{"id":"https://openalex.org/W4402044390","doi":"https://doi.org/10.1145/3625549.3658830","title":"Semantic-Aware Log Understanding and Analysis","display_name":"Semantic-Aware Log Understanding and Analysis","publication_year":2024,"publication_date":"2024-06-03","ids":{"openalex":"https://openalex.org/W4402044390","doi":"https://doi.org/10.1145/3625549.3658830"},"language":"en","primary_location":{"id":"doi:10.1145/3625549.3658830","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625549.3658830","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625549.3658830?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3625549.3658830?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061624006","display_name":"Shaohan Huang","orcid":"https://orcid.org/0000-0003-4324-6337"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohan Huang","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4324-6337","affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074183877","display_name":"Zhongzhi Luan","orcid":"https://orcid.org/0000-0002-7186-0556"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongzhi Luan","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7186-0556","affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"413","last_page":"416"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.963100016117096,"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"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9605000019073486,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7050210237503052},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.32362890243530273}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7050210237503052},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.32362890243530273}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3625549.3658830","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625549.3658830","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625549.3658830?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3625549.3658830","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3625549.3658830","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3625549.3658830?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5899999737739563,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G6322973505","display_name":null,"funder_award_id":"61732002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402044390.pdf","grobid_xml":"https://content.openalex.org/works/W4402044390.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1986641982","https://openalex.org/W2039157918","https://openalex.org/W2401686019","https://openalex.org/W2585367509","https://openalex.org/W2754665629","https://openalex.org/W2947815220","https://openalex.org/W2963999143","https://openalex.org/W2965838158","https://openalex.org/W2998129307","https://openalex.org/W3095840026","https://openalex.org/W3138627592","https://openalex.org/W3183619936","https://openalex.org/W3199174176","https://openalex.org/W3217609928","https://openalex.org/W4315746341"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"The":[0],"exponential":[1],"growth":[2],"in":[3,10,41,125,134,147,159,176],"system":[4,21,129,161,193],"complexity":[5],"and":[6,23,29,48,76,105,108,116,127,163,189,195],"the":[7,36,56,65,135,154],"corresponding":[8],"surge":[9],"log":[11,16,27,42,66,82,92,114,117,138,148,177],"data":[12,83,149],"volume":[13],"necessitate":[14],"advanced":[15],"analysis":[17,30,67,150,178],"techniques":[18],"for":[19,156],"efficient":[20],"management":[22],"anomaly":[24,97],"detection.":[25],"Traditional":[26],"understanding":[28,90,191],"methods":[31],"often":[32],"fail":[33],"to":[34,45,54,80],"capture":[35],"rich":[37],"semantic":[38,57,62,85],"context":[39],"inherent":[40],"messages,":[43],"leading":[44],"suboptimal":[46],"monitoring":[47,162],"diagnostic":[49],"capabilities.":[50],"This":[51,140],"paper":[52],"aims":[53],"bridge":[55],"gap":[58],"by":[59,100,113],"integrating":[60],"cutting-edge":[61],"technologies":[63],"into":[64],"pipeline.":[68],"We":[69],"leverage":[70],"natural":[71],"language":[72,78],"processing,":[73],"information":[74,104],"retrieval,":[75],"large":[77],"models":[79],"enrich":[81],"with":[84],"information,":[86],"facilitating":[87],"a":[88,122,145,173,186],"deeper":[89],"of":[91,192],"messages.":[93],"Our":[94],"methodology":[95],"enhances":[96],"detection":[98],"accuracy":[99],"utilizing":[101],"hierarchical":[102],"contextual":[103],"pre-training":[106],"technology,":[107],"refining":[109],"log-based":[110],"QA":[111],"processes":[112],"retrieval":[115],"reader.":[118],"Preliminary":[119],"results":[120],"demonstrate":[121],"significant":[123],"improvement":[124],"identifying":[126],"diagnosing":[128],"anomalies,":[130],"as":[131,133],"well":[132],"automated":[136],"answering":[137],"questions.":[139],"research":[141],"not":[142],"only":[143],"presents":[144],"breakthrough":[146],"but":[151],"also":[152],"sets":[153],"stage":[155],"future":[157],"advancements":[158],"intelligent":[160],"proactive":[164],"fault":[165],"resolution.":[166],"Through":[167],"this":[168],"semantic-aware":[169],"approach,":[170],"we":[171],"envision":[172],"new":[174],"paradigm":[175],"that":[179],"transcends":[180],"traditional":[181],"machine":[182],"learning":[183],"methods,":[184],"offering":[185],"more":[187],"robust":[188],"intuitive":[190],"behaviors":[194],"states.":[196]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}