Résumé

In this paper, we introduce a framework for knowledge reuse and deduction in mechanical
products design and development. The proposed system e®ectively exploits the capitalized and
inferred knowledge. To this end, we settled up an ontology dealing with the design process of
mechanical products such as \the car". The ontology-based framework is supported by a
software tool that brings an automatic and personalized assistance to correspondent actors
using the deduction process. Indeed, the systems provides the relevant knowledge to the suitable
users in order to facilitate their professional tasks considering their roles and collaboration.
Experimental results have demonstrated the e®ectiveness of reusing knowledge during product
development lifecycle.

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Workflow management is a core component of modern Enterprise Information Systems (EISs) infrastructure that automates the execution of critical business processes. One of the particular interests of the security community is how to ensure the completion of the workflow execution in the presence of authorisation constraints. These constraints present some restrictions on the users or the roles that are authorised to execute the workflow tasks. The goal is to enforce the legal assignments of access privileges to the executors of the workflow tasks. Despite the variety of approaches proposed in this context, an approach dedicated to the inter-organisational workflows is still missing. In this paper, we take a step towards this goal by proposing a multi-agent-based model, named RPMInter-Work (task-Role assignment Planning Model for Inter-organisational Workflow). Our approach aims to perform the planning of the task-role assignments in inter-organisational workflow in presence of authorisation constraints that are related to task-role assignments. In our research work, this planning problem is formulated as a DisCSP (Distributed Constraint Satisfaction Problem). Our proposed contribution is based on the requirements of inter-organisational workflows, in particular, the autonomy of the participating organisations and the respect of their privacy. A prototype of RPMInter-Work is implemented using JADE (Java Agent DEvelopment) platform and some evaluation results of this prototype are exposed in this paper.

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In this paper, we would like to assess the positive impact of the recommendation process during the professional activities of business actors. We are interested specifically in the improvement of the economic life of the handicraft women from emerging countries. To this end, we introduce a utility based recommender dealing with the procurement opportunities. Actually, we proposed a utility function which takes into account the weighted preferences and expectations of final users. The system is evaluated based on the gain to obtain if the proposed recommendations are adopted in addition to the satisfaction level of the final users.

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In this paper, we present a semantic Web architecture of a competency-based lifelong learning support system which falls within the scope of lifelong learning and attempts to deal with the issue of competency tracking, management, and development in learning networks. In particular, the proposed system aims to track learners’ competencies in learning networks and to provide them with different competency assessment procedures, such as learner positioning, competency gap analysis, and competency profile matching. In addition, it integrates a personalized learning path generator module that enables learners fill the gap between available and expected competencies. This system is currently under construction and will include semantic Web services capabilities for supporting automatic matchmaking tasks.

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In technology-enhanced learning, semantic annotations have been employed to attach semantic metadata to learning materials in order to significantly enhance their accessibility by human users and machines as well. In this paper, we present an ontology-based multi-level semantic representation model that aims to enrich the description of learning objects with semantics regarding their subjects, competencies and instructional roles. More specifically, the proposed model uses three ontologies: a subject domain ontology describing the domain concepts and the relations that are covered by the subject matter being taught, a competency ontology describing the competency-related characteristics of learners and learning resources, and an instructional role ontology specifying the instructional role(s) a learning object can play in an instructional setting. To demonstrate the feasibility of our model, an illustrative example is given that explains how learning object semantics can be represented with different granularities.

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Recommending personalized events from the huge amount of information on the social web is a challenging problem. Besides, dealing with such recommendation improves significantly the professional communities activities. Likewise, it helps them to make appropriate decisions while saving time and efforts. In this paper, we propose a hybrid recommender system which suggests suitable events to the HanDicraft Women (HDWs) from Tunisia and Algeria. The established system considers the final user needs and demographic attributes. Indeed, it combines the knowledge-based and demographic approaches together. Useful information related to the HDWs and available events are represented through a semantic formalization : Friend Of A Friend (FOAF) Ontoloy and Online presence Ontology (OPO). Moreover, the recommender is able to manage the dynamicity and heterogeneity of the HDWs environments since it is based on a multi-agent architecture.

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The online supply requirement management within a heterogonous environment represents a real challenge. While the traditional e-purchase is widely adopted, the e-barter seems to be an ambitious alternative. It is mainly solicited when suppliers might be unavailable or the delivery timeouts are important. Moreover, it reinforces the communication between the producer and his professional network. In this paper, we propose an emulation of the handicraft women e-procurement process based on the power of multi-agent paradigm and ontology formalism. Indeed, we establish an e-barter framework which targets to recommend in real time, under different circumstances and regarding the handicraft woman situation the suitable exchange partners. Likewise, we established several producing rules in order to deduce automatically the best sourcing moment. Furthermore, the handicraft woman which is the decision maker might drive an e-barter auction (e-BA) process in order to choose the best exchange opportunities and then minimize her expenses. We consider the e-BA as a new concept merging the barter and auction notions.

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Suitable suppliers’ recommendation forms the basis for a successful procurement process. An automated personalization of procurement opportunities relies on the buyer and the seller profiles consistency. However, dealing with their profiles matching is not a trivial task. In fact, each contextual detail may play a crucial role in the decision making procedure especially when final users express very specific and variable needs in a heterogeneous and inconstant environment. In this paper, we designed and developed a multi agent system (MAS) for the supply chain automatization. It includes two supplier selection levels followed by a negotiation module relying on the handicraft woman online situation. Several handicraft business ontologies in addition to multi-side profile ontology are developed in order to drive the agent communication with the internal and external environment.

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En vue de s’approvisionner, les femmes artisanes brodeuses font face à divers problèmes. Disposer d’une vue globale portant sur les fournisseurs adaptés, les meilleures opportunités d’approvisionnement, ainsi que la gestion de rupture des stocks représentent un réel défit pour elles. Face à ces problèmes, les systèmes de recommandation ont montré leur performance en matière de personnalisation des connaissances accordées aux professionnels. Dans ce sens, nous proposons un prototype d’un système suggérant les fournisseurs de confiance les mieux adaptés par rapport au profil de la femme artisane en s’appuyant sur trois niveaux de sélection, suivis d’une phase de négociation. Le prototype proposé se base sur une architecture multi-agents et se sert d’une ontologie métier modélisant le métier de la broderie ainsi qu’une ontologie de profil permettant de définir les profils des acteurs métier.

In order to procure, the handicraft women (embroideresses), face various issues. Having a global overview on the suitable suppliers, the best procurement opportunities and the inventory shortage management represent a real challenge for them. To deal with these issues, the recommender systems have shown their performance in terms of the personalization of the knowledge provided to the professionals. In this respect, we propose a prototype for a system suggesting the trustworthy and suitable suppliers according to the handicraft woman profile and relying on three selection levels, followed by a negotiation phase. The proposed prototype is based on a multi-agents architecture and uses a business ontology modeling the embroidery business as well as profile ontology for setting the business actors’ profiles.

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In the context of lifelong learning, learning networks are emerged as alternative and feasible integrated models that merge pedagogical, organizational, and technological perspectives to support and promote the provision of lifelong learning opportunities. Among the significant issues that arise when setting up a learning network is the question of how to support communication between repositories that employ different schemes for describing learner profiles. To guarantee correct interpretation, a semantic common metadata schema is required. This paper aims to propose an ontological structure for representing a learner profile that augments it with semantics and provides a common vocabulary for the exchange of the different learner's characteristics that can be presented in a learner model. The proposed structure is based on different learner information with respect to well-known learner model specifications. Besides, it reuses terms from well-developed Semantic Web vocabularies which make it semantic web compliant and integrates different domain taxonomies and subject taxonomies that are used as ranges for particular concepts' slots.

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With the emergence of the paradigm of Lifelong Learning and the proliferation of the terms "knowledge society", "citizen mobility", or "globalization", competency-based learning and training has known a growing interest in technology-enhanced learning as it provides important benefits for both individuals and organizations by supporting the transformation of learning outcomes into permanent and valuable knowledge assets. In this context, to promote the acquisition and continuous development of new competencies, learning networks have emerged that enables to support the provision of various lifelong learning opportunities. However, lifelong competency development still faces numerous challenges and research issues that need to be addressed, primarily the lack of consensus about a common representation of competencies and competency profiles. This paper analyzes different approaches reported in literature for competency modeling and proposes a competency ontology to formally describe competency-related characteristics of actors and learning resources in learning networks. The proposed ontology also aims to model aspects related to competency information management and tracking in order to support lifelong competency development in learning networks.

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For some years, competency-based learning and training has known a growing interest, especially in conjunction with proliferation of the terms "knowledge society", "citizen mobility", or "globalization". Competency modeling becomes an important concept in many domains, especially in human resource development and e-Learning. In this paper, we present a review of relevant competency metadata standards and some ontology-based approaches for competency modeling.