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There are a number of important societal problems that resist conventional, i.e., centralized, solutions. The problems affect the management of our economic systems, climate, energy systems, transportation systems, telecommunication systems, and infrastructure. They are characterized as being distributed and many-faceted, with a large number of interdependent components. For example, the routes of...
Autonomic computing is the solution proposed to cope with the complexity of today's computing environments. Self-management, an important element of autonomic computing, is also characteristic of single and multiagent systems, as well as systems based on service-oriented architectures. Combining these technologies can be profitable for all - in particular, for the development of autonomic computing...
The constraints revealed during a logical composition of services are often too abstract for automatic service composition. The abstract constraints have to be transformed to concrete attributes. This research investigates semi-automatic transformation of intermediate constraints to concrete constraints for automatic service composition. It considers simultaneously a stack of composition attributes...
Some of the characteristics that make service-oriented architectures appealing for enterprise applications also make them vulnerable to security breaches. The vulnerabilities are primarily due to the openness of the service-execution environment, to the dynamic run-time selection and composition of services, and to the autonomy of the individual services. In this paper, we describe these vulnerabilities...
Modular applications, components, and services are all ways of describing the product of an organization's efforts to embody its capabilities in autonomous software modules. In fact, the integration of services using well-established workflow paradigms could amplify an organization's capabilities with the creation of a full-blown, inter-organizational system of systems. This is the essence of Web-scale...
Automatic service discovery and selection is the key aspect for composing Web services dynamically in service-oriented computing (SOC). Current approaches to automating discovery and selection make use of only structural and functional aspects of the Web services. We believe that behavioral selection of Web services should be used to provide more precise results. Service behavior is difficult to specify...
Solving general real-life problems requires a set of appropriate services to be composed via planning, scheduled, and then executed. Web service composition is the most difficult aspect and is our focus. In this paper, we describe a new framework for intelligent semantic Web services that supports the planning and scheduling aspects by a combined HTN planner and CSP. The framework covers all of the...
A workflow can be represented as a set of Web services and a specification for the control and data flows among these services. It can also be represented as a colored Petri net (CPN), which is a graphical and mathematical modeling tool. In multiagent systems (MAS), a workflow is a dynamic set of tasks performed by a set of agents to reach a shared goal. We show herein that commitments among agents...
Service-oriented computing (SOC) is viewed as the computing paradigm of the near future, allowing for the dynamic interaction of services provided by distributed business partners. Being a declarative knowledge representation model, ontologies serve as a foundation for SOC. Due to the heterogeneous nature of independently designed ontologies, it is problematic for partners to understand the concepts...
A tool that uses natural language processing techniques to extract causal relations from text and output useful Bayesian network fragments is described. Previous research indicates that a primarily syntactic approach to causal relation detection can yield good results. We used such an approach to identify subject-verb-object triples and then applied various rules to determine which of the triples...
Thermography is an alternative to X-Ray mammography for tumor detection. Sensitivity of thermography is increased by application of low level microwave energy. Data obtained using guinea pig and rat implantable tumors is presented. Computer aided analysis techniques of the data is discussed.
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