نتایج جستجو برای: knowledge acquiring
تعداد نتایج: 579203 فیلتر نتایج به سال:
The field of Business Process Re-Engineering (BPR) aimed at enabling the large scale re-design of processes within organisations. BPR initiatives are by nature highly knowledge intensive activities. In this paper we argue that the knowledge based nature of BPR has not previously received sufficient recognition. We explain how BPR initiatives can be assisted through the use of techniques and too...
This paper defines and validates a solution to support organizational learning through the interactive evolution of organizational knowledge. The approach includes mechanisms to acquire the experiences of individuals working in different teams and environments, combine them with the existing company’s knowledge assets, and disseminate the evolved knowledge to all the project teams. This solutio...
There is a need for software that supports learners in actively dealing with theoretical concepts by having them créate models and perform concept prediction and explanation (e.g. [3,4,5]). DynaLearn seeks to address this by developing a domain independent Interactive Learning Environment (ILE) based on Qualitative Reasoning (QR) [1]. The QR vocabulary fits the nature of conceptual knowledge, a...
The problem addressed in this paper is how to enable a computer system to acquire facts about new domains from tutors who are experts in their respective fields, but who have little or no training in computer science. The information to be acquired is that needed to support questionanswering activities. The basic acquisition approach is "learning by being told." We have been especially interest...
The lack of adequate bases of commonsense or even lexical knowledge is perhaps the main obstacle to the development of highperformance, robust tools for semantic interpretation. It is also generally accepted that, notwithstanding the increasing availability in recent years of substantial hand-coded lexical resources such as WordNet and EuroWordNet, addressing the commonsense knowledge bottlenec...
Asynchronous text-based communication has long been established as having value in supporting the collaborative sharing of knowledge. However, in cases where learners or practitioners are seeking to acquire skills applicable in real-world working contexts, this kind of technology proves to be insufficient. Asynchronous multimedia conferencing seems both suitable and sufficient for supporting su...
Applications are increasingly expected to make smart decisions based on what humans consider basic commonsense. An often overlooked but essential form of commonsense involves comparisons, e.g. the fact that bears are typically more dangerous than dogs, that tables are heavier than chairs, or that ice is colder than water. In this paper, we first rely on open information extraction methods to ob...
The ability of case-based reasoning (CBR) systems to apply cases to novel situations depends on their case adaptation knowledge. However, endowing CBR systems with adequate adaptation knowledge has proven to be a very diicult task. This paper describes a hybrid method for performing case adaptation, using a combination of rule-based and case-based reasoning. It shows how this approach provides ...
In this paper, based on the work in , we further give a general model for acquiring knowledge, which first focuses on the research of how and when things involved in problems are made then describes the goals, the energy and the time to give an optimum model to decide how many related things are supposed to be involved in. Finally, we acquire knowledge from this model in which there are the att...
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