{"id":"https://openalex.org/W4392384794","doi":"https://doi.org/10.1145/3616855.3636507","title":"Integrating Knowledge Graph Data with Large Language Models for Explainable Inference","display_name":"Integrating Knowledge Graph Data with Large Language Models for Explainable Inference","publication_year":2024,"publication_date":"2024-03-04","ids":{"openalex":"https://openalex.org/W4392384794","doi":"https://doi.org/10.1145/3616855.3636507"},"language":"en","primary_location":{"id":"doi:10.1145/3616855.3636507","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616855.3636507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"conference-paper","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/A5093115695","display_name":"Carlos Efrain Quintero-Narvaez","orcid":"https://orcid.org/0009-0004-5717-5714"},"institutions":[{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Carlos Efrain Quintero-Narvaez","raw_affiliation_strings":["Tecnologico de Monterrey, Monterrey, Mexico"],"raw_orcid":"https://orcid.org/0009-0004-5717-5714","affiliations":[{"raw_affiliation_string":"Tecnologico de Monterrey, Monterrey, Mexico","institution_ids":["https://openalex.org/I98461037"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045469910","display_name":"Ra\u00fal Monroy","orcid":"https://orcid.org/0000-0002-3465-995X"},"institutions":[{"id":"https://openalex.org/I98461037","display_name":"Tecnol\u00f3gico de Monterrey","ror":"https://ror.org/03ayjn504","country_code":"MX","type":"education","lineage":["https://openalex.org/I98461037"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Raul Monroy","raw_affiliation_strings":["Tecnologico de Monterrey, Monterrey, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-3465-995X","affiliations":[{"raw_affiliation_string":"Tecnologico de Monterrey, Monterrey, Mexico","institution_ids":["https://openalex.org/I98461037"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I98461037"],"apc_list":null,"apc_paid":null,"fwci":0.6685,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.64498506,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1198","last_page":"1199"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9958999752998352,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9857000112533569,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7911010980606079},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7221536636352539},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5145575404167175},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.4980487823486328},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.47042155265808105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46405091881752014},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.46273598074913025},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38859742879867554},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3864108920097351},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3636981248855591},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10820350050926208}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7911010980606079},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7221536636352539},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5145575404167175},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.4980487823486328},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.47042155265808105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46405091881752014},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.46273598074913025},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38859742879867554},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3864108920097351},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3636981248855591},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10820350050926208},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3616855.3636507","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616855.3636507","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":1,"referenced_works":["https://openalex.org/W4285044922"],"related_works":["https://openalex.org/W2055243143","https://openalex.org/W1603736412","https://openalex.org/W4304185162","https://openalex.org/W4321636575","https://openalex.org/W2061685118","https://openalex.org/W3006282800","https://openalex.org/W2807251790","https://openalex.org/W1510768092","https://openalex.org/W2611003898","https://openalex.org/W2230808081"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,124],"method":[3],"to":[4,9,44,95,132],"enable":[5],"Large":[6],"Language":[7,35],"Models":[8,36],"access":[10],"Knowledge":[11,48],"Graph":[12],"(KG)":[13],"data":[14,25],"and":[15,105,142],"justify":[16],"their":[17],"text":[18],"generation":[19],"by":[20,53,76],"showing":[21],"the":[22,26,55,83,101,111,115,121,134,137,144],"specific":[23],"graph":[24],"model":[27,56,122,146],"accessed":[28],"during":[29],"inference.":[30],"For":[31],"this,":[32],"we":[33,119],"combine":[34],"with":[37,91,143],"methods":[38],"from":[39],"Neurosymbolic":[40],"Artificial":[41],"Intelligence":[42],"designed":[43],"answer":[45],"queries":[46,102,138],"on":[47],"Graphs.":[49],"This":[50],"is":[51,73],"done":[52],"modifying":[54],"so":[57],"that":[58],"at":[59],"different":[60],"stages":[61],"of":[62,110,114,136],"inference":[63,112],"it":[64],"outputs":[65],"an":[66,77,108],"Existential":[67],"Positive":[68],"First-Order":[69],"(EPFO)":[70],"query,":[71],"which":[72],"then":[74],"processed":[75],"additional":[78],"query":[79,84],"appendix.":[80],"In":[81],"turn,":[82],"appendix":[85],"uses":[86],"neural":[87],"link":[88],"predictors":[89],"along":[90],"description":[92],"aware":[93],"embeddings":[94],"resolve":[96],"these":[97],"queries.":[98],"After":[99],"that,":[100],"are":[103],"logged":[104],"used":[106],"as":[107],"explanation":[109],"process":[113],"complete":[116],"model.":[117],"Lastly,":[118],"train":[120],"using":[123],"Linear":[125],"Temporal":[126],"Logic":[127],"(LTL)":[128],"constraint-based":[129],"loss":[130],"function":[131],"measure":[133],"consistency":[135],"among":[139],"each":[140],"other":[141],"final":[145],"output.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}