This document presents a theory for knowledge level reeection together with experimental results, proving that it is possible to design knowledge systems intended to build, verify or control other knowledge systems. Furthermore, this may be done in a very simple way and still produce surprisingly eecient results.

The cluster has shown its powerful competitive advantages in global competition. However, as amounts of industrial clusters have displayed their competence, some have lost their competitive advantages in global competition. It is meaningful for clusters’ development to cultivate their sustainable competence. This paper analyzes the sources of cluster competence. According this paper, the import...

More companies than ever before are turning to Mergers and Acquisition (M&As), at a pace that is not expected to abate any time soon. For many companies M&As represent the fastest possible route to growth. The acquiring companies seek to grow quickly by flowing more of the same products through new sales channels. For other companies, formally aligning oneself with another company makes it poss...

Knowledge Management is a field of increasing popularity, within both the academic arena and the business community. However, although there is an abundance of advice on how to develop and manipulate knowledge-based systems (particularly through the medium of web sites), there is still confusion within the Knowledge Management community of what actually constitutes knowledge (this often manifes...

Domain-oriented knowledge-acquisition tools provide e cient support for the design of knowledge-based systems. However, the cost of developing such tools is high, especially when their restricted scope is taken into account. Developers can use metalevel tools to generate domain-oriented knowledge-acquisition tools that are custom tailored for a small group of experts, with considerably less eff...

This paper examines experience and knowledge, experience management and knowledge management, and their interrelationships. It also proposes process perspectives for both experience management and knowledge management, which integrate experience processing and corresponding management, knowledge processing and corresponding management respectively. The proposed approach will facilitate research...

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Real-world applications often require the joint use of datadriven and knowledge-based models. While data-driven models are learned from available process data, knowledge-based models are able to provide additional information not contained in the data. In this contribution, we propose a method to divide the input space on the basis of the validity ranges of the knowledge-based models. By doing ...

Knowledge Acquisition (KA) Scripts capture typical modification sequences that users follow when they modify knowledge bases. KA tools can use these Scripts to guide users in making these modifications, ensuring that they follow all the ramifications of the change until it is completed. This paper describes our approach to design, develop, and organize a library of KA Scripts. We report the res...

This paper presents a context-based multi-dimensional corporate analysis method that evaluates companies based on user-specified contextual settings. The contextual settings are translated and decomposed into distinct spaces, finance, technology, and brand, each of which consists of a subspace containing multiple parameters. The contextual settings determine the relevance of each of such parame...