{"id":"https://openalex.org/W7154487900","doi":"https://doi.org/10.48550/arxiv.2604.12105","title":"Automated BPMN Model Generation from Textual Process Descriptions: A Multi-Stage LLM-Driven Approach","display_name":"Automated BPMN Model Generation from Textual Process Descriptions: A Multi-Stage LLM-Driven Approach","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7154487900","doi":"https://doi.org/10.48550/arxiv.2604.12105"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.12105","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.12105","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.12105","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031818939","display_name":"Ion Matei","orcid":"https://orcid.org/0000-0001-5555-8130"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Matei, Ion","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008380283","display_name":"Maksym Zhenirovskyy","orcid":"https://orcid.org/0000-0002-5478-0669"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenirovskyy, Maksym","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085837346","display_name":"Praveen Kumar Menaka Sekar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sekar, Praveen Kumar Menaka","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133593808","display_name":"Hon Yung Wong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wong, Hon Yung","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031818939"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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":0.2897999882698059,"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":0.2897999882698059,"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/T10028","display_name":"Topic Modeling","score":0.16920000314712524,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.09040000289678574,"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/executable","display_name":"Executable","score":0.6908000111579895},{"id":"https://openalex.org/keywords/business-process-model-and-notation","display_name":"Business Process Model and Notation","score":0.6739000082015991},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6044999957084656},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5027999877929688},{"id":"https://openalex.org/keywords/xml","display_name":"XML","score":0.49729999899864197},{"id":"https://openalex.org/keywords/process-modeling","display_name":"Process modeling","score":0.43160000443458557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893999814987183},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.6908000111579895},{"id":"https://openalex.org/C179299601","wikidata":"https://www.wikidata.org/wiki/Q1017605","display_name":"Business Process Model and Notation","level":5,"score":0.6739000082015991},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6044999957084656},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5027999877929688},{"id":"https://openalex.org/C8797682","wikidata":"https://www.wikidata.org/wiki/Q2115","display_name":"XML","level":2,"score":0.49729999899864197},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.43160000443458557},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3707999885082245},{"id":"https://openalex.org/C145644426","wikidata":"https://www.wikidata.org/wiki/Q169411","display_name":"Unified Modeling Language","level":3,"score":0.3702000081539154},{"id":"https://openalex.org/C130536060","wikidata":"https://www.wikidata.org/wiki/Q592375","display_name":"XPDL","level":4,"score":0.3693999946117401},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.36500000953674316},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.364300012588501},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.3296999931335449},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3102000057697296},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3086000084877014},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2987000048160553},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.28870001435279846},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.26510000228881836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.12105","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.12105","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.12105","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.12105","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Automatically":[0],"reconstructing":[1],"BPMN":[2,40,108,147],"models":[3,116],"from":[4],"unstructured":[5],"natural-language":[6],"descriptions":[7,72],"remains":[8],"challenging":[9],"due":[10],"to":[11,61,77],"heterogeneous":[12],"modeling":[13],"conventions,":[14],"multilingual":[15],"sources,":[16],"and":[17,36,54,75,97,117,144],"the":[18,110],"lack":[19],"of":[20,105],"reliable":[21],"ground":[22],"truth.":[23],"We":[24,86],"present":[25],"a":[26,63,88],"scalable,":[27],"multi-stage":[28],"LLM-driven":[29],"pipeline":[30,111],"that":[31,138],"automates":[32],"both":[33],"ground-truth":[34,65,115],"construction":[35],"model":[37],"reconstruction.":[38],"Multilingual":[39],"XML":[41,81],"files":[42],"are":[43,73],"translated":[44],"into":[45],"English,":[46],"validated":[47,69,114],"using":[48],"execution-oriented":[49],"compliance":[50],"checks":[51],"in":[52,131],"SpiffWorkflow,":[53],"iteratively":[55],"repaired":[56],"through":[57],"targeted":[58],"LLM-guided":[59],"corrections":[60],"produce":[62],"consistent":[64],"corpus.":[66],"From":[67],"these":[68],"models,":[70],"process":[71],"generated":[74,112],"used":[76],"reconstruct":[78],"executable":[79],"BPMN~2.0":[80],"diagrams":[82,148],"without":[83],"manual":[84],"curation.":[85],"introduce":[87],"multi-dimensional":[89],"similarity":[90,121],"framework":[91],"combining":[92],"structural":[93],"metrics,":[94],"type-distribution":[95],"alignment,":[96],"embedding-based":[98],"semantic":[99],"measures.":[100],"In":[101],"an":[102],"empirical":[103],"study":[104],"750":[106],"public":[107],"diagrams,":[109],"387":[113],"achieved":[118],"average":[119],"reconstruction":[120],"above":[122],"0.75,":[123],"including":[124],"approximately":[125],"50":[126],"near-perfect":[127],"reconstructions":[128],"differing":[129],"only":[130],"minor":[132],"naming":[133],"variations.":[134],"The":[135],"results":[136],"demonstrate":[137],"LLMs":[139],"can":[140],"generate":[141],"structurally":[142],"compliant":[143],"semantically":[145],"meaningful":[146],"at":[149],"scale.":[150]},"counts_by_year":[],"updated_date":"2026-04-16T06:09:31.884825","created_date":"2026-04-16T00:00:00"}
