Mohamed Ben Ahmed Mhiri

A Semantic Social Recommender System Using Ontologies Based Approach For Tunisian Tourism

Tunisia is well placed in terms of medical tourism and has highly qualified and specialized medical and surgical teams. Integrating social networks in Tunisian medical tourism recommender systems can result in much more accurate recommendations. That is to say, information, interests, and recommendations retrieved from social networks can improve the prediction accuracy. This paper aims to improve traditional recommender systems by incorporating information in social network; including user preferences and influences from social friends. Accordingly, a user interest ontology is developed to make personalized recommendations out of such information. In this paper, we present a semantic social recommender system employing a user interest ontology and a Tunisian Medical Tourism ontology. Our system can improve the quality of recommendation for Tunisian tourism domain. Finally, our social recommendation algorithm is implemented in order to be used in a Tunisia tourism Website to assist users interested in visiting Tunisia for medical purposes.

Toward a User Interest Ontology to Improve Social Network-Based Recommender System

This paper aims to improve traditional recommender systems by incorporating information in social networks, including user preferences and influence from social friends. A user interest ontology is developed to make personalized recommendations out of such information. In this paper, we present a preliminary work that sheds light on the role of social networks as sources for the development of recommendation systems. The need for user interest ontology in recommender systems and its importance as a reference to find similar items in social network is also emphasized. Finally, we describe and account for the role of user interest model based on user interest ontology to deal with the lack of semantic information in personalized recommendation system.

A Multidimensional Knowledge Model for Business Process Modeling

This work deals with the Business Process Management (BPM) and the Knowledge Management (KM). Indeed, the knowledge has a fairly important role in the business process modeling. This importance leads us to talk about the business knowledge notion which can be decomposed in many dimensions. In this paper, we first define business knowledge and its different dimensions. Then, we propose a multidimensional business knowledge model using a set of rules that formalize of these dimensions organized around the three-key perspectives of business processes: (i) process perspective, (ii) organizational perspective and (iii) informational perspective. In this way, we have used ATL (Atlas Transformation Language) language, as a means to implement the whole of formalization rules, so as to construct the target model starting from the business process model(s).

Designing a User Interest Ontology-Driven Social Recommender System: Application for Tunisian Tourism

The tremendous growth of online social networks all over the world has created a new place and means of social interaction and communication among people. This paper aims to improve traditional recommender systems by incorporating information in social networks, including user preferences and influences from social friends. A user interest ontology is developed to make personalized recommendations out of such information. In this paper, we present a social recommender system employing a user interest ontology. Our system can improve the quality of recommendation for Tunisian tourism domain. Finally, our social recommendation algorithm will be implemented in order to be used in a Tunisia tourism Website to assist users interested in visiting Tunisian places.

A smart cloud repository for online instrument

During The last few decades, remote laboratories have been integrated into education and research in all fields of engineering. Remote access gives users hands on experience with direct control over instruments and devices, and allows them to be accessed 24 hours a day from anywhere. It appears to offer a simple solution to problems of distance, expensive equipment, and limited availability. The concept of remote lab is to make instruments available and ready to use for any kind of situations and experiments over internet. Currently, one of the challenges is how to find the appropriate instrument which responds to users requirements and constraints in order to conduct a given experiment. The most significant reason of this problem is the lack of information about online instruments that provides potentially interested parties the ability to achieve such a mission. Moreover and till now, it is impossible to use simultaneously, and for the same experiment, instruments that belong to different providers. Thanks to the semantic web technology, a significant step forward can be made in terms of general description model in order to make possible the utilization and cooperation of instruments belonging to different providers. Consequently, we propose in this paper a semantic web technology based model which attempts to solve the mentioned problems.

Knowledge Engineering for Business Process Modeling.

The process is the pivot of the business modeling. Thus, the goal of modeling is to present the main flows exchanged with the internal and external environment. Indeed, there are several pieces of information that take place throughout the process life cycle, from design to execution. Behind these pieces of information, there is a lot of business knowledge that should be acquired to improve the quality of such a modeling. The aim of this paper is to manipulate the business knowledge when developing modeling perspectives. For this reason, our solution consists in proposing an ontological approach to create a Multidimensional Business Knowledge base (MBK BASE) to help the designers of the business process with their tasks. In this way, on the one hand, we outline an overview of our proposed solution by relating it to other research. In fact, we define the main business concepts and we describe some semantic relationships which are expressed with the descriptive logic. On the other hand, we give an illustrative case study related to the treatment choice process of a patient with breast cancer in order to demonstrate the applicability of our solution.

An User Interest Ontology Based on Trusted Friends Preferences for Personalized Recommendation

The importance of personalized recommender systems has recently increased and its role in providing better experiences to different users has been demonstrated. The quality of the recommendation can be guaranteed based on the help of user interpersonal interests in a social network. Information obtained about users and their friends makes it unnecessary to look for similar users and to measure their rating similarity. In our work, we have developed a trusted friend’s calculation method for determining social trusted friends by analyzing user’s profile on Facebook. We have also represented the user’s model as an ontology that takes into consideration all trusted friends’ preferences and the degree of trust between friends. Afterwards, we have used this ontology in a semantic tourism recommender system as an e-tourism tool able to recommend items based on the users’ preferences and their trusted friends’ preferences.

A Meta-modeling Approach to Create a Multidimensional Business Knowledge Model Based on BPMN

Business processes are everywhere. To be more efficient, organizations look for a good business process modeling. In this way, to model a business process, the are a lot of knowledge which are responsible to present a part of the process in a good level of understanding. However, the issue to be addressed in this paper is how to formalize implicit pieces of knowledge figured in the business process so as to construct a business knowledge model which will be treat in a high understanding level. This paper contributes with a meta-modeling approach that the principle is to transform a business process model to a business knowledge model. The purpose of such an approach is to provide a way to automatically build a business ontology based on easy processing of business knowledge dimensions.

Ontology-based system for patient monitoring with connected objects

Abstract The enormous exploitation of connected objects for patient monitoring becomes a source of a huge quantity of health data. This data can be badly expressed, understood, and exploited by other systems and devices. Additionally, the huge amount of connected objects embeds with resource-constrained devices (sensors, actuators, RFIDS, etc.) are also challenging. Consequently, semantic representation of both medical connected objects and their data becomes important. Furthermore, the semantic reasoning of this data requires the definition of diverse rules in order to provide adequate and efficient results. This paper suggests two main contributions. The first one focuses on the semantic representation of both the medical connected objects and their data by proposing a HealthIoT ontology. The second contribution is proposed to provide practical backup to the use of this ontology. In fact, an IoT Medicare system is proposed to evaluate the HealthIoT ontology.

An Ontological Approach to Design Real-time Applications

These recent years, we have seen the emergence of several studies allowing a linkage between databases and ontologies to facilitate the design of databases. However, these studies do not address the needs of the advanced applications, because they do not integrate mechanisms that consider the temporal characteristic. In addition, the complexity of real-time applications is ever increasing which makes their design processes very difficult. For that purpose, a new vision will allow to fill in the limits of these studies and to suggest a method to conceptualize this kind of databases (real-time databases). This vision needs to define a new ontology to be integrated into these databases. This suggested ontology should be used to represent a domain in an explicit way without any ambiguity, to describe the most general categories and relations, and to define the temporal information and to resolve the semantic conflicts. In this paper, our solution is to advance an ontological modeling for real-time applications.