Abstract With the advent of the Web of Linked Data, new challenges to federated query processing are emerging. Different from traditional federated database systems which do static data integration, this Web of Data is open and ever-changing. In this paper, we present a agent-based architecture providing a flexible and decoupled solution for the federated queries over Linked Data. Based on the... With the advent of the Web of Linked Data, new challenges to federated query processing are emerging. Different from traditional federated database systems which do static data integration, this Web of Data is open and ever-changing. In this paper, we present a agent-based architecture providing a flexible and decoupled solution for the federated queries over Linked Data. Based on the presented architecture, a Linked Data Management System (LDMS) has been developed. LDMS manages Linked Data in a virtual way, i.e., it does not load remote data into a local data store. With an application scenario, we demonstrate the scalability and extensibility of the presented architecture. Read More Read Less

Abstract A conceptual multi-agent framework based on a knowledge-based collaborative decision support is proposed in this paper to design hybrid intelligent decision support systems (HIDSS) based on policy settings for the support of intelligent and pro-active decision making activities. An example of HIDSS has been developed to support the design and configuration of small wireless sensor networks (WSN). A WSN prototype... A conceptual multi-agent framework based on a knowledge-based collaborative decision support is proposed in this paper to design hybrid intelligent decision support systems (HIDSS) based on policy settings for the support of intelligent and pro-active decision making activities. An example of HIDSS has been developed to support the design and configuration of small wireless sensor networks (WSN). A WSN prototype is designed in this research to supply real time environmental and context related data and decision knowledge to emergency response applications specifically in the domain of civil defense. Its integration in the HIDSS is essential for the interactive support of all the decision making process phases, and will contribute to enhance the quality and the scope of automated individual and group decision making in emergency preparedness and response applications. This automation is based on the concept of Just In Time Knowledge Management (JITKM) enabled by the use of WSNs. The conceptual framework is firstly presented after a brief definition of the problem and design requirements focusing on both organizational and technical perspectives, in the context of inter-organizational activities performed in a complex and dynamic management environment. Then the solution developed for the design and configuration of the WSN is succinctly described. It consists of eliciting the sensing requirements translated into the homogenous sensor node specifications, localizing these sensor nodes using a pre-planning process and configuring them prior to their deployment. The configuration characteristics of the homogenous and heterogeneous sensor nodes are presented in terms of policy settings for the definition of the WSN architecture. Results from the case study are finally presented to illustrate the implementation of the solution in emergency preparedness for fire detection. Read More Read Less

Abstract Deaths due to traffic accidents became a major problem that expenses governments billions of Pounds. In case of highway accidents, acknowledgment to the proper authorities is highly needed. The main objective of this paper is to create a Real Time Traffic Accident Warning System (RTTAWS) using Wireless Sensor Network (WSN) and Radio-Frequency Identification (RFID) Technologies. This paper explains the hardware... Deaths due to traffic accidents became a major problem that expenses governments billions of Pounds. In case of highway accidents, acknowledgment to the proper authorities is highly needed. The main objective of this paper is to create a Real Time Traffic Accident Warning System (RTTAWS) using Wireless Sensor Network (WSN) and Radio-Frequency Identification (RFID) Technologies. This paper explains the hardware prototype setup for RTTAWS, the algorithms used, the advantages and the limitations of the entire system. Also the configuration of the setup and application software is elaborated. Sensors installed in a vehicle detect the accident’s location, the vehicle’s speed just before the accident and the number of passengers in the vehicle. The sensors then send an alert signal to a monitoring station. The monitoring station, in turn, tracks the location where the accident has occurred and directs casualty alert to the authorities concerned. Read More Read Less