Probability KnowledgePopularly known as social sciences, behavioral sciences. |
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Computerized and web-based tools/ environment to gather quality data. |
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Spider ExperimentTo experience what is different thinking: A problem solving more than a game playing. |
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Specifications:
中文版
Interdisciplinary research in Knowledge Management with the development of 'Probability Knowledge' and the applications of Information Systems.
There are two approaches to explain the practice of KM. The first put KM as a design of process and environment to answer specific questions, especially in behavioral questions and probability knowledge. The second advocated KM as the new field look on information systems, decision support systems, even data management and the use of the internet while others considered it a combination of recycled concepts.
The four elements involved in KM are Organization, People, Process and Technology.
Purple Woo
The alias of this site is Purple Woo. Woo means 'cove' in Chinese. Purple Bamboo Woo is where the Goddess of Wisdom Guan Shih Ying lives. She knows the methodology that solves human being's sufferings.
Woo, in current English, also means a cyber community for who share a specific interest.
Knowledge Management & Information Systems
The construction of KM consisting of five processes: The first is to create a setting for sharing knowledge. Access to knowledge breeds more knowledge, and the best KM techniques ensure that every detail's involved and without geographic boundaries. The second is to eliminate communication filters by allowing people to skip technical levels—which leads to more ideas on how to do things better. The third is to prioritize the tasks. A prioritization process can align brainpower and effort behind what's truly strategic. Project leaders get together to rank all vital activities first to last, no ties allowed. The process lets people share knowledge about what is being accomplished, and break down the departmental barriers that bottle up ideas and creativity. The fourth is to keep efficiency. Effective KM helps people to save time and expense. The last is to solve questions for a specific domain.
The realization of KM is to provide a total solution of decision support (DS) environment via the internet. The point of departure is the observation that yesterday's data are today's information, which will become tomorrow's knowledge, and knowledge, in turn, recycles down the value chain back into information and into data. KM articulates the basic terms of this perpetual process. The proposed model defines operations and transformations of data-to-information, information-to-knowledge, and their reverse order. Such transformations correspond to a time dimension of past-present-future and resemble the process of abstraction.
Sine most of current efforts in KM are in knowledge sharing and knowledge information systems already, this web community will emphasize the development in 'knowledge methodology' and the logic to produce the probability knowledge.
