Semantic Web Services (SWS) propose to extend the traditional Web Services technologies on the way to consolidate ontologies and semantics. This makes it possible to select, integrate and invocate services dynamically. In this way, services are able to dynamically adapt themselves to changes without human intervention. The main purpose of this paper is to present an algorithm for matching SWS. The algorithm uses the description of the service capabilities to match the semantic values. The traditional matching has been improved using ontologies which constitute a step further in the matching algorithms. To implement the algorithm, an agent FIPA compliant architecture has been designed and developed. The results obtained are positive. The semantic web services framework developed in combination with the use of the matchmaking algorithm, which allows finding services based on their similarities.
Radio environment maps can be a powerful tool for achieving efficient context-aware resource allocation in 5G heterogeneous networks. In this paper, we consider an heterogeneous network formed by a traditional cellular network and a wireless sensor network. The role of the wireless sensor network is to estimate the radio environment map of the cell using a geostatistical interpolation technique named Kriging. A distributed clustering algorithm was proposed in a previous work in order to decrease the complexity of the estimation. In our contribution, the clustering formation process is modified to include the communication cost as a metric to determine which nodes are included in each cluster. Simulation results show that the proposed algorithm improves the estimation quality for sparse wireless sensor networks, and preserves the network lifetime by forming clusters with an average of 5 nodes.
The present paper describes the main characteristics and components of a tool developed for integrating the definition of profiles for semantic Web Services. This tool is based on the languages DAML-S and OWL-S. It includes the ontology visualization and consistency verification which specifies the concepts that a Web Service interacts with. Starting from a service description interpreted by a computer and by the means used for accessing the service, it is possible to discover which software agents use the service. The tool can generate information in different formats to represent graphic information based on XML, such as the SVG format proposed by the W3C. The tool was developed in Java language. It is being used for the visualization of ontologies and for the semantic description of services in traffic information systems. The LISITT group (Laboratorio Integrado de Sistemas Inteligentes y Tecnologías de la informació n de Tráfico) developed this tool at the Robotics Institute at the University of Valencia.Index Terms-Intelligent Web services and semantic Web, ontology design.
Nowadays there are vocabularies or languages able to describe concepts and data structures related to road traffic. Nevertheless, this description provides only a syntactic approach and it forgot the semantic knowledge. There not exist vocabularies or ontologies with semantic value that add significance to the vocabulary concepts and their relations.The objective to be reached of this paper is to present the research developed to build a representation scheme of a particular domain: the road traffic, with a well defined semantics. The inclusion of this semantic allows to obtain a formalized knowledge model. This model enables the development of an integrated architecture of traffic information from semantic web services. The ontologies created in this work are used to describe and add semantic value to the current parameters of the traffic services.
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