Ontology-Driven System for Monitoring Global Processes on Basis of Internet News
Abstract — An approach to development of ontology-driven system for monitoring global processes is presented. Ontology-driven architecture (ODA) intends using a few ontology types for different purposes. Ontologies are used to search Internet news with information retrieval tools. The domain ontology describes research interests of the experts needing analysis of world events and creation of global processes models including events of specified types. The sources ontology defines information sources (news feeds for example) used by experts for analysis. Also, domain ontologies are used to clarify results at facts extracting for forming event logs and to cluster objects in logs. Event logs formats are described with logs ontology. It allows storing logs instances with different settings too. Analysts can use these logs to compare results of global processes monitoring during time periods given by experts. Global process models are constructed with process mining tools on the basis of event logs. An advanced multilevel ontology is the kernel of system. The general system architecture and ontology representation are described. Some examples are included in the paper.