{"id":"https://openalex.org/W7214923947","doi":"https://doi.org/10.21203/rs.3.rs-10884433/v1","title":"Model-Semantics-Aware Predictive Process Monitoring","display_name":"Model-Semantics-Aware Predictive Process Monitoring","publication_year":2026,"publication_date":"2026-09-30","ids":{"openalex":"https://openalex.org/W7214923947","doi":"https://doi.org/10.21203/rs.3.rs-10884433/v1"},"language":"en","primary_location":{"id":"doi:10.21203/rs.3.rs-10884433/v1","doi":"https://doi.org/10.21203/rs.3.rs-10884433/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-10884433/v1","pdf_url":"https://www.researchsquare.com/article/rs-10884433/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.researchsquare.com/article/rs-10884433/latest.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082375893","display_name":"Dinh-Lam Pham","orcid":"https://orcid.org/0000-0001-7706-1088","observed_orcids":["https://orcid.org/0000-0001-7706-1088"]},"institutions":[{"id":"https://openalex.org/I28615091","display_name":"Kyonggi University","ror":"https://ror.org/032xf8h46","country_code":"KR","type":"education","lineage":["https://openalex.org/I28615091"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dinh-Lam Pham","raw_affiliation_strings":["Kyonggi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyonggi University","institution_ids":["https://openalex.org/I28615091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5153603021","display_name":"Jinyeong Lee","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinyeong Lee","raw_affiliation_strings":["Hanyang University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116212818","display_name":"Tsagaantsooj Batzaya Tsagaantsooj Batzaya","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I28615091","display_name":"Kyonggi University","ror":"https://ror.org/032xf8h46","country_code":"KR","type":"education","lineage":["https://openalex.org/I28615091"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tsagaantsooj Batzaya","raw_affiliation_strings":["Kyonggi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyonggi University","institution_ids":["https://openalex.org/I28615091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078519635","display_name":"\uc548\ud604","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I36738375","display_name":"Hanshin University","ror":"https://ror.org/039fgyk85","country_code":"KR","type":"education","lineage":["https://openalex.org/I36738375"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyun Ahn","raw_affiliation_strings":["Hanshin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanshin University","institution_ids":["https://openalex.org/I36738375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101764872","display_name":"Minjae Park","orcid":"https://orcid.org/0000-0002-6664-4656","observed_orcids":["https://orcid.org/0000-0002-6664-4656"]},"institutions":[{"id":"https://openalex.org/I4792177","display_name":"Daelim University College","ror":"https://ror.org/00hn0mq04","country_code":"KR","type":"education","lineage":["https://openalex.org/I4792177"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Minjae Park","raw_affiliation_strings":["Daelim University College"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Daelim University College","institution_ids":["https://openalex.org/I4792177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115784705","display_name":"Ilkyeun Ra","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I921990950","display_name":"University of Colorado Denver","ror":"https://ror.org/02hh7en24","country_code":"US","type":"education","lineage":["https://openalex.org/I921990950"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ilkyeun Ra","raw_affiliation_strings":["University of Colorado Denver"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Colorado Denver","institution_ids":["https://openalex.org/I921990950"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5153573047","display_name":"Kwanghoon Kim","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I28615091","display_name":"Kyonggi University","ror":"https://ror.org/032xf8h46","country_code":"KR","type":"education","lineage":["https://openalex.org/I28615091"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kwanghoon Kim","raw_affiliation_strings":["Kyonggi University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyonggi University","institution_ids":["https://openalex.org/I28615091"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13287","display_name":"Robotic Process Automation Applications","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10743","display_name":"Software Testing and Debugging Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/predictive-process-monitoring","display_name":"predictive process monitoring","score":0.9309999942779541},{"id":"https://openalex.org/keywords/process-semantics","display_name":"process semantics","score":0.9340000152587891},{"id":"https://openalex.org/keywords/process-model","display_name":"process model","score":0.6769999861717224},{"id":"https://openalex.org/keywords/event-logs","display_name":"event logs","score":0.7129999995231628},{"id":"https://openalex.org/keywords/semantic-gap","display_name":"semantic gap","score":0.5299999713897705},{"id":"https://openalex.org/keywords/process-traces","display_name":"process traces","score":0.4740000069141388},{"id":"https://openalex.org/keywords/next-activity-prediction","display_name":"next activity prediction","score":0.7910000085830688},{"id":"https://openalex.org/keywords/process-discovery","display_name":"process discovery","score":0.6269999742507935},{"id":"https://openalex.org/keywords/lstm","display_name":"LSTM","score":0.42100000381469727},{"id":"https://openalex.org/keywords/transformer","display_name":"transformer models","score":0.9750000238418579}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7461000084877014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5875999927520752},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5625},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5248000025749207},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48539999127388},{"id":"https://openalex.org/C156325763","wikidata":"https://www.wikidata.org/wiki/Q1930895","display_name":"Operational semantics","level":3,"score":0.46779999136924744},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4650000035762787},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.4578999876976013},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.44780001044273376},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.4025999903678894},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.35420000553131104},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.3264000117778778},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.2849999964237213},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.28290000557899475},{"id":"https://openalex.org/C197914299","wikidata":"https://www.wikidata.org/wiki/Q18650","display_name":"Semantic memory","level":3,"score":0.2696000039577484},{"id":"https://openalex.org/C2780654840","wikidata":"https://www.wikidata.org/wiki/Q333341","display_name":"Abstract interpretation","level":2,"score":0.2635999917984009},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2581999897956848},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.257099986076355}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21203/rs.3.rs-10884433/v1","doi":"https://doi.org/10.21203/rs.3.rs-10884433/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-10884433/v1","pdf_url":"https://www.researchsquare.com/article/rs-10884433/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.21203/rs.3.rs-10884433/v1","doi":"https://doi.org/10.21203/rs.3.rs-10884433/v1","is_oa":true,"landing_page_url":"https://doi.org/10.21203/rs.3.rs-10884433/v1","pdf_url":"https://www.researchsquare.com/article/rs-10884433/latest.pdf","source":{"id":"https://openalex.org/S4306525896","display_name":"Research Square","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Research Square","raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7214923947.pdf","grobid_xml":"https://content.openalex.org/works/W7214923947.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2116341502","https://openalex.org/W2767387808","https://openalex.org/W2963341956","https://openalex.org/W3089306244","https://openalex.org/W3140537353","https://openalex.org/W3194236142","https://openalex.org/W4385791056","https://openalex.org/W4388430626","https://openalex.org/W4404469370","https://openalex.org/W4408120183","https://openalex.org/W4409361510","https://openalex.org/W4410968179","https://openalex.org/W7163886623"],"related_works":["https://openalex.org/W4408985702","https://openalex.org/W7124752641","https://openalex.org/W4405430592","https://openalex.org/W4319877701","https://openalex.org/W4408742832","https://openalex.org/W7161536318","https://openalex.org/W7172022341","https://openalex.org/W4393210331","https://openalex.org/W4413655050","https://openalex.org/W4402836016"],"abstract_inverted_index":{"Abstract":[0],"Predictive":[1,61],"Process":[2,62],"Monitoring":[3,63],"(PPM)":[4],"increasingly":[5],"employs":[6],"deep":[7],"learning":[8,24],"to":[9,50,113,155],"predict":[10],"future":[11],"process":[12,41,72,107,142,213],"behavior":[13],"from":[14,25,120],"historical":[15],"event":[16,101],"logs.":[17],"However,":[18],"existing":[19],"approaches":[20],"remain":[21],"largely":[22],"\\emph{log-centric},":[23],"system-enacted":[26],"traces":[27,102,174],"that":[28,68,209],"represent":[29],"individual":[30],"executions":[31],"rather":[32],"than":[33],"the":[34,39,98,130,147],"behavioral":[35],"semantics":[36,73,152,214],"defined":[37],"by":[38,97,163],"underlying":[40],"model.":[42],"This":[43],"semantic":[44,110,118,223],"gap":[45],"may":[46],"cause":[47],"predictive":[48,75,114,121,217],"models":[49,122],"learn":[51],"execution-specific":[52],"artifacts":[53],"instead":[54],"of":[55,133,191],"process-relevant":[56],"dependencies.This":[57],"paper":[58],"proposes":[59],"\\emph{Model-Semantics-Aware":[60],"(MSA-PPM)},":[64],"a":[65,79],"new":[66],"paradigm":[67],"explicitly":[69,210],"integrates":[70],"model-defined":[71,212],"into":[74,105],"learning.":[76],"MSA-PPM":[77],"introduces":[78],"\\emph{Process":[80],"Semantics":[81],"Dictionary":[82],"(PSD)}":[83],"for":[84,177,225],"representing":[85],"parallel,":[86],"exclusive-choice,":[87],"loop,":[88],"synchronization,":[89],"temporal,":[90],"resource,":[91],"organizational,":[92],"and":[93,123,149,157,182,193,204],"constraint":[94],"semantics.":[95],"Guided":[96],"PSD,":[99],"conventional":[100],"are":[103,153,175],"transformed":[104],"\\emph{model-semantics-aware":[106],"traces}":[108],"through":[109],"preprocessing":[111],"prior":[112],"learning,":[115],"thereby":[116],"separating":[117],"interpretation":[119],"architectures.As":[124],"an":[125,221],"operational":[126],"validation,":[127],"we":[128],"implement":[129],"parallel-semantics":[131],"module":[132],"MSA-PPM.":[134],"An":[135],"exact":[136],"Structured":[137],"Information":[138],"Control":[139],"Net":[140],"(SICN)-oriented":[141],"model":[143],"is":[144],"discovered":[145],"using":[146,180],"$\\rho$-Algorithm,":[148],"its":[150],"parallel":[151,168],"used":[154],"identify":[156],"eliminate":[158],"directed":[159],"phantom":[160],"edges":[161],"caused":[162],"arbitrary":[164],"execution":[165],"orders":[166],"among":[167],"sibling":[169],"activities.":[170],"The":[171],"semantically":[172],"revised":[173],"evaluated":[176],"next-activity":[178],"prediction":[179],"LSTM":[181],"Transformer":[183],"models.":[184],"Experimental":[185],"results":[186,207],"show":[187],"absolute":[188],"accuracy":[189],"improvements":[190,200],"5.63":[192],"4.90":[194],"percentage":[195],"points,":[196],"respectively,":[197],"together":[198],"with":[199],"in":[201],"Precision,":[202],"Recall,":[203],"F1-score.":[205],"These":[206],"demonstrate":[208],"incorporating":[211],"can":[215],"improve":[216],"performance":[218],"while":[219],"providing":[220],"architecture-independent":[222],"foundation":[224],"PPM.":[226]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2026-10-01T00:00:00"}