Knowledge formalization in experience feedback processes : an ontology-based approach

Because of the current trend of integration and interoperability of industrial systems, their size and complexity continue to grow making it more difficult to analyze, to understand and to solve the problems that happen in their organizations. Continuous improvement methodologies are powerful tools in order to understand and to solve problems, to control the effects of changes and finally to capitalize knowledge about changes and improvements. These tools involve suitably represent knowledge relating to the concerned system. Consequently, knowledge management (KM) is an increasingly important source of competitive advantage for organizations. Particularly, the capitalization and sharing of knowledge resulting from experience feedback are elements which play an essential role in the continuous improvement of industrial activities. In this paper, the contribution deals with semantic interoperability and relates to the structuring and the formalization of an experience feedback (EF) process aiming at transforming information or understanding gained by experience into explicit knowledge. The reuse of such knowledge has proved to have significant impact on achieving themissions of companies. However, the means of describing the knowledge objects of an experience generally remain informal. Based on an experience feedback process model and conceptual graphs, this paper takes domain ontology as a framework for the clarification of explicit knowledge and know-how, the aim of which is to get lessons learned descriptions that are significant, correct and applicable

An ontology for the description of and navigation through philosophical resources

What does it mean for a student to come to an understanding of a philosophical standpoint and can the explosion of resources now available on the web support this process, or is it inclined instead to create more confusion? We believe that a possible answer to the problem of finding a means through the morass of information on the web to the philosophical insights it conceals and can be made to reveal lies in the process of narrative pathway generation. That is, the active linking of resources into a learning path that contextualizes them with respect to one another. This result can be achieved only if the content of the resources is indexed, not just their status as a text document, an image or a video. To this aim, we propose a formal conceptualization of the domain of philosophy, an ontology that would allow the categorization of resources according to a series of pre-agreed content descriptors. Within an e-learning scenario, a teacher could use a tool comprising such an ontology to annotate at various levels of granularity available philosophical materials, and let the students explore this semantic space in an unsupervised manner, according to pre-defined narrative pathways

How Controlled English can Improve Semantic Wikis

The motivation of semantic wikis is to make acquisition, maintenance, and mining of formal knowledge simpler, faster, and more flexible. However, most existing semantic wikis have a very technical interface and are restricted to a relatively low level of expressivity. In this paper, we explain how AceWiki uses controlled English - concretely Attempto Controlled English (ACE) - to provide a natural and intuitive interface while supporting a high degree of expressivity. We introduce recent improvements of the AceWiki system and user studies that indicate that AceWiki is usable and useful