{"id":"https://openalex.org/W4389613402","doi":"https://doi.org/10.3233/sw-233508","title":"Sem@K: Is my knowledge graph embedding model semantic-aware?","display_name":"Sem@K: Is my knowledge graph embedding model semantic-aware?","publication_year":2023,"publication_date":"2023-12-12","ids":{"openalex":"https://openalex.org/W4389613402","doi":"https://doi.org/10.3233/sw-233508"},"language":"en","primary_location":{"id":"doi:10.3233/sw-233508","is_oa":true,"landing_page_url":"https://doi.org/10.3233/sw-233508","pdf_url":"https://content.iospress.com:443/download/semantic-web/sw233508?id=semantic-web%2Fsw233508","source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS 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":"Semantic Web","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://content.iospress.com:443/download/semantic-web/sw233508?id=semantic-web%2Fsw233508","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018878315","display_name":"Nicolas Hubert","orcid":"https://orcid.org/0000-0002-4682-422X"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I4387154775","display_name":"\u00c9quipe de Recherche sur les Processus Innovatifs","ror":"https://ror.org/01hntn815","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387154775","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Nicolas Hubert","raw_affiliation_strings":["Universit\u00e9 de Lorraine, CNRS, LORIA, France","Universit\u00e9 de Lorraine, ERPI, France","BIRD - Building artificial Intelligence between trust, Responsibility and Decision (France)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, LORIA, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I4210121838","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Universit\u00e9 de Lorraine, ERPI, France","institution_ids":["https://openalex.org/I4387154775","https://openalex.org/I90183372"]},{"raw_affiliation_string":"BIRD - Building artificial Intelligence between trust, Responsibility and Decision (France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088952442","display_name":"Pierre Monnin","orcid":"https://orcid.org/0000-0002-2017-8426"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Pierre Monnin","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d\u2019Azur, Inria, CNRS, I3S, France","WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d\u2019Azur, Inria, CNRS, I3S, France","institution_ids":["https://openalex.org/I1326498283","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics (France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103222074","display_name":"Armelle Brun","orcid":"https://orcid.org/0000-0002-9876-6906"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I4210121838","display_name":"Laboratoire Lorrain de Recherche en Informatique et ses Applications","ror":"https://ror.org/02vnf0c38","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I277688954","https://openalex.org/I4210107720","https://openalex.org/I4210121838","https://openalex.org/I4210159245","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Armelle Brun","raw_affiliation_strings":["Universit\u00e9 de Lorraine, CNRS, LORIA, France","BIRD - Building artificial Intelligence between trust, Responsibility and Decision (France)"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lorraine, CNRS, LORIA, France","institution_ids":["https://openalex.org/I90183372","https://openalex.org/I4210121838","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"BIRD - Building artificial Intelligence between trust, Responsibility and Decision (France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026047589","display_name":"Davy Monticolo","orcid":"https://orcid.org/0000-0002-4244-684X"},"institutions":[{"id":"https://openalex.org/I4387154775","display_name":"\u00c9quipe de Recherche sur les Processus Innovatifs","ror":"https://ror.org/01hntn815","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387154775","https://openalex.org/I90183372"]},{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Davy Monticolo","raw_affiliation_strings":["Universit\u00e9 de Lorraine, ERPI, France"],"affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Lorraine, ERPI, France","institution_ids":["https://openalex.org/I4387154775","https://openalex.org/I90183372"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018878315"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I4210121838","https://openalex.org/I4387154775","https://openalex.org/I90183372"],"apc_list":null,"apc_paid":null,"fwci":2.0664,"has_fulltext":true,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89800253,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"14","issue":"6","first_page":"1273","last_page":"1309"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9908999800682068,"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/T11719","display_name":"Data Quality and Management","score":0.9696999788284302,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.7022866010665894},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.6837204694747925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6822665929794312},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6769947409629822},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5139924883842468},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5101121068000793},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.47851431369781494},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4760182499885559},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4301843047142029},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4183928966522217},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40133580565452576},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3903180956840515},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3536677658557892},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33686134219169617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33392032980918884},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32153987884521484},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23764142394065857}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.7022866010665894},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6837204694747925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6822665929794312},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6769947409629822},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5139924883842468},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5101121068000793},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.47851431369781494},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4760182499885559},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4301843047142029},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4183928966522217},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40133580565452576},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3903180956840515},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3536677658557892},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33686134219169617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33392032980918884},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32153987884521484},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23764142394065857},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/sw-233508","is_oa":true,"landing_page_url":"https://doi.org/10.3233/sw-233508","pdf_url":"https://content.iospress.com:443/download/semantic-web/sw233508?id=semantic-web%2Fsw233508","source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS 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":"Semantic Web","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-04344975v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-04344975","pdf_url":"https://inria.hal.science/hal-04344975v1/file/2301.05601.pdf","source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Semantic Web \u2013 Interoperability, Usability, Applicability, 2023, 14 (6), pp.1273-1309. ⟨10.3233/SW-233508⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"doi:10.3233/sw-233508","is_oa":true,"landing_page_url":"https://doi.org/10.3233/sw-233508","pdf_url":"https://content.iospress.com:443/download/semantic-web/sw233508?id=semantic-web%2Fsw233508","source":{"id":"https://openalex.org/S4210177235","display_name":"Semantic Web","issn_l":"1570-0844","issn":["1570-0844","2210-4968"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS 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":"Semantic Web","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7758152977","display_name":null,"funder_award_id":"support","funder_id":"https://openalex.org/F4320322892","funder_display_name":"Centre National de la Recherche Scientifique"}],"funders":[{"id":"https://openalex.org/F4320322892","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389613402.pdf","grobid_xml":"https://content.openalex.org/works/W4389613402.grobid-xml"},"referenced_works_count":65,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W1529533208","https://openalex.org/W1659833910","https://openalex.org/W2022166150","https://openalex.org/W2081580037","https://openalex.org/W2087739686","https://openalex.org/W2094728533","https://openalex.org/W2107306718","https://openalex.org/W2123457740","https://openalex.org/W2136480620","https://openalex.org/W2137079713","https://openalex.org/W2151502664","https://openalex.org/W2226877337","https://openalex.org/W2250184916","https://openalex.org/W2250342289","https://openalex.org/W2283196293","https://openalex.org/W2300469216","https://openalex.org/W2514852614","https://openalex.org/W2604314403","https://openalex.org/W2759136286","https://openalex.org/W2774837955","https://openalex.org/W2890216969","https://openalex.org/W2914592219","https://openalex.org/W2946476638","https://openalex.org/W2950393809","https://openalex.org/W2950604577","https://openalex.org/W2951105272","https://openalex.org/W2962886429","https://openalex.org/W2963119656","https://openalex.org/W2963469133","https://openalex.org/W2966298461","https://openalex.org/W2971045469","https://openalex.org/W2997837621","https://openalex.org/W2997897037","https://openalex.org/W3003265726","https://openalex.org/W3008392753","https://openalex.org/W3028709955","https://openalex.org/W3030709095","https://openalex.org/W3034374701","https://openalex.org/W3099387504","https://openalex.org/W3099442761","https://openalex.org/W3099836348","https://openalex.org/W3101443751","https://openalex.org/W3103296573","https://openalex.org/W3120491054","https://openalex.org/W3138149011","https://openalex.org/W3153600274","https://openalex.org/W3164758947","https://openalex.org/W3165720681","https://openalex.org/W3169172630","https://openalex.org/W3170500823","https://openalex.org/W3174206097","https://openalex.org/W3176946744","https://openalex.org/W3194849385","https://openalex.org/W3201736551","https://openalex.org/W3208785685","https://openalex.org/W3208791567","https://openalex.org/W3209930753","https://openalex.org/W3216178672","https://openalex.org/W3217272865","https://openalex.org/W4281935531","https://openalex.org/W4292407949","https://openalex.org/W4310024799","https://openalex.org/W6820354850","https://openalex.org/W6963905147"],"related_works":["https://openalex.org/W2604454537","https://openalex.org/W2808284704","https://openalex.org/W2897702399","https://openalex.org/W4206028705","https://openalex.org/W2757431232","https://openalex.org/W2954554213","https://openalex.org/W4206547516","https://openalex.org/W4293236197","https://openalex.org/W4292070284","https://openalex.org/W2977618689"],"abstract_inverted_index":{"Using":[0],"knowledge":[1,14],"graph":[2],"embedding":[3],"models":[4,76],"(KGEMs)":[5],"is":[6,25,59,165],"a":[7,90,131,220],"popular":[8],"approach":[9],"for":[10,22,219,227],"predicting":[11],"links":[12],"in":[13,61],"graphs":[15],"(KGs).":[16],"Traditionally,":[17],"the":[18,42,46,73,116,147,181,192,202,209,217],"performance":[19,170,183],"of":[20,75,93,106,118,150,168,184,194,196,201,211,224],"KGEMs":[21,119,155,185],"link":[23],"prediction":[24],"assessed":[26],"using":[27],"rank-based":[28,141,172,187],"metrics,":[29],"which":[30],"evaluate":[31],"their":[32,97,169],"ability":[33],"to":[34,38,56,77,102,114],"give":[35],"high":[36],"scores":[37],"ground-truth":[39],"entities.":[40],"However,":[41],"literature":[43],"claims":[44],"that":[45,71,128],"KGEM":[47,135,225],"evaluation":[48,223],"procedure":[49],"would":[50],"benefit":[51],"from":[52],"adding":[53],"supplementary":[54],"dimensions":[55],"assess.":[57],"That":[58],"why,":[60],"this":[62,162,175],"paper,":[63],"we":[64,88,177],"extend":[65],"our":[66,123],"previously":[67],"introduced":[68],"metric":[69],"Sem@K":[70,129],"measures":[72],"capability":[74],"predict":[78],"valid":[79],"entities":[80],"w.r.t.":[81,171,186],"domain":[82],"and":[83,95,188],"range":[84,92],"constraints.":[85],"In":[86,174],"particular,":[87],"consider":[89],"broad":[91],"KGs":[94],"take":[96],"respective":[98],"characteristics":[99],"into":[100,208],"account":[101],"propose":[103],"different":[104,144],"versions":[105],"Sem@K.":[107],"We":[108],"also":[109],"perform":[110],"an":[111],"extensive":[112],"study":[113],"qualify":[115],"abilities":[117],"as":[120],"measured":[121],"by":[122],"metric.":[124],"Our":[125],"experiments":[126],"show":[127],"provides":[130],"new":[132],"perspective":[133],"on":[134,146],"quality.":[136],"Its":[137],"joint":[138,199],"analysis":[139,200],"with":[140],"metrics":[142,190,204],"offers":[143],"conclusions":[145,179],"predictive":[148],"power":[149],"models.":[151,197],"Regarding":[152],"Sem@K,":[153],"some":[154],"are":[156],"inherently":[157],"better":[158],"than":[159],"others,":[160],"but":[161],"semantic":[163],"superiority":[164],"not":[166],"indicative":[167],"metrics.":[173],"work,":[176],"generalize":[178],"about":[180],"relative":[182],"semantic-oriented":[189],"at":[191],"level":[193],"families":[195],"The":[198],"aforementioned":[203],"gives":[205],"more":[206,221],"insight":[207],"peculiarities":[210],"each":[212],"model.":[213],"This":[214],"work":[215],"paves":[216],"way":[218],"comprehensive":[222],"adequacy":[226],"specific":[228],"downstream":[229],"tasks.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}