Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes
Okoye, K., Islam, S., Naeem, U. and Sharif, S. 2020. Semantic-Based Process Mining Technique for Annotation and Modelling of Domain Processes. International Journal of Innovative Computing, Information and Control. 16 (3), pp. 899-921.
|Authors||Okoye, K., Islam, S., Naeem, U. and Sharif, S.|
Semantic technologies aim to represent information or models in formatsthat are not just machine-readable but also machine-understandable. To this effect, thispaper shows how the semantic concepts can be layered on top of the derived models toprovide a more contextual analysis of the models through the conceptualization method.Technically, the method involves augmentation of informative value of the resulting mod-els by semantically annotating the process elements with concepts that they represent inreal-time settings, and then linking them to an ontology in order to allow for a moreabstract analysis of the extracted logs or models. The work illustrates the method usingthe case study of a learning process domain. Consequently, the results show that a systemwhich is formally encoded with semantic labelling (annotation), semantic representation(ontology) and semantic reasoning (reasoner) has the capacity to lift the process miningand analysis from the syntactic to a more conceptual level.
|Journal||International Journal of Innovative Computing, Information and Control|
|Journal citation||16 (3), pp. 899-921|
File Access Level
|Digital Object Identifier (DOI)||doi:10.24507/ijicic.16.03.899|
|Web address (URL)||https://doi.org/10.24507/ijicic.16.03.899|
|Publication process dates|
|Deposited||25 Jun 2020|
|Accepted||13 Jan 2020|
|Copyright holder||© 2020 ICIC International|
|Copyright information||All Rights Reserved.|
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