{"id":"https://openalex.org/W7134137971","doi":"https://doi.org/10.1016/j.is.2026.102713","title":"Process mining between the lines: Extracting object-centric event logs from textual data","display_name":"Process mining between the lines: Extracting object-centric event logs from textual data","publication_year":2026,"publication_date":"2026-03-06","ids":{"openalex":"https://openalex.org/W7134137971","doi":"https://doi.org/10.1016/j.is.2026.102713"},"language":"en","primary_location":{"id":"doi:10.1016/j.is.2026.102713","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.is.2026.102713","pdf_url":null,"source":{"id":"https://openalex.org/S193006928","display_name":"Information Systems","issn_l":"0306-4379","issn":["0306-4379","1873-6076"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.is.2026.102713","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116329866","display_name":"Alina Buss","orcid":null},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alina Buss","raw_affiliation_strings":["TUM School of Management, Technical University of Munich, Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany"],"affiliations":[{"raw_affiliation_string":"TUM School of Management, Technical University of Munich, Arcisstra\u00dfe 21, 80333 M\u00fcnchen, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022648146","display_name":"Christoph Kecht","orcid":"https://orcid.org/0000-0002-1550-9841"},"institutions":[{"id":"https://openalex.org/I4210110507","display_name":"Fraunhofer Institute for Applied Information Technology","ror":"https://ror.org/01ak24c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210110507","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I54009628","display_name":"University of Bayreuth","ror":"https://ror.org/0234wmv40","country_code":"DE","type":"education","lineage":["https://openalex.org/I54009628"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Christoph Kecht","raw_affiliation_strings":["Branch Business & Information Systems Engineering of the Fraunhofer FIT, Alter Postweg 101, 86159 Augsburg, Germany","FIM Research Center for Information Management, Alter Postweg 101, 86159 Augsburg, Germany","University of Bayreuth, Wittelsbacherring 10, 95444 Bayreuth, Germany"],"affiliations":[{"raw_affiliation_string":"Branch Business & Information Systems Engineering of the Fraunhofer FIT, Alter Postweg 101, 86159 Augsburg, Germany","institution_ids":["https://openalex.org/I4210110507"]},{"raw_affiliation_string":"FIM Research Center for Information Management, Alter Postweg 101, 86159 Augsburg, Germany","institution_ids":[]},{"raw_affiliation_string":"University of Bayreuth, Wittelsbacherring 10, 95444 Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014929985","display_name":"Wolfgang Kratsch","orcid":"https://orcid.org/0000-0001-9815-0653"},"institutions":[{"id":"https://openalex.org/I142270456","display_name":"Technische Hochschule Augsburg","ror":"https://ror.org/016604a03","country_code":"DE","type":"education","lineage":["https://openalex.org/I142270456"]},{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]},{"id":"https://openalex.org/I4210110507","display_name":"Fraunhofer Institute for Applied Information Technology","ror":"https://ror.org/01ak24c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210110507","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Wolfgang Kratsch","raw_affiliation_strings":["Branch Business & Information Systems Engineering of the Fraunhofer FIT, Alter Postweg 101, 86159 Augsburg, Germany","FIM Research Center for Information Management, Alter Postweg 101, 86159 Augsburg, Germany","Technical University of Applied Sciences Augsburg, Alter Postweg 101, 86159 Augsburg, Germany"],"affiliations":[{"raw_affiliation_string":"Branch Business & Information Systems Engineering of the Fraunhofer FIT, Alter Postweg 101, 86159 Augsburg, Germany","institution_ids":["https://openalex.org/I4210110507"]},{"raw_affiliation_string":"FIM Research Center for Information Management, Alter Postweg 101, 86159 Augsburg, Germany","institution_ids":[]},{"raw_affiliation_string":"Technical University of Applied Sciences Augsburg, Alter Postweg 101, 86159 Augsburg, Germany","institution_ids":["https://openalex.org/I179225836","https://openalex.org/I142270456"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097523651","display_name":"Prof. Dr. Maximilian R\u00f6glinger","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110507","display_name":"Fraunhofer Institute for Applied Information Technology","ror":"https://ror.org/01ak24c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210110507","https://openalex.org/I4923324"]},{"id":"https://openalex.org/I54009628","display_name":"University of Bayreuth","ror":"https://ror.org/0234wmv40","country_code":"DE","type":"education","lineage":["https://openalex.org/I54009628"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maximilian R\u00f6glinger","raw_affiliation_strings":["Branch Business & Information Systems Engineering of the Fraunhofer FIT, Alter Postweg 101, 86159 Augsburg, Germany","FIM Research Center for Information Management, Alter Postweg 101, 86159 Augsburg, Germany","University of Bayreuth, Wittelsbacherring 10, 95444 Bayreuth, Germany"],"affiliations":[{"raw_affiliation_string":"Branch Business & Information Systems Engineering of the Fraunhofer FIT, Alter Postweg 101, 86159 Augsburg, Germany","institution_ids":["https://openalex.org/I4210110507"]},{"raw_affiliation_string":"FIM Research Center for Information Management, Alter Postweg 101, 86159 Augsburg, Germany","institution_ids":[]},{"raw_affiliation_string":"University of Bayreuth, Wittelsbacherring 10, 95444 Bayreuth, Germany","institution_ids":["https://openalex.org/I54009628"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039170696","display_name":"Sareh Sadeghianasl","orcid":"https://orcid.org/0000-0002-0338-958X"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Sareh Sadeghianasl","raw_affiliation_strings":["Queensland University of Technology, 2 George St, Brisbane City QLD 4000, Australia"],"affiliations":[{"raw_affiliation_string":"Queensland University of Technology, 2 George St, Brisbane City QLD 4000, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"last","author":{"id":null,"display_name":"Moe T. Wynn","orcid":"https://orcid.org/0000-0002-7205-8821"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Moe T. Wynn","raw_affiliation_strings":["Queensland University of Technology, 2 George St, Brisbane City QLD 4000, Australia"],"affiliations":[{"raw_affiliation_string":"Queensland University of Technology, 2 George St, Brisbane City QLD 4000, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5022648146"],"corresponding_institution_ids":["https://openalex.org/I4210110507","https://openalex.org/I54009628"],"apc_list":{"value":2970,"currency":"USD","value_usd":2970},"apc_paid":{"value":2970,"currency":"USD","value_usd":2970},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.60679459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"140","issue":null,"first_page":"102713","last_page":"102713"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9905999898910522,"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":0.9905999898910522,"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/T12127","display_name":"Software System Performance and Reliability","score":0.0006000000284984708,"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/T13643","display_name":"Artificial Intelligence in Law","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7213000059127808},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.718500018119812},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6765999794006348},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.636900007724762},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6225000023841858},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5985999703407288},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5184000134468079},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.46059998869895935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.840499997138977},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7213000059127808},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.718500018119812},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6765999794006348},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.636900007724762},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6225000023841858},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5985999703407288},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5493000149726868},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5285999774932861},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5184000134468079},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.46059998869895935},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4562999904155731},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.414000004529953},{"id":"https://openalex.org/C26713055","wikidata":"https://www.wikidata.org/wiki/Q245962","display_name":"Implementation","level":2,"score":0.41260001063346863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4059000015258789},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.40130001306533813},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.39590001106262207},{"id":"https://openalex.org/C123606473","wikidata":"https://www.wikidata.org/wiki/Q907918","display_name":"Complex event processing","level":3,"score":0.3853999972343445},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3122999966144562},{"id":"https://openalex.org/C93453677","wikidata":"https://www.wikidata.org/wiki/Q1017580","display_name":"Business process discovery","level":5,"score":0.3019999861717224},{"id":"https://openalex.org/C76956256","wikidata":"https://www.wikidata.org/wiki/Q27610560","display_name":"Process modeling","level":3,"score":0.28769999742507935},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.2660999894142151},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.2549000084400177}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.is.2026.102713","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.is.2026.102713","pdf_url":null,"source":{"id":"https://openalex.org/S193006928","display_name":"Information Systems","issn_l":"0306-4379","issn":["0306-4379","1873-6076"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.is.2026.102713","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.is.2026.102713","pdf_url":null,"source":{"id":"https://openalex.org/S193006928","display_name":"Information Systems","issn_l":"0306-4379","issn":["0306-4379","1873-6076"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Information Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1991851510","https://openalex.org/W2007054768","https://openalex.org/W2020278455","https://openalex.org/W2120770606","https://openalex.org/W2136922540","https://openalex.org/W2138373060","https://openalex.org/W2159904898","https://openalex.org/W2487200295","https://openalex.org/W2537675719","https://openalex.org/W2560678344","https://openalex.org/W2588217228","https://openalex.org/W2747680751","https://openalex.org/W2783089003","https://openalex.org/W2808003960","https://openalex.org/W2884879809","https://openalex.org/W2893644299","https://openalex.org/W2906106713","https://openalex.org/W2963288440","https://openalex.org/W2970686438","https://openalex.org/W2972792208","https://openalex.org/W3012780693","https://openalex.org/W3034800807","https://openalex.org/W3094431144","https://openalex.org/W3096367574","https://openalex.org/W3107544970","https://openalex.org/W3155464240","https://openalex.org/W4206664846","https://openalex.org/W4316039548","https://openalex.org/W4316658272","https://openalex.org/W4367720973","https://openalex.org/W4376279815","https://openalex.org/W4380686481","https://openalex.org/W4382813364","https://openalex.org/W4385605699","https://openalex.org/W4395689476","https://openalex.org/W4406800520","https://openalex.org/W4408955918"],"related_works":[],"abstract_inverted_index":{"Organizations":[0],"generate":[1],"vast":[2],"amounts":[3],"of":[4,12,40,56,143,152,236],"unstructured":[5,49,99],"textual":[6,22,100,237,253,284],"data":[7,76],"\u2013":[8,59],"a":[9,37,107,120,170,192,202,228,297],"valuable":[10],"source":[11],"information":[13,60,238],"that":[14,61,109,122,198],"frequently":[15],"remains":[16],"underutilized":[17],"for":[18],"process":[19,46,240],"mining.":[20],"However,":[21],"descriptions":[23],"often":[24],"record":[25],"exceptions":[26],"and":[27,34,112,117,119,124,135,138,145,157,167,178,191,218,221,272,282,296],"manual":[28],"activities":[29],"absent":[30],"from":[31,42,98,252],"structured":[32,75],"data,":[33],"therefore,":[35],"enable":[36],"better":[38],"understanding":[39],"deviations":[41],"the":[43,53,126,150,180,199,206,212,234,257,260,267,278,288],"expected":[44],"business":[45],"behavior.":[47],"Importantly,":[48],"sources":[50,77],"typically":[51],"retain":[52],"object-centric":[54,94,249],"characteristics":[55],"real-world":[57],"processes":[58],"gets":[62],"flattened":[63],"or":[64,78],"lost":[65],"in":[66,133,169],"case-centric":[67,80],"event":[68,81,95,220,250],"logs.":[69,82],"Yet,":[70],"existing":[71],"approaches":[72],"primarily":[73],"target":[74],"produce":[79],"To":[83],"address":[84],"this":[85,225],"gap,":[86],"we":[87],"present":[88],"an":[89,245],"automated":[90],"approach":[91,103,246,258,268,279],"to":[92,148,247],"derive":[93],"logs":[96,251],"directly":[97],"descriptions.":[101,254,285],"The":[102],"comprises":[104],"two":[105,184],"subcomponents:":[106],"collector":[108,144,204],"identifies":[110],"events":[111],"objects":[113],"(including":[114],"their":[115],"attributes":[116],"relationships),":[118],"refiner":[121,146],"consolidates":[123],"cleans":[125],"extracted":[127],"information.":[128],"We":[129,162],"instantiate":[130],"each":[131],"subcomponent":[132],"heuristic":[134,153,270],"generative":[136,158,203,214,273],"implementations":[137],"create":[139],"four":[140],"pairwise":[141],"combinations":[142],"instances":[147],"assess":[149],"effectiveness":[151],"natural":[154],"language":[155],"processing":[156],"artificial":[159,172],"intelligence":[160],"techniques.":[161,275],"compare":[163],"these":[164],"variants":[165],"quantitatively":[166],"qualitatively":[168],"controlled,":[171],"setting":[173],"based":[174],"on":[175,183,280,292],"synthesized":[176],"texts":[177],"demonstrate":[179],"practical":[181,290],"utility":[182,291],"naturally":[185],"occurring":[186],"corpora":[187],"(fire":[188],"status":[189,294],"updates":[190,295],"legal":[193,298],"judgment).":[194],"Our":[195],"results":[196],"show":[197],"configurations":[200],"with":[201],"achieve":[205],"highest":[207],"extraction":[208],"quality.":[209],"In":[210],"particular,":[211],"fully":[213],"variant":[215],"produces":[216],"coherent":[217],"standardized":[219],"object":[222],"labels.":[223],"Overall,":[224],"study":[226],"fills":[227],"notable":[229],"research":[230],"gap":[231],"by":[232],"enabling":[233],"incorporation":[235],"into":[239],"mining":[241],"applications.":[242],"\u2022":[243,255,265,276,286],"Proposes":[244],"extract":[248],"Develops":[256],"using":[259,269],"Design":[261],"Science":[262],"Research":[263],"methodology.":[264],"Implements":[266],"NLP":[271],"AI":[274],"Evaluates":[277],"synthetic":[281],"naturalistic":[283],"Confirms":[287],"approach\u2019s":[289],"fire":[293],"judgment.":[299]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-03-08T00:00:00"}
