],"semantic":[247],"cohesion":[248],"preserved.":[252]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}