Knowledge Management Using MODEL-ECS (original) (raw)

Knowledge engineering: Principles and methods

Data & Knowledge Engineering, 1998

This paper gives an overview about the development of the field of Knowledge Engineering over the last 15 years. We discuss the paradigm shift from a transfer view to a modeling view and describe two approaches which considerably shaped research in Knowledge Engineering: Role-limiting Methods and Generic Tasks. To illustrate various concepts and methods which evolved in the last years we describe three modeling frameworks: CommonKADS, MIKE, and PROTÉGÉ-II. This description is supplemented by discussing some important methodological developments in more detail: specification languages for knowledge-based systems, problem-solving methods, and ontologies. We conclude with outlining the relationship of Knowledge Engineering to Software Engineering, Information Integration and Knowledge Management.

Enterprise ontologies and knowledge management

Proceedings of the 7th …, 2001

This paper analyses the contribution to knowledge management of an enterprise reference architecture and enterprise ontologies constructed in accordance with it.

Ontological Model Development Work Process

Indigenous Knowledge (IK) has known to be long exist and used by the local people in certain environments in making their living. This knowledgeis vital and crucial for the sustainability and the existence of a society and therefore need to be preserved from extinction. Currently, most knowledge organization models are static and difficult to be managed in a dynamic environment. To develop a dynamic and comprehensive ontological model through a heuristic and hybrid method thatcombine taxonomy and Semantic web technology requires a structured work process. For this purpose, a work process for ontological model development is constructed. The development of the work process could be used as a reference point by organizations towards nurturing a knowledge society which is important to our socioeconomic. In the future, the ontological model development work process could be replicated for other domain's use particularly for knowledge preservation.

An approach to manage Knowledge based on multi-agents System using a 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.

An organisational memory information system using ontologies

… of the 3rd Conference of the …, 2002

In the recent years, much has been said about ontologies and their applications in different research fields. The ontological discipline emerged from artificial intelligence as a form of knowledge representation that would minimise the problems of knowledge sharing and reuse between people and between software. Apart from the view that portrays an ontology as a syntactic and semantic standardisation of knowledge structures, other approaches apply this discipline as a means to represent informal and semi-formal data structures. This paper presents ontologies as a design approach to represent organisational knowledge and ultimately to create an Organisational Memory Information System. This approach acknowledges the dynamics of the organizational environments, wherein the traditional design of information systems does not cope adequately with these organizational aspects. Knowledge management practices within the organizations, and the role of domain modelling with ontologies are also discussed in this paper.

A UML profile for conceptual modelling of knowledge-based systems

… OF YORK DEPARTMENT OF COMPUTER SCIENCE- …, 2006

Knowledge management is fast becoming a commercial necessity for many organisations, in order that they manage their intellectual assets and gain competitive advantage. Most knowledge resides in human memories and managing it is seen as a human-oriented process rather than a technology-based solution. Nevertheless, technology can be utilised as a knowledge management enabler with automated tools such as knowledge-based systems that are used to capture and manage knowledge. These systems are designed and developed using knowledge engineering techniques that are similar to those used in software engineering, but have more emphasis on the role of knowledge in the reasoning process. Research gaps 1.5. Research question 1.6. Research objectives 1.7. Scope 20 1.8. Research strategy 1.9. Contributions 22 8.2. Research contributions 8.2.1. Integrating the knowledge modelling profile into MDA space 8.2.2. A systematic approach for modelling and designing KBS 8.2.3. Provides transparency between knowledge models and code 8.2.4. Elicit better understanding of how to develop a profile 8.3. Limitation 8.3.1. Limited to rule-based system 8.3.2. Profile mapping 8.4. Future work 8.4.1. Modelling other types of KBS 8.4.2. Automated code generation from the profile 8.4.3. Integrating KBS profile and ontology 8.

An Ontology-Based Solution for Knowledge Management and eLearning Integration

Lecture Notes in Computer Science, 2006

Shared understanding is the holy grail of human effective communication and teamwork, but it is also the solution to the problem of machine understanding and programs interoperability. The need of a common framework is even more acute in modern organizations, where knowledge management and competence development become impossible to circumvent. In this paper, we introduce our solution to manage organizational knowledge through the creation and management of an ontology-based Organizational Memory (OM). We also explain how an Intelligent Tutoring System (ITS) can benefit from this OM in order to provide a just-in time, just enough learning solution to the organization's members.