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With rising importance of knowledge interchange, many industrial and academic applications have adopted ontologies as their conceptual backbone. However, industrial and academic environments are very dynamic, thus inducing changes to application requirements. To fulfill these changes, often the underlying ontology must be evolved as well. As ontologies grow(More)
Complex Event Processing (CEP) is concerned with timely detection of complex events within multiple streams of atomic occurrences. It has useful applications in areas including financial services, mobile and sensor devices, click stream analysis etc. Numerous approaches in CEP have already been proposed in the literature. Event processing systems with a(More)
The Semantic Web is intended to enable machine processability of web content and seems to be a solution for many drawbacks of the current Web. It is based on metadata that describe the formal semantics of Web contents. We present a novel, integrated and automated approach for migrating data-intensive Web applications into the Semantic Web. This approach can(More)
Streams of events appear increasingly today in various Web applications such as blogs, feeds, sensor data streams, geospatial information, on-line financial data, etc. Event Processing (EP) is concerned with timely detection of compound events within streams of simple events. State-of-the-art EP provides on-the-fly analysis of event streams, but cannot(More)
The importance of Web services has been recognized and widely accepted by industry and academic research. However, the two worlds have proposed solutions that progress along different dimensions. Academic research has been mostly concerned with expressiveness of service descriptions, while industry has focused on modularization of service layers — mostly(More)
The Semantic Web will bring structure to the content of Web pages, being an extension of the current Web, in which information is given a well-defined meaning. Especially within e-commerce applications, Semantic Web technologies in the form of ontologies and metadata are becoming increasingly prevalent and important. This paper introduce KAON-the Karlsruhe(More)
In this paper we present a comprehensive framework for measuring similarity within and between ontologies as a basis for the interoperability across various application fields. In order to define such a framework, we base our work on an abstract ontology model that allows adhering to various existing and evolving ontology standards. The main characteristic(More)
Addressing the dynamics and notification in the Semantic Web realm has recently become an important area of research. Run time data is generated by multiple social networks, sensor networks, various on-line services, and so on. The challenge is how to get advantage of a huge amount of real time data, i.e., how to integrate heterogeneous data streams,(More)