This is an eGISE network paper. It is motivated by a concern to develop a better approach to learning from the experience of an eGovernment project and applying that knowledge in future projects. The proposed project is based on previous work in the construction industry that developed COLA, a Cross Organisational Learning Approach. Developing a similar strategy for Knowledge Management is like...

Organizations have increasingly recognized the importance of managing customer relationships, and Knowledge Management (KM) from the perspective of a process approaches assure positive impact on customer retention. Many organizations are turning to Customer Relationship Management (CRM) to better serve customers and facilitate closer relationships. This paper investigates how Knowledge Process ...

1 Tzai-Fu Cheng, Chang Jung University, 396, Section 1, Chang-Jung Road, Kway Jen, Tainan 711, Taiwan [email protected] 2 I-Huei Ho, Chang Jung University [email protected] 3 Chieh-Yu Lin, Chang Jung University [email protected] Abstract Recently, the government in Taiwan proposed a knowledge-based economic policy to reinforce the competence of Taiwan's industries in the 21st cent...

Knowledge, in combination with pragmatic, cultural, organisational and conceptual factors, determines the performance of practitioners such as police, local government community safety officers and product designers. This paper addresses the serious and widespread obstacles to the transfer and application of knowledge generated by professional criminological research, development and evaluation...

We present an Interactive Constraint Satisfaction model for problems where knowledge is not completely deened at the beginning of the computation , but can be interactively acquired during the computational process. In this case, domains can be partially deened when the constraint satisfaction process starts. Thus, domains are dynamically deened in contrast with classical CSPs where domains are...

We present an efficient method for inferring facts from a propositional knowledge base, which is not required to be in conjunctive normal form. This logically-incomplete method, called propositional fact propagation, is more powerful and efficient than some forms of boolean constraint propagation. Hence, it can be used for tractable deductive reasoning in many AI applications, including various...

We illustrate the typical life cycle of a fuzzy knowledge-based model, from its development, testing, optimization, and deployment, through the maintenance of its knowledge base. After a brief review of related work on a static problem, the underwriting of insurance applications, we focus on the design, implementation, and updating of a Fuzzy Instance-based Model (FIM) for prediction and classi...

Taking advantage of the continuously improving, web-based learning systems plays an important role for self-learning, especially in the case of working people. Nevertheless, learning systems do not generally adapt to learners’ profiles. Learners have to spend a lot of time before reaching the learning goal that is compatible with their knowledge background. To overcome such difficulties, an e-l...