{"id":"https://openalex.org/W4285242689","doi":"https://doi.org/10.1007/978-3-031-08848-3_9","title":"Process Mining over\u00a0Multiple Behavioral Dimensions with\u00a0Event Knowledge Graphs","display_name":"Process Mining over\u00a0Multiple Behavioral Dimensions with\u00a0Event Knowledge Graphs","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285242689","doi":"https://doi.org/10.1007/978-3-031-08848-3_9"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-08848-3_9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-08848-3_9","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-08848-3_9.pdf","source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-08848-3_9.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057249916","display_name":"Dirk Fahland","orcid":"https://orcid.org/0000-0002-1993-9363"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Dirk Fahland","raw_affiliation_strings":["Eindhoven University of Technology, Eindhoven, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-1993-9363","affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5057249916"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":41.5365,"has_fulltext":true,"cited_by_count":71,"citation_normalized_percentile":{"value":0.99933481,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"274","last_page":"319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10703","display_name":"Business Process Modeling and Analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.9894999861717224,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9890999794006348,"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/computer-science","display_name":"Computer science","score":0.6979289054870605},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6714703440666199},{"id":"https://openalex.org/keywords/process-mining","display_name":"Process mining","score":0.6227230429649353},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6044374704360962},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5415215492248535},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48645922541618347},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.4817335903644562},{"id":"https://openalex.org/keywords/knowledge-graph","display_name":"Knowledge graph","score":0.4672909379005432},{"id":"https://openalex.org/keywords/business-process-discovery","display_name":"Business process discovery","score":0.4190344512462616},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4148039221763611},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39544421434402466},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37010645866394043},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3363206386566162},{"id":"https://openalex.org/keywords/business-process","display_name":"Business process","score":0.26150697469711304},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.2562468647956848},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1252187192440033},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0940045714378357},{"id":"https://openalex.org/keywords/business-process-modeling","display_name":"Business process modeling","score":0.07240384817123413},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06484216451644897}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6979289054870605},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6714703440666199},{"id":"https://openalex.org/C124670913","wikidata":"https://www.wikidata.org/wiki/Q2608526","display_name":"Process mining","level":5,"score":0.6227230429649353},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6044374704360962},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5415215492248535},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48645922541618347},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.4817335903644562},{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.4672909379005432},{"id":"https://openalex.org/C93453677","wikidata":"https://www.wikidata.org/wiki/Q1017580","display_name":"Business process discovery","level":5,"score":0.4190344512462616},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4148039221763611},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39544421434402466},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37010645866394043},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3363206386566162},{"id":"https://openalex.org/C85345410","wikidata":"https://www.wikidata.org/wiki/Q851587","display_name":"Business process","level":3,"score":0.26150697469711304},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.2562468647956848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1252187192440033},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0940045714378357},{"id":"https://openalex.org/C207505557","wikidata":"https://www.wikidata.org/wiki/Q4374012","display_name":"Business process modeling","level":4,"score":0.07240384817123413},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06484216451644897},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-08848-3_9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-08848-3_9","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-08848-3_9.pdf","source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/6a9ff9f8-d9e7-47e3-8cb2-7bd43038a6ff","is_oa":true,"landing_page_url":"https://research.tue.nl/en/publications/6a9ff9f8-d9e7-47e3-8cb2-7bd43038a6ff","pdf_url":"https://pure.tue.nl/ws/files/356605746/978-3-031-08848-3_9.pdf","source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Fahland, D 2022, Process Mining over Multiple Behavioral Dimensions with Event Knowledge Graphs. in W M P van der Aalst & J Carmona (eds), Process Mining Handbook. Lecture Notes in Business Information Processing, vol. 448, Springer, pp. 274-319. https://doi.org/10.1007/978-3-031-08848-3_9","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/978-3-031-08848-3_9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-031-08848-3_9","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-031-08848-3_9.pdf","source":{"id":"https://openalex.org/S4210177767","display_name":"Lecture notes in business information processing","issn_l":"1865-1348","issn":["1865-1348","1865-1356"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Business Information Processing","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285242689.pdf","grobid_xml":"https://content.openalex.org/works/W4285242689.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1490485556","https://openalex.org/W1843425376","https://openalex.org/W2024016936","https://openalex.org/W2122094161","https://openalex.org/W2163192934","https://openalex.org/W2167298993","https://openalex.org/W2191015976","https://openalex.org/W2615052131","https://openalex.org/W2617698946","https://openalex.org/W2618658040","https://openalex.org/W2624133163","https://openalex.org/W2783321374","https://openalex.org/W2806702821","https://openalex.org/W2886688976","https://openalex.org/W2899730448","https://openalex.org/W2946063264","https://openalex.org/W2953350485","https://openalex.org/W2971437256","https://openalex.org/W2997566538","https://openalex.org/W2997682566","https://openalex.org/W3010336026","https://openalex.org/W3020919941","https://openalex.org/W3037367566","https://openalex.org/W3086604635","https://openalex.org/W3091024008","https://openalex.org/W3093557655","https://openalex.org/W3093944949","https://openalex.org/W3099780797","https://openalex.org/W3134657253","https://openalex.org/W3150665357","https://openalex.org/W3157705513","https://openalex.org/W3193426663","https://openalex.org/W3194991417","https://openalex.org/W3210004479","https://openalex.org/W4221142945","https://openalex.org/W4285131279","https://openalex.org/W4285208245","https://openalex.org/W4285252517","https://openalex.org/W4285269505","https://openalex.org/W4285303785","https://openalex.org/W4294837652","https://openalex.org/W4301500808","https://openalex.org/W4393463075","https://openalex.org/W6891561700","https://openalex.org/W6947665498","https://openalex.org/W6947919513","https://openalex.org/W6948454889","https://openalex.org/W6966708333"],"related_works":["https://openalex.org/W4365511202","https://openalex.org/W2150478723","https://openalex.org/W4300560926","https://openalex.org/W2608662023","https://openalex.org/W2158991459","https://openalex.org/W2808742510","https://openalex.org/W4248246100","https://openalex.org/W4205089782","https://openalex.org/W2772392577","https://openalex.org/W2060045119"],"abstract_inverted_index":{"Abstract":[0],"Classical":[1],"process":[2,99],"mining":[3,100],"relies":[4],"on":[5],"the":[6,30,96],"notion":[7],"of":[8,23,32,62],"a":[9,60,90],"unique":[10],"case":[11],"identifier,":[12],"which":[13],"is":[14],"used":[15],"to":[16,52,67,75,98],"partition":[17],"event":[18,36,44,72,86],"data":[19,37,48],"into":[20,78],"independent":[21],"sequences":[22],"events.":[24,63],"In":[25],"this":[26,33],"chapter,":[27],"we":[28],"study":[29],"shortcomings":[31],"approach":[34],"for":[35],"over":[38,56],"multiple":[39,57,103],"entities":[40,58],".":[41],"We":[42,64,81],"introduce":[43],"knowledge":[45,73,87],"graphs":[46,74,88],"as":[47,59],"structure":[49],"that":[50,85,94],"allows":[51],"naturally":[53],"model":[54],"behavior":[55],"network":[61],"explore":[65],"how":[66],"construct,":[68],"query,":[69],"and":[70],"aggregate":[71],"get":[76],"insights":[77],"complex":[79],"behaviors.":[80],"will":[82],"ultimately":[83],"show":[84],"are":[89],"very":[91],"versatile":[92],"tool":[93],"opens":[95],"door":[97],"analyses":[101],"in":[102],"behavioral":[104],"dimensions":[105],"at":[106],"once.":[107]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-27T09:02:27.158192","created_date":"2025-10-10T00:00:00"}
