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Associating Event Logs with Ontologies for Semantic Process Mining and Analysis

Tutkimustuotosvertaisarvioitu

Standard

Associating Event Logs with Ontologies for Semantic Process Mining and Analysis. / Nykänen, Ossi; Rivero-Rodriguez, Alejandro; Pileggi, Paolo; Ranta, Pekka A.; Kailanto, Meri; Koro, Juho.

Proceedings of the 19th International Academic Mindtrek Conference: AcademicMindTrek '15. New York, NY, USA : ACM, 2015. s. 138-143.

Tutkimustuotosvertaisarvioitu

Harvard

Nykänen, O, Rivero-Rodriguez, A, Pileggi, P, Ranta, PA, Kailanto, M & Koro, J 2015, Associating Event Logs with Ontologies for Semantic Process Mining and Analysis. julkaisussa Proceedings of the 19th International Academic Mindtrek Conference: AcademicMindTrek '15. ACM, New York, NY, USA, Sivut 138-143, MINDTREK CONFERENCE, 1/01/00. https://doi.org/10.1145/2818187.2818273

APA

Nykänen, O., Rivero-Rodriguez, A., Pileggi, P., Ranta, P. A., Kailanto, M., & Koro, J. (2015). Associating Event Logs with Ontologies for Semantic Process Mining and Analysis. teoksessa Proceedings of the 19th International Academic Mindtrek Conference: AcademicMindTrek '15 (Sivut 138-143). New York, NY, USA: ACM. https://doi.org/10.1145/2818187.2818273

Vancouver

Nykänen O, Rivero-Rodriguez A, Pileggi P, Ranta PA, Kailanto M, Koro J. Associating Event Logs with Ontologies for Semantic Process Mining and Analysis. julkaisussa Proceedings of the 19th International Academic Mindtrek Conference: AcademicMindTrek '15. New York, NY, USA: ACM. 2015. s. 138-143 https://doi.org/10.1145/2818187.2818273

Author

Nykänen, Ossi ; Rivero-Rodriguez, Alejandro ; Pileggi, Paolo ; Ranta, Pekka A. ; Kailanto, Meri ; Koro, Juho. / Associating Event Logs with Ontologies for Semantic Process Mining and Analysis. Proceedings of the 19th International Academic Mindtrek Conference: AcademicMindTrek '15. New York, NY, USA : ACM, 2015. Sivut 138-143

Bibtex - Lataa

@inproceedings{7d6f3ba9f3874c2bba36b4384470ac86,
title = "Associating Event Logs with Ontologies for Semantic Process Mining and Analysis",
abstract = "Process mining uses various forms of event logs to extract process-related information, in order to discover, analyze conformance, or to enhance (business) processes. The vast majority of process mining applications are based on event logs with flat, keyword-based activity and resource descriptions. Many human-designed processes, however, are based on explicit workflow or lifecycle models with associated product models, both of which can be described using taxonomies or more complicated ontologies. This additional information can be used to analyze and visualize the processes with better insight of and improved formal access to the data. In this paper, we introduce a generic approach for enriching process mining using events logs with associated ontology structures. The main contribution and benefit of this approach lies in the ability to analyze the models in different abstraction levels, which greatly helps understanding complicated processes. Our main application areas are related to engineering and documentation processes.",
keywords = "event logs, maintenance analysis, ontologies, process mining",
author = "Ossi Nyk{\"a}nen and Alejandro Rivero-Rodriguez and Paolo Pileggi and Ranta, {Pekka A.} and Meri Kailanto and Juho Koro",
note = "AUX=orc,{"}Koro, Juho{"}",
year = "2015",
doi = "10.1145/2818187.2818273",
language = "English",
isbn = "978-1-4503-3948-3",
pages = "138--143",
booktitle = "Proceedings of the 19th International Academic Mindtrek Conference",
publisher = "ACM",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Associating Event Logs with Ontologies for Semantic Process Mining and Analysis

AU - Nykänen, Ossi

AU - Rivero-Rodriguez, Alejandro

AU - Pileggi, Paolo

AU - Ranta, Pekka A.

AU - Kailanto, Meri

AU - Koro, Juho

N1 - AUX=orc,"Koro, Juho"

PY - 2015

Y1 - 2015

N2 - Process mining uses various forms of event logs to extract process-related information, in order to discover, analyze conformance, or to enhance (business) processes. The vast majority of process mining applications are based on event logs with flat, keyword-based activity and resource descriptions. Many human-designed processes, however, are based on explicit workflow or lifecycle models with associated product models, both of which can be described using taxonomies or more complicated ontologies. This additional information can be used to analyze and visualize the processes with better insight of and improved formal access to the data. In this paper, we introduce a generic approach for enriching process mining using events logs with associated ontology structures. The main contribution and benefit of this approach lies in the ability to analyze the models in different abstraction levels, which greatly helps understanding complicated processes. Our main application areas are related to engineering and documentation processes.

AB - Process mining uses various forms of event logs to extract process-related information, in order to discover, analyze conformance, or to enhance (business) processes. The vast majority of process mining applications are based on event logs with flat, keyword-based activity and resource descriptions. Many human-designed processes, however, are based on explicit workflow or lifecycle models with associated product models, both of which can be described using taxonomies or more complicated ontologies. This additional information can be used to analyze and visualize the processes with better insight of and improved formal access to the data. In this paper, we introduce a generic approach for enriching process mining using events logs with associated ontology structures. The main contribution and benefit of this approach lies in the ability to analyze the models in different abstraction levels, which greatly helps understanding complicated processes. Our main application areas are related to engineering and documentation processes.

KW - event logs, maintenance analysis, ontologies, process mining

U2 - 10.1145/2818187.2818273

DO - 10.1145/2818187.2818273

M3 - Conference contribution

SN - 978-1-4503-3948-3

SP - 138

EP - 143

BT - Proceedings of the 19th International Academic Mindtrek Conference

PB - ACM

CY - New York, NY, USA

ER -