Information and knowledge are important prerequisites for innovation activity in firms. One important means of acquiring complementary knowledge are innovation networks. Depending on their absorptive capacity and knowledge base, firms develop different abilities to access and utilise external knowledge. These abilities might also be linked to firm size. Although size as such is not a decisive c...

This research is concerned with the Study and Analysis of Knowledge Acquisition Techniques, detailed study on Product Functionality, comparison of various Knowledge Acquisition Techniques and to select a Knowledge Acquisition Method for Acquiring Knowledge on Product Functionality efficiently. This study investigates the efficiency of the various knowledge acquisition techniques in product func...

Population ageing is a phenomenon that is quite new and irreversible in the history of mankind. Every country, every organisation (public, private, international etc.) is concerned. It is not certain that all the risks and challenges have been clearly identified. Clearly, there is a risk of massive knowledge loss (" Knowledge Crash "), (due, for instance, to massive retirements, but not exclusi...

In recent years the term knowledge management has been used to describe the efforts of organisations to capture, store, and deploy knowledge. Most current knowledge management activities rely on database and web technology; currently, few organisations have a systematic process for capturing knowledge, as distinct from data. The paper presents a case study in which knowledge engineering practic...

Machine learning and knowledge acquisition from experts have distinct and apparently complementary knowledge acquisition capabilities. This study demonstrates that the integration of these approaches can both improve the accuracy of the knowledge base that is developed and reduce the time taken to develop it. The system studied, called The Knowledge Factory is distinguished by the manner in whi...

We develop a new methodology and tool for knowledge acquisition under uncertainty. A new knowledge representation called Bayesian Knowledge Bases provides a powerful key to our approach and is well-grounded in probability theory. In this paper, we demonstrate the ease and flexibility with which knowledge acquisition can be accomplished while ensuring the consistency of the knowledge base as dat...

Abstract—Healthcare safety has been perceived important. It is essential to prevent troubles in healthcare processes for healthcare safety. Trouble prevention is based on trouble prediction using accumulated knowledge on processes, troubles, and countermeasures. However, information on troubles has not been accumulated in hospitals in the appropriate structure, and it has not been utilized effe...