Learn 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)
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 initiative has led to an upsurge of the interest in rules as a general and powerful way of processing, combining, and analyzing semantic information. Since several of the technologies underlying rule-based systems are already quite mature, it is important to understand how such systems might perform on the Web scale. OpenRuleBench is a(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)
Watson reads a clue A. Lally J. M. Prager M. C. McCord B. K. Boguraev S. Patwardhan J. Fan P. Fodor J. Chu-Carroll The first stage of processing in the IBM Watsoni system is to perform a detailed analysis of the question in order to determine what it is asking for and how best to approach answering it. Question analysis uses Watson’s parsing and semantic(More)
Complex Event Processing (CEP) deals with the analysis of streams of continuously arriving events with the goal of identifying instances of predefined meaningful patterns (complex events). Complex events are detected in order to trigger time-critical actions in many areas including sensors networks, financial services, transaction management, business(More)
We define logic programs with defaults and argumentation theories, a new framework that unifies most of the earlier proposals for defeasible reasoning in logic programming. We present a model-theoretic semantics and study its reducibility and well-behavior properties. We use the framework as an elegant and flexible foundation to extend and improve upon(More)
In this paper, we present a powerful logical encoding of complex event patterns into Transaction Logic programs. Complex Event Processing (CEP) deals with finding composed events and has useful applications in areas ranging from agile business and enterprise processes management, financial market applications to active Web and service oriented computation.(More)
Complex Event Processing (CEP) deals with processing of continuously arriving events with the goal of identifying meaningful patterns (complex events). In existing stream database approaches, CEP is manly concerned by temporal relations between events. This paper advocates for a knowledge-rich CEP with Stream Reasoning capabilities. Secondly, we address the(More)
With the advent of the generalized multiprotocol label switching (GMPLS) architecture for the unified control of IP/MPLS over WDM networks, the task to simultaneously optimize both the IP and the optical layer has gained much interest. In this paper we review the most important challenges raised by the integrated routing and wavelength assignment problem in(More)