Reusing knowledge by multi agent system and ontology

This paper presents a knowledge management experiment realized in an industrial company. Our research concerns the development of a knowledge engineering module integrated in a collaborative eGroupware system. This platform is used by engineers to realise their projects in a collaborative way and in following a defined professional process. The first step of our approach is based on the modelling of the professional process used by professional actor. We have developed a formalism called RIOCK (Role Interaction Organisation Competence and Knowledge) to identify the emanating Knowledge resulting from the interaction between the roles played by professional actors. According to the obtained cartography of Knowledge, we have defined a typology of Knowledge and built an ontology to create a representation language in order to share and broadcast Knowledge. In other hand, the RIOCK models allow us to design a knowledge engineering module based on a multi-agent system. This system monitors the action of the professional actors inside the eGroupware and capitalizes, annotates, and broadcasts Knowledge in using the semantic web technologies and the ontology.

Advanced Engineering Informatics, 2015

Knowledge-based engineering (KBE) approaches are designed to reduce the time and cost of product development by capturing, retaining and re-using design knowledge. They currently focus on repetitive design tasks where knowledge is considered as a static resource. However, knowledge is intrinsically linked to the organizations and people who use it. Thus, to be efficient, these knowledge-based systems (KBS) have to be able to take into account all the mechanisms of knowledge creation, sharing and evaluation made by the users. Using the agent paradigm, new knowledge-based systems can be designed in order to address this research issue. Indeed, the agents have social abilities and are able to achieve very complex tasks. These two features are necessary for making a knowledge-based system efficient. However, there still exists today a lack of approaches and methodologies to help design such applications. This paper presents DOCK, a methodology to design an intelligent knowledge-based system that aims to support the knowledge management process. In order to take into account all the mechanisms of knowledge generation, sharing and re-use, DOCK is based on the hypothesis that efficient modelling of human organizations, by highlighting their roles, collaborations, skills, goals and knowledge, will help the KBS designer to specify an adapted knowledge-based system. Finally, DOCK is implemented to design the SMA SNOTRA that is dedicated to supporting a decision-making process for design projects.

2004

The paper presents a knowledge-based approach for collaborative design using a task ontology and a multi-agent architecture. In an educational project, students from two different countries must collaborate to design an electro-mechanical device. Collaboration is a fragile question in pedagogical environments because students very often develop activities in an isolated way and there is no real exchange of knowledge. We offer a tool for improving the early stages of collaboration through a system that provides communication support for design or project management tasks. Agents use knowledge to guide users during the collaborative process. Our multi-agent system works in a passive way. Students are free to accept the suggestions/directions of the system or not. A personal assistant captures and shares personal knowledge (experiences) while cognitive autonomous agents use ontologies to guide the interactions among the students. Keywords: Knowledge Management, Ontology-based Project Management, Collaborative Design, Pedagogical Design Environment. · the Taxia project [14]: a hundred students from twelve engineering schools in France were assigned the prototype development of an industrial vehicle. · the CADAU project [11] [12]: two groups of students collaborate to design an electromechanical device. Each group works separately, one in the US and the other in France.

Communications in Computer and Information Science, 2011

The aim of this paper is to build an ontology of organizations. This ontology will be used to analyze, reason and understand organizations. The targeted organizations are those composed of individuals involved in the design of a product and, to do so, following a design process. This ontology will be used to support knowledge management within the described organizations. More specifically, the ontology will provide means for reasoning, annotating resources, monitoring design processes, enabling searches and proactively proposing tips and proper content. The presented approach is based upon the use of an existing organizational metamodel, namely CRIO, already used for the description of Multi-Agent Systems (MAS) organizations. In our case, the concepts of this metamodel are used to model human activities.

Expert Systems with Applications, 1998

Completion of complex engineering designs (e.g. the design of offshore oil platforms, ships, etc.) often involves a number of agents who have to share or reuse design models within a distributed environment. This paper presents a knowledge sharing workbench which enables agents to share common domain knowledge, based on the problems which emerge in the design process. The workbench includes Application Programming Interfaces provided by expert system shells, an Object Request Broker, and a number of ontologies to facilitate the construction of new knowledge-based systems. In addition, the distributed knowledge acquisition tools generated by the workbench can maintain model consistency between agents when specification changes occur in any of the agents. A case study from the petrochemical industry is used to illustrate the use of workbench for the integration of a number of agents. This case study demonstrates that a process flow knowledge model in an offshore petrochemical plant, designed for operational purposes (e.g. fault diagnosis), can be reused to form part of a new knowledge-based system which generates the data for plant layout design. ᭧

Communications on Applied Electronics, 2018

This paper deals with the representation of ontology-based knowledge and its use in multi-agent systems. Basing on topic interest and that knowledge has immense value in all kinds of businesses and in people's daily lives and also in the elearning field. The research presented in this paper aims to establish a stronger link between Knowledge Management Knowledge (KM) and Multi-Agent Systems (MAS), using ontology as tools. design and definition of knowledge and the semantic web as a space for production and reuse.

International Journal of …, 2007

Developing knowledge management systems is a complicated task since it is necessary to take into account how the knowledge is generated, how it can be distributed in order to reuse it, and other aspects related to the knowledge flows. On the other hand, many technical aspects should also be considered such as what knowledge representation or retrieval technique is going to be used. To find a balance between both aspects is important if we want to develop a successful system. However, developers often focus on technical aspects, giving less importance to knowledge issues. In order to avoid this, we have developed a model to help computer science engineers to develop these kinds of systems. In our proposal we first define a knowledge life cycle model that, according to literature and our experience, ponders all the stages that a knowledge management system should give support to. Later, we describe the technology (software agents) that we recommend to support the activities of each stage. The article explains why we consider that software agents are suitable for this end and how they can work in order to reach their goals. Moreover, a prototype that uses these agents is also described.

1 Knowledge management is widely recognized as a critical issue in any kind of organization. It has to do with structuring information, ensuring that it is available to all potential users, easily accessible, and presented in such a way that all data relevant to the requesting users are effectively returned in a reasonable amount of time. When dealing with such issues one technology that comes in handy consists of software agents. Agents are software components featuring some nice properties that prove quite helpful to perform routine tasks, which are normally carried out by human users.