{"id":"https://openalex.org/W7124892031","doi":"https://doi.org/10.1109/cloudcom67567.2025.11331500","title":"Agentic AI for Knowledge Graph Construction and Evolution in Cloud-Edge Federated Environments","display_name":"Agentic AI for Knowledge Graph Construction and Evolution in Cloud-Edge Federated Environments","publication_year":2025,"publication_date":"2025-11-14","ids":{"openalex":"https://openalex.org/W7124892031","doi":"https://doi.org/10.1109/cloudcom67567.2025.11331500"},"language":null,"primary_location":{"id":"doi:10.1109/cloudcom67567.2025.11331500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cloudcom67567.2025.11331500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 lEEE International Conference on Cloud Computing Technology and Science (CloudCom)","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/A5047335050","display_name":"Phani Rohitha Kaza","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Phani Rohitha Kaza","raw_affiliation_strings":["Arizona State University,Tempe,AZ"],"affiliations":[{"raw_affiliation_string":"Arizona State University,Tempe,AZ","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116267197","display_name":"Vinay Chowdary Manduva","orcid":null},"institutions":[{"id":"https://openalex.org/I201448701","display_name":"University of Washington","ror":"https://ror.org/00cvxb145","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vinay Chowdary Manduva","raw_affiliation_strings":["University of Washington,Seattle,WA,USA,98195"],"affiliations":[{"raw_affiliation_string":"University of Washington,Seattle,WA,USA,98195","institution_ids":["https://openalex.org/I201448701"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047335050"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86446347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9014000296592712,"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":0.9014000296592712,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.01889999955892563,"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"}},{"id":"https://openalex.org/T14347","display_name":"Big Data and Digital Economy","score":0.0142000000923872,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/scalability","display_name":"Scalability","score":0.5333999991416931},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.42250001430511475},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.41339999437332153},{"id":"https://openalex.org/keywords/semantic-heterogeneity","display_name":"Semantic heterogeneity","score":0.37700000405311584},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.37059998512268066},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.3513000011444092},{"id":"https://openalex.org/keywords/schema","display_name":"Schema (genetic algorithms)","score":0.3212999999523163},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.3172000050544739},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.3052000105381012}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8219000101089478},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5333999991416931},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.42250001430511475},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.41339999437332153},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38839998841285706},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.38589999079704285},{"id":"https://openalex.org/C2778180026","wikidata":"https://www.wikidata.org/wiki/Q18378163","display_name":"Semantic heterogeneity","level":4,"score":0.37700000405311584},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3546000123023987},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.3172000050544739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30970001220703125},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30090001225471497},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.2994000017642975},{"id":"https://openalex.org/C33326189","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information integration","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2822999954223633},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C2779582901","wikidata":"https://www.wikidata.org/wiki/Q21013010","display_name":"Distributed learning","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C176225458","wikidata":"https://www.wikidata.org/wiki/Q595971","display_name":"Graph database","level":3,"score":0.2736000120639801},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.2522999942302704},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.25220000743865967},{"id":"https://openalex.org/C4554734","wikidata":"https://www.wikidata.org/wiki/Q593744","display_name":"Knowledge base","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cloudcom67567.2025.11331500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cloudcom67567.2025.11331500","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 lEEE International Conference on Cloud Computing Technology and Science (CloudCom)","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":13,"referenced_works":["https://openalex.org/W1552847225","https://openalex.org/W2016089260","https://openalex.org/W4375945153","https://openalex.org/W4394720620","https://openalex.org/W4403312126","https://openalex.org/W4405612204","https://openalex.org/W4408950261","https://openalex.org/W4410774333","https://openalex.org/W4411132625","https://openalex.org/W4412434823","https://openalex.org/W4412455516","https://openalex.org/W4412731163","https://openalex.org/W4412980267"],"related_works":[],"abstract_inverted_index":{"Knowledge":[0],"Graphs":[1],"(KG)":[2],"offer":[3],"a":[4,121,193],"structured":[5],"way":[6],"to":[7,74,90,185],"represent":[8],"complex":[9],"relationships":[10],"among":[11],"distributed":[12,117,212],"data":[13,36,96,140],"entities,":[14],"enabling":[15],"meaningful":[16],"connections":[17],"across":[18,81,204],"diverse":[19],"information":[20,103,213],"sources.":[21],"Constructing":[22],"and":[23,41,54,83,98,133,165,180,195,200],"evolving":[24,123,201],"such":[25,148],"graphs":[26],"in":[27],"cloud-edge":[28,206],"federated":[29,205],"environments":[30],"is":[31,72,144],"challenging":[32],"because":[33],"of":[34,62,211],"fragmented":[35],"flows,":[37],"inconsistent":[38],"schema":[39],"formats,":[40],"frequent":[42],"context":[43],"changes.":[44],"Centralized":[45],"methods":[46],"often":[47],"struggle":[48],"with":[49],"delayed":[50],"updates,":[51],"redundant":[52],"storage,":[53],"incomplete":[55],"graph":[56,112,118,129],"structures,":[57],"which":[58],"limits":[59],"the":[60],"reliability":[61],"knowledge-driven":[63],"applications.":[64],"A":[65],"hybrid":[66],"agentic":[67],"artificial":[68],"intelligence":[69],"(AI)":[70],"framework":[71,143],"proposed":[73,190],"address":[75],"these":[76],"challenges.":[77],"Autonomous":[78],"agents":[79],"operate":[80],"cloud":[82],"edge":[84],"layers,":[85],"using":[86,146],"self-supervised":[87],"contrastive":[88],"learning":[89],"align":[91],"semantic":[92,154,174],"representations":[93],"from":[94],"heterogeneous":[95],"streams":[97],"detect":[99],"conflicts":[100],"between":[101],"overlapping":[102],"segments.":[104],"Reinforcement-driven":[105],"coordination":[106],"policies":[107],"guide":[108],"task":[109],"scheduling,":[110],"while":[111,214],"neural":[113],"networks":[114],"(GNNs)":[115],"integrate":[116],"fragments":[119],"into":[120],"unified":[122],"structure.":[124],"This":[125],"combination":[126],"supports":[127],"continuous":[128],"growth,":[130],"context-aware":[131],"refinement,":[132],"adaptive":[134],"conflict":[135],"resolution":[136],"without":[137],"interrupting":[138],"local":[139],"processes.":[141],"The":[142,189],"evaluated":[145],"metrics":[147],"as":[149],"link":[150],"prediction":[151],"accuracy":[152],"(LPA),":[153],"coherence":[155],"(SC),":[156],"structural":[157],"completeness":[158],"ratio":[159],"(SCR),":[160],"update":[161],"propagation":[162],"delay":[163],"(UPD),":[164],"cross-node":[166],"communication":[167],"cost":[168],"(CCC).":[169],"Experimental":[170],"results":[171],"show":[172],"stronger":[173],"consistency,":[175],"faster":[176],"entity":[177],"relation":[178],"discovery,":[179],"reduced":[181],"network":[182],"overhead":[183],"compared":[184],"conventional":[186],"centralized":[187],"pipelines.":[188],"design":[191],"creates":[192],"resilient":[194],"scalable":[196],"foundation":[197],"for":[198],"constructing":[199],"large-scale":[202],"KG":[203],"environments,":[207],"supporting":[208],"timely":[209],"integration":[210],"reducing":[215],"computational":[216],"strain":[217],"on":[218],"central":[219],"nodes.":[220]},"counts_by_year":[],"updated_date":"2026-01-22T23:29:09.771500","created_date":"2026-01-21T00:00:00"}