Introduction / overview
As we know, knowledge-based systems (KBS) and multimedia technology (MMT) have been widely used in many industries for years to solve complicated problems. This integration leads to intelligent multimedia, provides a powerful tool for expertise-intensive training. Knowledge-based systems (KBS) attempt to replicate or imitate the knowledge and reasoning processes of human experts on some specialized tasks. It represents perhaps the most matured and fruitful branch of artificial intelligence technologies. Because of their potential to enhance productivity and to augment workforces in many specialized areas where human experts are becoming increasingly difficult to find and retain. Extensive expertise and years of experience is needs in many tasks in construction demand. This training is hardly to be documented in the literature. This training is aim to demonstrate the feasibility and potential benefits of using intelligent multimedia for expertise-intensive training in construction. A KBS is the embodiment within a computer of a knowledge-based component from an expert skill in such a form that the system can offer intelligent advice or take an intelligent decision about a processing function.
A KBS consists of three components such as a knowledge base, an inference engine and a dynamic store holding temporary data. A knowledge base which contains expertise and knowledge about a specific subject domain, represented explicitly in forms of such as facts and rules. An inference engine which uses one or more reasoning mechanism, such as backward and forward chaining to utilize the knowledge. A dynamic store holding temporary data which can explain the reasoning process and the rule used.
Multimedia technology presents information with text, illustrations, photos, narration, sounds, animations, and videos, which has the most successful application in education and training. Multimedia is widely regarded as a value-added...