Collecting, distributing and sharing knowledge in a knowledge-explicit way is a significant task for any company. However, collecting decisional knowledge in the form of formal decision events as the fingerprints of a company is an utmost advance. Such decisional fingerprint is called decisional DNA. Set of experience knowledge structure can assist on accomplishing this purpose. In addition, On...

Current automatic sign language recognition (ASLR) seldom uses perceptual knowledge about the recognition of sign language. Using such knowledge can improve ASLR because it can give an indication which elements or phases of a sign are important for its meaning. Also, the current generation of data-driven ASLR methods has shortcomings which may not be solvable without the use of knowledge on hum...

The paper raises for discussion a proposal for the semi-automatic annotation of pronoun-antecedent pairs in corpora. The proposal is based on robust knowledge-poor pronoun resolution followed by post-editing. The paper is structured as follows. The introduction comments on the fact that automatic identification of referential links in corpora has lagged behind in comparison with similar lexical...

This paper is concerned with integrating knowledge-based modeling or modeling from first principles, with data-driven or automated modeling of dynamic systems. The approach presented here includes methods for equation discovery: unlike mainstream system identification methods, which work under the assumption that the form of the equations is known, equation discovery systems explore a space of ...

Calculating the process driven value of RFID investments is very difficult. From a company’s perspective it is important to understand the concrete contribution of an RFID system with regard to individual processes. The problem of profitability analyses in IS is that such technologies cannot be calculated as an economic standard investment. Hence, we propose a reference model as a generic knowl...

Introduction: Quality and knowledge-based human resources are the most important competitive advantage and the scarcest source in today's knowledge-based economy. Hence, the development of the capabilities, expertise, and commitment of well-trained employees is considered the most important management challenge in our time. The present study was conducted to investigate the role of Management S...