Distributed Case Based Reasoning Model with Semantic Intelligence
The objective of the work is to propose a case based reasoning (CBR) model with semantic intelligence for deciding a fine tuned solution from a number of distributed cases. A case model has been proposed to incorporate the needed data types and certificates through which the local or global authorities can reason out the solution. The n-tier model of reasoning can be performed using a case agency and broker components to file and adjudicate the results for the submitted cases. The machine learning is emphasized through iterative learning process with pre and post filters to fine tune the solution based on the context of the case. The semantic engineering is carried out to categorize the nature of the case in terms of basic informal constructs. An inherent hierarchy of the context is formed and based on the type and importance of the context, the scenario driven solution is identified by this proposed model. An airway passenger guidance system is considered to validate the model of case based reasoning with the help of decision tree technique.
case model case broker case agency semantic Intelligence distributed decision
Chandrasekaran Subramaniam Dhandayudhapani.V.D. Niveditha Narendhran Mohammed Nazim Feroz
Department of Information Technology Rajalakshmi Engineering College/Anna University Chennai, India Department of Computer Science and Engineering Sri Ramanujar Engineering College/Anna University Che Department of Computer Science and Engineering Rajalakshmi Engineering College/Anna University Chenn
国际会议
成都
英文
1681-1685
2010-12-17（万方平台首次上网日期，不代表论文的发表时间）