Distributed Knowledge Acquisition System for Software Design Problems
Nedhal A. Al-Saiyd, Adel Hamdan Mohammad, Intisar A. Al-Sayed
Abstract
Nedhal A. Al-Saiyd, Adel Hamdan Mohammad, Intisar A. Al-Sayed
Abstract
Knowledge plays an important role in designing intelligent systems especially in expert systems and knowledge-based systems in different application domains. Its efficiency and effectiveness depends on the Knowledge Acquisition (KA) phase. Acquiring experience knowledge and transferring it into a knowledge-based system is complex and involves a range of diverse activities. There are two key problems related to KA-the identification of domain knowledge expertise and the heuristics that are useful in problem solving; and the identification of people who can provide this knowledge. In this paper, an approach for Web-based knowledge acquisition system is presented for acquiring expertise from software designers. This knowledge is used in software design decision making and knowledge reasoning. The process and decision laddering techniques are involved with the concept mapping to create and evaluate the knowledge as efficient and effective as possible.
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Knowledge plays an important role in designing intelligent systems especially in expert systems and knowledge-based systems in different application domains. Its efficiency and effectiveness depends on the Knowledge Acquisition (KA) phase. Acquiring experience knowledge and transferring it into a knowledge-based system is complex and involves a range of diverse activities. There are two key problems related to KA-the identification of domain knowledge expertise and the heuristics that are useful in problem solving; and the identification of people who can provide this knowledge. In this paper, an approach for Web-based knowledge acquisition system is presented for acquiring expertise from software designers. This knowledge is used in software design decision making and knowledge reasoning. The process and decision laddering techniques are involved with the concept mapping to create and evaluate the knowledge as efficient and effective as possible.
Key concepts: Domain knowledge, Computer science, Knowledge acquisition, Knowledge-based systems, Open Knowledge Base Connectivity, Knowledge management, Knowledge engineering, Expert system