{"id":"https://openalex.org/W7128064982","doi":"https://doi.org/10.3390/bdcc10020051","title":"Hybrid Method of Organizing Information Search in Logistics Systems Based on Vector-Graph Structure and Large Language Models","display_name":"Hybrid Method of Organizing Information Search in Logistics Systems Based on Vector-Graph Structure and Large Language Models","publication_year":2026,"publication_date":"2026-02-05","ids":{"openalex":"https://openalex.org/W7128064982","doi":"https://doi.org/10.3390/bdcc10020051"},"language":"en","primary_location":{"id":"doi:10.3390/bdcc10020051","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc10020051","pdf_url":null,"source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/bdcc10020051","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042507842","display_name":"V.I. Voloshchuk","orcid":"https://orcid.org/0009-0003-0336-9305"},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Vadim Voloshchuk","raw_affiliation_strings":["R&D Institute of Robotics and Control Systems, Southern Federal University, 105/42 Bolshaya Sadovaya Str., Rostov-on-Don 344006, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"R&D Institute of Robotics and Control Systems, Southern Federal University, 105/42 Bolshaya Sadovaya Str., Rostov-on-Don 344006, Russia","institution_ids":["https://openalex.org/I137534880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060239688","display_name":"Y. E. Melnik","orcid":"https://orcid.org/0000-0002-2331-2010"},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Yaroslav Melnik","raw_affiliation_strings":["Institute of Computer Technologies and Information Security, Southern Federal University, 105/42 Bolshaya Sadovaya Str., Rostov-on-Don 344006, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Technologies and Information Security, Southern Federal University, 105/42 Bolshaya Sadovaya Str., Rostov-on-Don 344006, Russia","institution_ids":["https://openalex.org/I137534880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065487021","display_name":"Irina Safronenkova","orcid":"https://orcid.org/0000-0002-9588-2194"},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Irina Safronenkova","raw_affiliation_strings":["R&D Institute of Robotics and Control Systems, Southern Federal University, 105/42 Bolshaya Sadovaya Str., Rostov-on-Don 344006, Russia"],"raw_orcid":"https://orcid.org/0000-0002-9588-2194","affiliations":[{"raw_affiliation_string":"R&D Institute of Robotics and Control Systems, Southern Federal University, 105/42 Bolshaya Sadovaya Str., Rostov-on-Don 344006, Russia","institution_ids":["https://openalex.org/I137534880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125250770","display_name":"Egor Lishchenko","orcid":null},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Egor Lishchenko","raw_affiliation_strings":["Institute of Computer Technologies and Information Security, Southern Federal University, 105/42 Bolshaya Sadovaya Str., Rostov-on-Don 344006, Russia"],"raw_orcid":"https://orcid.org/0009-0008-6104-6084","affiliations":[{"raw_affiliation_string":"Institute of Computer Technologies and Information Security, Southern Federal University, 105/42 Bolshaya Sadovaya Str., Rostov-on-Don 344006, Russia","institution_ids":["https://openalex.org/I137534880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006124238","display_name":"Oleg O. Kartashov","orcid":"https://orcid.org/0000-0002-1260-8676"},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Oleg Kartashov","raw_affiliation_strings":["The Smart Materials Research Institute, Southern Federal University, 178/24 Sladkova Str., Rostov-on-Don 344090, Russia"],"raw_orcid":"https://orcid.org/0000-0002-1260-8676","affiliations":[{"raw_affiliation_string":"The Smart Materials Research Institute, Southern Federal University, 178/24 Sladkova Str., Rostov-on-Don 344090, Russia","institution_ids":["https://openalex.org/I137534880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112592018","display_name":"Alexander Kozlovskiy","orcid":null},"institutions":[{"id":"https://openalex.org/I137534880","display_name":"Southern Federal University","ror":"https://ror.org/01tv9ph92","country_code":"RU","type":"education","lineage":["https://openalex.org/I137534880"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Alexander Kozlovskiy","raw_affiliation_strings":["Institute of Computer Technologies and Information Security, Southern Federal University, 105/42 Bolshaya Sadovaya Str., Rostov-on-Don 344006, Russia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Technologies and Information Security, Southern Federal University, 105/42 Bolshaya Sadovaya Str., Rostov-on-Don 344006, Russia","institution_ids":["https://openalex.org/I137534880"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5042507842"],"corresponding_institution_ids":["https://openalex.org/I137534880"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18951438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"2","first_page":"51","last_page":"51"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.03849999979138374,"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":0.03849999979138374,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.0357000008225441,"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/T13816","display_name":"Advanced Signal Processing Techniques","score":0.02969999983906746,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.694100022315979},{"id":"https://openalex.org/keywords/tree-traversal","display_name":"Tree traversal","score":0.5151000022888184},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4855000078678131},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4481000006198883},{"id":"https://openalex.org/keywords/graph-traversal","display_name":"Graph traversal","score":0.4408000111579895},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43639999628067017},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4352000057697296},{"id":"https://openalex.org/keywords/information-system","display_name":"Information system","score":0.4023999869823456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8003000020980835},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.694100022315979},{"id":"https://openalex.org/C140745168","wikidata":"https://www.wikidata.org/wiki/Q1210082","display_name":"Tree traversal","level":2,"score":0.5151000022888184},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4855000078678131},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4481000006198883},{"id":"https://openalex.org/C96333769","wikidata":"https://www.wikidata.org/wiki/Q907955","display_name":"Graph traversal","level":3,"score":0.4408000111579895},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43970000743865967},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4352000057697296},{"id":"https://openalex.org/C180198813","wikidata":"https://www.wikidata.org/wiki/Q121182","display_name":"Information system","level":2,"score":0.4023999869823456},{"id":"https://openalex.org/C87868495","wikidata":"https://www.wikidata.org/wiki/Q750843","display_name":"Information processing","level":2,"score":0.38280001282691956},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.34700000286102295},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.3407000005245209},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.336899995803833},{"id":"https://openalex.org/C50897621","wikidata":"https://www.wikidata.org/wiki/Q2665508","display_name":"Hybrid system","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.32190001010894775},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.2793000042438507},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27720001339912415},{"id":"https://openalex.org/C116409475","wikidata":"https://www.wikidata.org/wiki/Q1385056","display_name":"External Data Representation","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25429999828338623}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/bdcc10020051","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc10020051","pdf_url":null,"source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:cda3cac8df0d4cfc8afce26ba606a11f","is_oa":false,"landing_page_url":"https://doaj.org/article/cda3cac8df0d4cfc8afce26ba606a11f","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":"Big Data and Cognitive Computing, Vol 10, Iss 2, p 51 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/bdcc10020051","is_oa":true,"landing_page_url":"https://doi.org/10.3390/bdcc10020051","pdf_url":null,"source":{"id":"https://openalex.org/S4210238752","display_name":"Big Data and Cognitive Computing","issn_l":"2504-2289","issn":["2504-2289"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Big Data and Cognitive Computing","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"logistics":[1,36,176],"systems,":[2],"the":[3,29,32,35,52,59,62,66,69,83,99,117,123,135,138,144,148],"organization":[4],"of":[5,34,43,54,61,86,106,119,137,147,154,172],"information":[6,75,189],"retrieval":[7,76,190],"plays":[8],"a":[9,73,87],"key":[10],"role":[11],"in":[12,191],"human":[13],"interaction":[14],"with":[15,112],"technical":[16],"systems":[17],"to":[18,130,134,157,175,184],"ensure":[19],"decision-making":[20],"speed,":[21],"route":[22],"optimization,":[23],"planning,":[24],"and":[25,45,58,92,165,179],"resource":[26],"allocation.":[27],"At":[28],"same":[30],"time,":[31],"efficiency":[33],"system":[37,177],"when":[38,142],"simultaneously":[39],"processing":[40,55,167],"large":[41,93],"volumes":[42],"data":[44,89],"constantly":[46],"updating":[47],"it":[48],"is":[49],"determined":[50],"by":[51,65],"speed":[53],"user":[56],"requests":[57],"accuracy":[60,104],"responses":[63],"provided":[64],"system.":[67],"Within":[68],"retrieval-augmented":[70],"generation":[71],"architecture,":[72],"hybrid":[74,100,149],"method":[77,101],"has":[78],"been":[79],"proposed,":[80],"based":[81],"on":[82],"combined":[84],"use":[85],"vector-graph":[88],"representation":[90],"structure":[91],"language":[94],"model.":[95],"Experiments":[96],"showed":[97],"that":[98],"achieved":[102],"best":[103],"rates":[105],"0.24\u20130.25":[107],"(among":[108],"all":[109],"considered":[110],"methods)":[111],"enhanced":[113],"scalability":[114],"capabilities":[115],"(when":[116],"number":[118],"nodes":[120,156],"increases":[121,125],"fourfold,":[122],"time":[124],"only":[126],"twofold\u2014from":[127],"0.09":[128],"s":[129],"0.20":[131],"s)":[132],"due":[133],"limitation":[136],"graph":[139,145],"traversal":[140],"area":[141],"implementing":[143],"component":[146],"search.":[150],"An":[151],"optimal":[152],"range":[153],"30\u201350":[155],"be":[158],"traversed":[159],"was":[160],"also":[161],"identified,":[162],"balancing":[163],"precision":[164],"query":[166],"speed.":[168],"The":[169],"findings":[170],"are":[171],"practical":[173],"value":[174],"developers":[178],"supply":[180],"chain":[181],"managers":[182],"aiming":[183],"implement":[185],"high-precision,":[186],"natural":[187],"language-based":[188],"dynamic":[192],"operational":[193],"environments.":[194]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-07T00:00:00"}