{"id":"https://openalex.org/W4413241467","doi":"https://doi.org/10.1142/s0218194025500421","title":"Fuzzy Constraints for Knowledge Graph Embeddings","display_name":"Fuzzy Constraints for Knowledge Graph Embeddings","publication_year":2025,"publication_date":"2025-08-09","ids":{"openalex":"https://openalex.org/W4413241467","doi":"https://doi.org/10.1142/s0218194025500421"},"language":"en","primary_location":{"id":"doi:10.1142/s0218194025500421","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194025500421","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://lirias.kuleuven.be/handle/20.500.12942/778608","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064474162","display_name":"Michael Weyns","orcid":"https://orcid.org/0000-0002-6157-5997"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Michael Weyns","raw_affiliation_strings":["IDLab, Ghent University-imec, Technologiepark-Zwijnaarde 126, B-9052 Gent, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-6157-5997","affiliations":[{"raw_affiliation_string":"IDLab, Ghent University-imec, Technologiepark-Zwijnaarde 126, B-9052 Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041325506","display_name":"Pieter Bonte","orcid":"https://orcid.org/0000-0002-8931-8343"},"institutions":[{"id":"https://openalex.org/I4210167363","display_name":"Vlakwa","ror":"https://ror.org/05txhgq68","country_code":"BE","type":"nonprofit","lineage":["https://openalex.org/I4210167363"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Pieter Bonte","raw_affiliation_strings":["Department of Computer Science, KU Leuven Campus Kulak, Etienne Sabbelaan 53, 8500 Kortrijk, Belgium"],"raw_orcid":"https://orcid.org/0000-0002-8931-8343","affiliations":[{"raw_affiliation_string":"Department of Computer Science, KU Leuven Campus Kulak, Etienne Sabbelaan 53, 8500 Kortrijk, Belgium","institution_ids":["https://openalex.org/I4210167363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051784384","display_name":"Filip De Turck","orcid":"https://orcid.org/0000-0003-4824-1199"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Filip De Turck","raw_affiliation_strings":["IDLab, Ghent University-imec, Technologiepark-Zwijnaarde 126, B-9052 Gent, Belgium"],"raw_orcid":"https://orcid.org/0000-0003-4824-1199","affiliations":[{"raw_affiliation_string":"IDLab, Ghent University-imec, Technologiepark-Zwijnaarde 126, B-9052 Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008111431","display_name":"Femke Ongenae","orcid":"https://orcid.org/0000-0003-2529-5477"},"institutions":[{"id":"https://openalex.org/I32597200","display_name":"Ghent University","ror":"https://ror.org/00cv9y106","country_code":"BE","type":"education","lineage":["https://openalex.org/I32597200"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Femke Ongenae","raw_affiliation_strings":["IDLab, Ghent University-imec, Technologiepark-Zwijnaarde 126, B-9052 Gent, Belgium"],"raw_orcid":"https://orcid.org/0000-0003-2529-5477","affiliations":[{"raw_affiliation_string":"IDLab, Ghent University-imec, Technologiepark-Zwijnaarde 126, B-9052 Gent, Belgium","institution_ids":["https://openalex.org/I32597200"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07854108,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"01","first_page":"1","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9289000034332275,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9289000034332275,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9236000180244446,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.9060999751091003,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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":0.5518451929092407},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4751037359237671},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4648036062717438},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.46091228723526},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3624769449234009},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34760522842407227},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3292948007583618}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5518451929092407},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4751037359237671},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4648036062717438},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.46091228723526},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3624769449234009},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34760522842407227},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3292948007583618}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1142/s0218194025500421","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218194025500421","pdf_url":null,"source":{"id":"https://openalex.org/S131442419","display_name":"International Journal of Software Engineering and Knowledge Engineering","issn_l":"0218-1940","issn":["0218-1940","1793-6403"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Engineering and Knowledge Engineering","raw_type":"journal-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/778608","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/778608","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"International Journal Of Software Engineering And Knowledge Engineering","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:archive.ugent.be:01KAZHAG4JM4VMXK9KNAH406A1","is_oa":false,"landing_page_url":"https://biblio.ugent.be/publication/01KAZHAG4JM4VMXK9KNAH406A1","pdf_url":null,"source":{"id":"https://openalex.org/S4306400478","display_name":"Ghent University Academic Bibliography (Ghent University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I32597200","host_organization_name":"Ghent University","host_organization_lineage":["https://openalex.org/I32597200"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISSN: 1793-6403","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:lirias2repo.kuleuven.be:20.500.12942/778608","is_oa":true,"landing_page_url":"https://lirias.kuleuven.be/handle/20.500.12942/778608","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"International Journal Of Software Engineering And Knowledge Engineering","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W340632675","https://openalex.org/W1529533208","https://openalex.org/W2078066200","https://openalex.org/W2102363952","https://openalex.org/W2226877337","https://openalex.org/W2247119764","https://openalex.org/W2250184916","https://openalex.org/W2250376704","https://openalex.org/W2283196293","https://openalex.org/W2460423734","https://openalex.org/W2521492858","https://openalex.org/W2523679382","https://openalex.org/W2759136286","https://openalex.org/W2901992322","https://openalex.org/W2903783086","https://openalex.org/W2972967434","https://openalex.org/W2978389014","https://openalex.org/W2980763157","https://openalex.org/W3001136857","https://openalex.org/W3032390337","https://openalex.org/W3165720681","https://openalex.org/W3176946744","https://openalex.org/W3201736551","https://openalex.org/W4205856571","https://openalex.org/W4211007335","https://openalex.org/W4213241881","https://openalex.org/W4307724846","https://openalex.org/W4396906464","https://openalex.org/W4397029704"],"related_works":["https://openalex.org/W4379210901","https://openalex.org/W4402386886","https://openalex.org/W3093644965","https://openalex.org/W3092243156","https://openalex.org/W3191833430","https://openalex.org/W4292070284","https://openalex.org/W3128908425","https://openalex.org/W4285224357","https://openalex.org/W3166218992","https://openalex.org/W2239515625"],"abstract_inverted_index":{"Knowledge":[0],"graph":[1],"embeddings":[2],"can":[3,37,203],"be":[4,14,23],"trained":[5],"to":[6,13,22,39,54,63,70,94,122,189,205,229,247],"infer":[7],"which":[8,60,153],"missing":[9],"facts":[10],"are":[11],"likely":[12],"true.":[15],"For":[16],"this,":[17],"false":[18],"training":[19],"examples":[20],"need":[21],"derived":[24],"from":[25],"the":[26,34,41,72,84,96,103,127,156,192,207],"available":[27],"set":[28,147],"of":[29,59,66,74,86,98,113,145,158,191,209],"positive":[30],"facts,":[31],"so":[32,118],"that":[33,177,198],"embedding":[35],"models":[36],"learn":[38],"recognize":[40],"boundary":[42],"between":[43],"fact":[44],"and":[45,116,149,173,201],"fiction.":[46],"Various":[47],"negative":[48,76,128,138,194,211,217,235],"sampling":[49,129,139,195,218,236],"strategies":[50,107],"have":[51,61,92,117],"been":[52],"proposed":[53],"tackle":[55],"this":[56],"issue,":[57],"some":[58],"tried":[62,93],"make":[64],"use":[65],"axiomatic":[67,151],"knowledge":[68],"claims":[69],"minimize":[71],"number":[73,97],"nonsensical":[75],"samples":[77],"being":[78],"generated.":[79],"By":[80],"putting":[81],"constraints":[82],"on":[83,110,142,169,222,240],"construction":[85],"each":[87],"candidate":[88],"sample,":[89],"these":[90,133,178],"techniques":[91],"maximize":[95],"true":[99],"negatives":[100],"outputted":[101],"by":[102],"procedure.":[104,130],"However,":[105],"such":[106],"rely":[108],"exclusively":[109],"binary":[111],"interpretations":[112],"constraint-based":[114],"reasoning":[115],"far":[119],"also":[120],"failed":[121],"incorporate":[123],"literal-valued":[124],"entities":[125],"into":[126],"To":[131],"alleviate":[132],"shortcomings,":[134],"we":[135,175],"propose":[136],"a":[137,143],"strategy":[140],"based":[141],"combination":[144],"fuzzy":[146,199,216,234],"theory":[148],"strict":[150],"semantics,":[152],"allow":[154],"for":[155],"incorporation":[157],"literal-awareness":[159,202],"when":[160],"determining":[161],"domain":[162],"or":[163],"range":[164],"membership":[165],"values.":[166],"When":[167],"evaluated":[168],"benchmark":[170],"datasets":[171],"AIFB":[172],"MUTAG,":[174,232],"found":[176],"improvements":[179],"offered":[180],"significant":[181],"performance":[182,226,244],"gains":[183,227,245],"across":[184],"multiple":[185],"metrics":[186],"with":[187,225,243],"respect":[188],"state":[190],"art":[193],"techniques,":[196],"suggesting":[197],"semantics":[200],"help":[204],"improve":[206],"quality":[208],"generated":[210],"samples.":[212],"On":[213,231],"AIFB,":[214],"our":[215,233],"approach":[219,237],"outperforms":[220,238],"baselines":[221,239],"four":[223],"metrics,":[224,242],"up":[228,246],"17.14%.":[230],"eight":[241],"55.49%.":[248]},"counts_by_year":[],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}