in today's business environment in which coordination and adaptation with constant changes are the only ways of survival, real-time monitoring of activities and making the decisions accordingly are necessary. since performance measurement cannot be managed independent of business processes, business activity monitoring (bam) systems should monitor performance metrics based on business processes...

Complex Event Processing (CEP) has evolved into the paradigm of choice for the development of monitoring and reactive applications. It also has a strong impact on future information systems and the way we subscribe to and consume information. Besides being a highly active research field, CEP already plays an important role in many application areas like logistics, energy management, finance, or...

Recently a number of approaches to combining Semantic Web technologies such as RDF(S) and OWL with complex event processing have been proposed. This paper examines these approaches, by emphasizing their advantages and challenges. Key-Words: Complex event processing (CEP), semantic complex event processing (SCEP), ontologies.

State-of-the-art Complex Event Processing technology (CEP),while effective for pattern query execution, is limited in itscapability of reacting to opportunities and risks detected bypattern queries. Especially reactions that affect the queryresults in turn have not been addressed in the literature.We propose to tackle these unsolved problems by embed-ding active rule sup...