The Ontology-Based Event Mining Tools for Monitoring Global Processes
Abstract — This paper describes the Event Mining platform. The platform allows analyzing information extracted from Internet sources and structuring data for process mining execution according to event log format. The basic component of the monitoring system is the multifaceted ontology joined a few ontology types. The problem ontology describes domains representing research interests of experts needing analysis of world events to model global processes including events of specified types. Our goal for this part of KB is to provide users ability to independently expand the under study field without having any subject limitations, which makes it possible to talk about obtaining global processes models in result. The log ontology describes event logs formats. It is a “meta-ontology” for structuring data extracted from Internet. The sources ontology defines information sources used by experts for analysis. Ontologies are used to search information on events with information retrieval tools. Ontology-driven architecture is described. The algorithm for optimizing task of searching and structuring the information on events is presented. Some examples of event mining with different tools are considered in the paper.