Laila Benhlima

Parallel and Distributed Population based Feature Selection Framework for Health Monitoring

Smart health monitoring systems have become the subject of an extensive research during the past decades due to their role in improving the quality of health care services. With the increase of heterogeneous data produced by these systems, traditional data preprocessing methods are not able to extract relevant information. Indeed, feature selection is a key phase to preprocess data, it aims to select a relevant feature subset to reach better classification results with an affordable computational cost. In this study, we provide an overview of existing feature selection methods especially those used in the context of Bigdata, pointing out their advantages and drawbacks. Then, we propose a parallel population based feature selection framework for health monitoring.

How semantic technologies transform e-government domain

Purpose – In e-government domain, an efficient semantic interoperability of services is a big challenge. In this context, semantic technologies play a fundamental role in numerous e-government programs. Indeed, these technologies enable enriching the public service description provided by different public administrations with additional semantic information, which allows automatic services processing and information exchange between involved members in comprehensive and interpretable manner, thus facilitating service integration and cooperation. The most frequently used technologies in this area are semantic web services (SWS) technology and ontology. Thus, for modelling efficiently public services, the authors have exploring, studying and analyzing some of e-government researches and projects that applied semantic technologies. Design/methodology/approach – In this paper, the authors address how semantic technologies transform the e-government domain through exploring and studying the use of SWS and onto...

Overview of knowledge extraction techniques in five question-answering systems

Knowledge extraction is a complex process allowing the identification of previously unknown structures and potentially useful original information from big masses of data. Among its domains of application, we find the question answering systems. This article aims to provide an overview of five Q/A systems : IntelliServe, LaSIE, Quantum, SBLD and Watson. IntelliServe and Watson are commercial and the others are dedicated to the field of research. Each of these systems uses special techniques for the treatment of requests as well as for the extraction of the response.

Petri net extension for traffic road modelling

Traffic flow modelling is an essential step for designing and controlling the transportation systems. It is not only necessary for improving safety and transportation efficiency, but also it can yield economic and environmental benefits. Consider the discrete and continuous aspects of traffic flow dynamics, hybrid Petri nets have proved to be a powerful tool for approaching this dynamics and describe the vehicle behavior accurately since they include both aspects. A new extension of hybrid petri net is presented in this paper for generalizing the traffic flow modelling through taking into account state dependencies on external rules which can be timed and also nondeterministic time such as stop sign or priority roads. Moreover, a segmentation of roads is proposed to deal with the accurate localization of events.

Ontology-based knowledge representation for e-government domain

The development of an efficient e-Government for offering information and electronic services (e-services) to citizen and enterprise is the main objective of many Governments. However, the Public administrations (PA) are characterized by their heterogeneous and distributed environment, which make their cooperation and integration under the umbrella of e-Government more difficult. Thus, developing an e-Government knowledge base is the main challenge of many e-Government strategies. This knowledge base (KB) enables a well definition and description of information and services. The involved PA can use this KB to describe their appropriate concepts, organizational and legal structures, activities and business processes. We present in this paper a knowledge base modelling approach for e-Government domains. We use in particular the semantic technologies such as ontologies, semantic web and semantic web services. These technologies enable improving the description of data and services with additional semantic information, which allow an automatic processing of information and services between involved Public administrations.

OWLSGOV: An Owl-S Based Framework for E-Government Services

The development of e-Government services becomes a big challenge of many countries of the world. However, in a distributed environment such as the e-government area, different interactions are made between heterogeneous systems. Therefore, a system that enables developing, integrating, discovering and executing these services is necessary. For this purpose, we present in this paper an approach for developing efficiently the e-government services based on semantic web services (SWS) technology and Multi-Agent Systems (MAS). In fact, the SWS enrich web services with semantic information (meaning) to facilitate the discovery, integration, composition and execution of services. The MAS enable building an environment in which the public administrations can publish their services, users (e.g. citizens) can express their needs and services can be discovered. In this paper, we present our framework for semantic description of e-government services based on SWS and on OWL-S framework in particular. We present as well the architecture of a MAS, which allows improving the dynamic usage processes of e-government services such as integration and discovery.

Extended Batches Petri Nets Based System for Road Traffic Management in WSNs

One of the most critical issues in modern cities is transportation management. Issues that are encountered in this regard, such as traffic congestion, high accidents rates and air pollution etc., have pushed the use of Intelligent Transportation System (ITS) technologies in order to facilitate the traffic management. Seen in this perspective, this paper brings forward a road traffic management system based on wireless sensor networks; it introduces the functional and deployment architecture of the system and focuses on the analysis component that uses a new extension of batches Petri nets for modeling road traffic flow. A real world implementation of visualization and data analysis components were carried out.

A benchmark for spatial and temporal correlation based data prediction in wireless sensor networks

Missing data is an inevitable problem in wireless sensor network and the way missing values are handled can significantly affect the analysis results involving such data. To address data missing issues, spatial correlation and temporal correlation modeling can be applied. This paper aims at reviewing some popular spatial and temporal correlation based methods. The proposed review includes a critical overview through a summary of pros and cons of these methods and a comparison between them based on simulation results. To our best knowledge, there is no such comparative benchmarking study in the current literature.

Moroccan e-Government Strategy and Semantic Technology

The Moroccan Government has launched the strategic plan “Digital Morocco 2010” in October 2009. Its main objective is to provide integrated, transparent, and efficient e-government services which meet the expectations and the needs of the business sector and the population at large. However, we unfortunately ended up with different government entities offering several separate and independent e-government services which don’t meet the main strategic objectives, especially the “user-oriented e-services” goal. An efficient way to solve this problem would be to develop and adopt a common knowledge-based model and a framework for services modeling. In this context, information technology, particularly semantic technology plays a fundamental role in any e-government services development. Indeed, semantic technologies, such as ontologies and semantic web services, enable enriching e-government services description with additional semantic information, which allows an automatic processing of information and services and communication between involved parties. Therefore, the underlying research question of this chapter is: “what are the appropriate methods, frameworks, and models that can help in the development of integrated, transparent, and efficient e-government services?” In this chapter, we will first explore and analyze some semantic web service formalisms as well as a set of available metadata, standards, and referenced models developed by other e-government researches and projects; then, we will present our modeling framework for e-government services and its e-Customs implementation through the “Customs Clearance of Goods” case study.

Data integration system : Toward a prototype

Date sources integration is one of the major challenges for nowadays enterprise information system. Indeed, because of growing heterogeneous systems, access to information is more and more complex. In this context, we have implemented a prototype of WASSIT, a data integration system based on mediation-adaptation architecture. This paper briefly describes the meta-model ontology used in the integration process of WASSIT. It also describes the prototype implemented features such as rewriting and execution modules.