{"id":"https://openalex.org/W4387802676","doi":"https://doi.org/10.1109/igarss52108.2023.10283448","title":"Self-Learning Ontology for Natural Hazards","display_name":"Self-Learning Ontology for Natural Hazards","publication_year":2023,"publication_date":"2023-07-16","ids":{"openalex":"https://openalex.org/W4387802676","doi":"https://doi.org/10.1109/igarss52108.2023.10283448"},"language":"en","primary_location":{"id":"doi:10.1109/igarss52108.2023.10283448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10283448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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/A5026513524","display_name":"Ion Grujdin","orcid":null},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Ion Grujdin","raw_affiliation_strings":["University Politehnica of Bucharest,CEOSpaceTech,Romania","CEOSpaceTech, University Politehnica of Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest,CEOSpaceTech,Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"CEOSpaceTech, University Politehnica of Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032370631","display_name":"Mihai Datcu","orcid":"https://orcid.org/0000-0002-3477-9687"},"institutions":[{"id":"https://openalex.org/I2898391981","display_name":"Deutsches Zentrum f\u00fcr Luft- und Raumfahrt e. V. (DLR)","ror":"https://ror.org/04bwf3e34","country_code":"DE","type":"facility","lineage":["https://openalex.org/I1305996414","https://openalex.org/I2898391981"]},{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["DE","RO"],"is_corresponding":false,"raw_author_name":"Mihai Datcu","raw_affiliation_strings":["University Politehnica of Bucharest,CEOSpaceTech,Romania","Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany","CEOSpaceTech, University Politehnica of Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest,CEOSpaceTech,Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"Remote Sensing Technology Institute, German Aerospace Center (DLR), Germany","institution_ids":["https://openalex.org/I2898391981"]},{"raw_affiliation_string":"CEOSpaceTech, University Politehnica of Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5026513524"],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20026837,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2227","last_page":"2230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9858999848365784,"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/T10689","display_name":"Remote-Sensing Image Classification","score":0.9858999848365784,"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/T10895","display_name":"Species Distribution and Climate Change","score":0.9768999814987183,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.91839998960495,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8567346930503845},{"id":"https://openalex.org/keywords/ontology","display_name":"Ontology","score":0.7330756187438965},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7195976376533508},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5627310872077942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5574743151664734},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4891493618488312},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4444783627986908},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3214341998100281},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.18373531103134155},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07585340738296509}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8567346930503845},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.7330756187438965},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7195976376533508},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5627310872077942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5574743151664734},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4891493618488312},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4444783627986908},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3214341998100281},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.18373531103134155},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07585340738296509},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss52108.2023.10283448","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss52108.2023.10283448","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium","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":9,"referenced_works":["https://openalex.org/W2071117963","https://openalex.org/W2134927309","https://openalex.org/W3049588019","https://openalex.org/W3091174939","https://openalex.org/W4256279807","https://openalex.org/W4297730339","https://openalex.org/W4362717754","https://openalex.org/W6747227044","https://openalex.org/W6759201172"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W4248336175","https://openalex.org/W2031260042","https://openalex.org/W2391445434","https://openalex.org/W3009369890","https://openalex.org/W4312490297","https://openalex.org/W2062212388"],"abstract_inverted_index":{"A":[0,36],"neuro-symbolic":[1],"construct":[2],"is":[3],"proposed":[4],"to":[5,74,120,130],"provide":[6],"a":[7,79,106,131],"fast,":[8],"trustworthy,":[9],"and":[10,15,43,55,61,68,87,113],"explainable":[11],"way":[12],"for":[13,65,83],"detecting":[14],"monitoring":[16],"the":[17,76,99],"natural":[18,84],"hazards,":[19],"mainly":[20],"based":[21],"on":[22,98],"remote":[23],"sensing":[24],"Earth":[25],"Observation":[26],"imagery":[27],"but":[28,102],"also":[29],"supported":[30],"by":[31],"other":[32],"kind":[33],"of":[34,38,78,92],"information.":[35],"combination":[37],"Graph":[39],"Convolutional":[40,44],"Network":[41,46],"(GCN)":[42],"Neural":[45],"(CNN)":[47],"models,":[48],"together":[49],"with":[50],"some":[51],"traditional":[52],"programming":[53,69],"methods":[54],"techniques":[56],"-":[57],"image":[58],"processing":[59],"algorithms":[60],"libraries,":[62],"dedicated":[63],"libraries":[64],"ontology":[66,81],"building":[67],"interface,":[70],"have":[71],"been":[72],"selected":[73],"support":[75],"implementation":[77],"self-supervised":[80],"learning":[82],"hazard":[85],"identification":[86],"monitoring.":[88],"The":[89],"specific":[90,100],"use":[91,110],"CNN":[93,112,116],"or":[94],"GCN":[95],"will":[96],"depend":[97],"tasks,":[101],"here":[103],"we":[104],"consider":[105],"hybrid":[107],"approach":[108],"that":[109],"both":[111],"GCN,":[114],"where":[115],"could":[117],"be":[118],"used":[119],"extract":[121],"features":[122],"from":[123],"images":[124],"which":[125],"then":[126],"serves":[127],"as":[128],"inputs":[129],"GCN.":[132]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
