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Process Socio Space Discovery Based on Semantic Logs
Abstract
While the cyber physical society (CPS) describes the future environment of collaboration and coordination between the cyber space and the socio space, nowadays, business process management systems (BPMS) are coined to specify how the computational resources can coordinate and collaborate by aligning all aspects of an organization through a set of activities, performed by their relevant collaborators, to purposefully achieve a common business goal. Generally, cyber physical systems promise a tight integration between the cyber space and the socio space in their interactions. In this paper, we focus on how leveraging existing BPMS for achieving this integration by discovering process socio space based on log analysis. Concretely, we propose an Organizational Ontology specifying the organizational socio space model. This ontology is used to semantically annotate logs and establish a knowledge base that will be used to semantically discover relationships between performers in the process socio space. Our approach has been implemented within the ProM framework.
Keywords
Process mining; Socio space organizational ontology; Process log analysis
Citation Format:
Rami Sellami, Walid Gaaloul, Bruno Defude, "Process Socio Space Discovery Based on Semantic Logs," Journal of Internet Technology, vol. 14, no. 3 , pp. 401-412, May. 2013.
Rami Sellami, Walid Gaaloul, Bruno Defude, "Process Socio Space Discovery Based on Semantic Logs," Journal of Internet Technology, vol. 14, no. 3 , pp. 401-412, May. 2013.
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Published by Executive Committee, Taiwan Academic Network, Ministry of Education, Taipei, Taiwan, R.O.C
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