An Ontology-based Knowledge Management System for Industry Clusters

Knowledge-based economy forces companies in the nation to group together as a cluster in order to maintain their competitiveness in the world market. The cluster development relies on two key success factors which are knowledge sharing and collaboration between the actors in the cluster. Thus, our study tries to propose knowledge management system to support knowledge management activities within the cluster. To achieve the objectives of this study, ontology takes a very important role in knowledge management process in various ways; such as building reusable and faster knowledge-bases, better way for representing the knowledge explicitly. However, creating and representing ontology create difficulties to organization due to the ambiguity and unstructured of source of knowledge. Therefore, the objectives of this paper are to propose the methodology to create and represent ontology for the organization development by using knowledge engineering approach. The handicraft cluster in Thailand is used as a case study to illustrate our proposed methodology.Ontology, Knowledge Management System, Industry Clusters

A PLM/KMS integration for Sustainable Reverse Logistics

International audienceThe international competitive market causes the increasing of shorten product life cycle and product development process with the improvement in term of time, cost and quality while increasing the waste generation. To reduce the waste generation, companies follow the environmental legislation and focus more and more on the product lifecycle sustainability. Sustainability on product lifecycle encourages in reducing wastes, saving resources and energy, reusing product and its component and avoiding of usage hazardous substances as well. Therefore, this research work is aimed to establish a Knowledge Management System (KMS) based on a multi-agent system in order to manage sustainability knowledge related to environmental security and performance through the link between Agents' knowledge base and Product Lifecycle Management (PLM) system. It will help the decision makers in each stage of the lifecycle and make them take into account the environmental impacts of their decisions. The proposed architecture will be illustrated on an industrial case study

Towards ontology based BPMN Implementation.

International audienceNatural language is understandable by human and not machine. None technical persons can only use natural language to specify their business requirements. However, the current version of Business process management and notation (BPMN) tools do not allow business analysts to implement their business processes without having technical skills. BPMN tool is a tool that allows users to design and implement the business processes by connecting different business tasks and rules together. The tools do not provide automatic implementation of business tasks from users' specifications in natural language (NL). Therefore, this research aims to propose a framework to automatically implement the business processes that are expressed in NL requirements. Ontology is used as a mechanism to solve this problem by comparing between users' requirements and web services' descriptions. Web service is a software module that performs a specific task and ontology is a concept that defines the relationships between different terms