A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Snoop: an expressive event specification language for active databases
Data & Knowledge Engineering
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems
Composite Event Specification in Active Databases: Model & Implementation
VLDB '92 Proceedings of the 18th International Conference on Very Large Data Bases
Cayuga: a high-performance event processing engine
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Semantic approach to event processing
Proceedings of the 2007 inaugural international conference on Distributed event-based systems
Proceedings of the second international conference on Distributed event-based systems
Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization
Modular Ontologies: Concepts, Theories and Techniques for Knowledge Modularization
Event Processing: Designing IT Systems for Agile Companies
Event Processing: Designing IT Systems for Agile Companies
F--a model of events based on the foundational ontology dolce+DnS ultralight
Proceedings of the fifth international conference on Knowledge capture
Towards semantic event processing
Proceedings of the Third ACM International Conference on Distributed Event-Based Systems
Rule-based composite event queries: the language XChangeEQ and its semantics
RR'07 Proceedings of the 1st international conference on Web reasoning and rule systems
Design science in information systems research
MIS Quarterly
Combining RDF and part of OWL with rules: semantics, decidability, complexity
ISWC'05 Proceedings of the 4th international conference on The Semantic Web
Enriching events to support hospital care
Proceedings of the 7th Middleware Doctoral Symposium
OECEP: enriching complex event processing with domain knowledge from ontologies
Proceedings of the Fifth Balkan Conference in Informatics
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Event-driven systems are highly depending on the quality of detection and processing of events. Many of complex real-world events cannot be processed by the existing event processing systems because they are too complex to be understood and processed by the systems. Complex events can be inferred from raw primitive events based on their incoming sequence, their syntax and semantics. Usage of ontological knowledge about events and their relationship to other non-event concepts in the application domain, can improve the quality of event processing. In this Ph.D. thesis, I am aiming to address the challenges of adding formalized vocabularies/ontologies and declarative rules to the area of event processing for enabling more intelligent event processors which can understand the senses and semantics of events.