Data about process executions has witnessed a notable increase in the last decades, due to the growing adoption of Information Technology systems able to trace and store this information. Meanwhile, Semantic Web methodolo- gies and technologies have become more and more robust and able to face the issues posed by a variety of new domains, taking advantage of reasoning services in the “big data” era. In this demo paper we present ProMo, a tool for the col- laborative modeling and monitoring of Business Process executions. Specifically, by exploiting semantic modeling and reasoning, it enables the reconciliation of business and data layers as well as of static and procedural aspects, thus allowing business analysts to infer knowledge and use it to analyze process executions.
Modeling and Monitoring Processes Exploiting Semantic Reasoning / Dragoni, Mauro; Bertoli, Piergiorgio; Di Francescomarino, Chiara; Ghidini, Chiara; Nori, Michele; Pistore, Marco; Tiella, Roberto; Corcoglioniti, Francesco. - 1272:(2014), pp. 121-124. ( 13th International Semantic Web Conference (ISWC 2014) Riva del Garda, Italy October 21, 2014).
Modeling and Monitoring Processes Exploiting Semantic Reasoning
Dragoni, Mauro;Di Francescomarino, Chiara;Ghidini, Chiara;Pistore, Marco;Tiella, Roberto;Corcoglioniti, Francesco
2014-01-01
Abstract
Data about process executions has witnessed a notable increase in the last decades, due to the growing adoption of Information Technology systems able to trace and store this information. Meanwhile, Semantic Web methodolo- gies and technologies have become more and more robust and able to face the issues posed by a variety of new domains, taking advantage of reasoning services in the “big data” era. In this demo paper we present ProMo, a tool for the col- laborative modeling and monitoring of Business Process executions. Specifically, by exploiting semantic modeling and reasoning, it enables the reconciliation of business and data layers as well as of static and procedural aspects, thus allowing business analysts to infer knowledge and use it to analyze process executions.| File | Dimensione | Formato | |
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