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This paper presents a technique for semantic Web service composition inspired by the behavior of ants. The proposed technique combines a service composition graph model with the ant colony optimization met heuristic to select the optimal composition solution. In our approach, we have considered as selection criteria the QoS attributes of the services and the semantic quality of the connections between...
This paper presents ArhiNet, an integrated system for generating, processing and querying semantically enhanced archival eContent related to the middle age history of Transylvania, targeting cultural heritage preservation. The main workflows of the system aim to perform semantically enhanced eContent generation and knowledge acquisition, as well as knowledge processing and retrieval. Through knowledge...
In this paper we approach the context management problem by defining a self-healing algorithm that uses a policy-driven reinforcement learning mechanism to take run-time decisions. The situation calculus and information system theories are used to define and formalize self-healing concepts such as context situation entropy and equivalent context situations. The self-healing property is enforced by...
This paper presents an immune-inspired technique for optimizing a server energy consumption. The proposed technique is similar with an artificial immune system associated to a server, aiming to detect non-optimal server energy consumption states and to take the appropriate actions that would bring the server into an optimal state. The optimization technique has two main stages: an initialization stage...
This paper proposes a generic policy based self-management model that can be used to automatically detect and repair the problems appeared during the context adaptation processes. To successfully capture and evaluate the dynamic rules that govern the context aware adaptation processes we have defined an generic context policy representation model and its associated reasoning language conversion model...
This paper approaches the use of both context and semantic information in the information retrieval process with the goal of developing context-based semantically enhanced information retrieval systems. To achieve our objective we have identified, defined and formalized three distinct types of context information relevant for an information retrieval system: knowledge context information, user context...
In this paper we propose a hierarchical data model for representing ontologies. The model is suited for efficiently handling hierarchical relationships, frequently found in the ontology structure. Our hierarchical data model defines a generic representation using hierarchies that can be persisted in a general purpose records structure. We introduce two algorithms that efficiently represent the hierarchical...
This paper proposes a generic self-healing algorithm that automatically detects, diagnoses and repairs the problems appeared during the context aware systems' adaptation processes. The set, situation calculus and information system theories are used to define and formalize the concepts of context situation entropy and equivalent context situations together with a set of self-healing principles. These...
This paper proposes a new method for the automatic composition of semantic Web services. The proposed method consists in constructing a graph and then searching for a sub-graph of this graph, which will represent a candidate composition solution. First, the method constructs a directed acyclic graph, which represents the functional semantics of the Web services as well as the semantic dependency between...
This paper presents a new approach for the automatic composition of semantic Web services based on the AI planning graph technique. In the context of Web service composition we have extended the planning graph with the new concepts of service cluster and semantic similarity link and have adapted and enhanced an immune-inspired algorithm that ranks the composition solutions according to user preferences...
This paper presents a novel approach for semantic Web service composition based on the formalism of fluent calculus. We show how the planning capabilities of the fluent calculus can be used to automatically generate an abstract composition model. For describing Web service capabilities we have used an OWL-S ontology. Based on the OWL-S ontology semantics, we encode the Web service description in the...
This paper addresses two fundamental research problems in the domain of pervasive autonomic systems: the development of a generic context model that can be used to represent general purpose contexts in a system interpretable way and the autonomic context model management. The context model is generically represented using a triple set consisting of context resources, actors and policies. The model...
The increasing complexity of the context sensitive systems, and the difficulties of their management, administration and adaptation have headed us towards the necessity of integrating self-* autonomic computing paradigms (self-configuring, self-healing, self-optimizing and self-protecting) into the development of context sensitive pervasive systempsilas functional components. This paper introduces...
This paper addresses two fundamental research problems in the domain of context sensitive systems: the development of a generic context model that can be used to represent general purpose contexts in a computer interpretable way and the context model management. The context model is represented using a triple set consisting of context resources, actors and policies. The model is mapped onto real contexts...
Web service composition facilitates the creation of new services out of existing ones, for satisfying a complex functionality. Automatic Web service composition is considered as one of the most promising features that can be realized by Web services. This paper presents a novel approach for semantic Web service composition based on the fluent calculus. We show how the planning capabilities of the...
This paper addresses the problem of logistics in the context of supplying the goods requested by a business partner. We present a logistic chain model that captures the entities and relations involved in the process of creating and using a logistic chain and managing traceability data. As a solution for the model instantiation, we propose a semantically enhanced broker that acts a logistics provider...
Several frameworks for the semantic annotation of Web services have been proposed in order to enhance the processes of service discovery and composition. This paper presents SAWS, as a new tool for semantic annotation of web services with data and protocol semantics aiming the enhancement of the WSDL descriptions with semantic concepts provided by domain ontologies. The proposed tool combines string...
This paper addresses the problems of modeling and simulating physical machines, part of complex industrial production lines. The direct execution of industrial workflows on production line machines before integration testing can be very expensive and may lead to improper machine operation and even to non recoverable faults. In order to simulate the execution of industrial workflow models for integration...
Web services are software components that were designed to improve interoperability and integration of applications developed on different platforms. Automatic Web service composition and dynamic service discovery and selection are the most promising features that can be provided by Web services. These features can be achieved by adding semantics to the different layers of the Web service conceptual...
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