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Semantic DMN: Formalizing Decision Models with Domain Knowledge
(Springer, 2017)The Decision Model and Notation (DMN) is a recent OMG standard for the elicitation and representation of decision models. DMN builds on the notion of decision table, which consists of columns representing the inputs and ... -
OBDA for Log Extraction in Process Mining
(Springer, 2017)Process mining is an emerging area that synergically combines model-based and data-oriented analysis techniques to obtain useful insights on how business processes are executed within an organization. Through process mining, ... -
Semantic DMN: Formalizing Decision Models with Domain Knowledge (Extended Abstract)
(CEUR Electronic Workshop Proceedings, 2017) -
The onprom Toolchain for Extracting Business Process Logs using Ontology-based Data Access
(CEUR-WS.org, 2017)Process mining techniques require the input data to be explicitly structured in the form of an event log. Unfortunately, in many real world settings, such event logs are not explicitly given, but they are implicitly stored ... -
Ontology-Based Data Access for Extracting Event Logs from Legacy Data: The onprom Tool and Methodology
(Springer, 2017)Process mining aims at discovering, monitoring, and improving business processes by extracting knowledge from event logs. In this respect, process mining can be applied only if there are proper event logs that are compatible ...
