Web services synchronization health care application

With the advance of Web Services technologies and the emergence of Web Services into the information space, tremendous opportunities for empowering users and organizations appear in various application domains including electronic commerce, travel, intelligence information gathering and analysis, health care, digital government, etc. In fact, Web services appear to be s solution for integrating distributed, autonomous and heterogeneous information sources. However, as Web services evolve in a dynamic environment which is the Internet many changes can occur and affect them. A Web service is affected when one or more of its associated information sources is affected by schema changes. Changes can alter the information sources contents but also their schemas which may render Web services partially or totally undefined. In this paper, we propose a solution for integrating information sources into Web services. Then we tackle the Web service synchronization problem by substituting the affected information sources. Our work is illustrated with a healthcare case study.Comment: 18 pages, 12 figure

A Data Warehouse Assistant Design System Based on Clover Model

Nowadays, Data Warehouse (DW) plays a crucial role in the process of decision making. However, their design remains a very delicate and difficult task either for expert or users. The goal of this paper is to propose a new approach based on the clover model, destined to assist users to design a DW. The proposed approach is based on two main steps. The first one aims to guide users in their choice of DW schema model. The second one aims to finalize the chosen model by offering to the designer views related to former successful DW design experiences.Comment: 15 Pages, IJDM

A Model Based Metaheuristic for Hybrid Hierarchical Community Structure in Social Networks

In recent years, the study of community detection in social networks has received great attention. The hierarchical structure of the network leads to the emergence of the convergence to a locally optimal community structure. In this paper, we aim to avoid this local optimum in the introduced hybrid hierarchical method. To achieve this purpose, we present an objective function where we incorporate the value of structural and semantic similarity based modularity and a metaheuristic namely bees colonies algorithm to optimize our objective function on both hierarchical level divisive and agglomerative. In order to assess the efficiency and the accuracy of the introduced hybrid bee colony model, we perform an extensive experimental evaluation on both synthetic and real networks

USING HAUSDORFF DISTANCE FOR NEW MEDICAL IMAGE ANNOTATION

ABSTRAC

Ontologies for location based services quality enhancement: the case of emergency services

A good health rescue system is primarily based on a good emergency management. Therefore, physicians in general and mobile ones in particular have to react promptly and efficiently to save human lives and help people with serious or life-threatening conditions especially if they are called to treat them far from medical institutions. Taking effective and swift actions to reach the patient and/or the medical institution in time may help to reduce serious problems, and consequently improve the chances of patient cure and/or survival that present the primary concern of the physician. To overcome the emergency management limits of nowadays, this paper propose a medical assistance system based on ontologies that manage and exploit the large and rapidly growing volume of medical data in order to facilitate the on road decision making for the mobile physician. This work, more than determining the nearest health care institution, answers to the physician needs to distinguish whether the closest health care institution have the necessary medical resources (Equipments, services, staff etc.) and whether these resources are available to fulfill the patient needs