CAJ | 학술논문

本体不一致性问题是语义网络研究中的关键技术之一.基于DAG图的局部诊断方法在传统的模型诊断基础上,采用经典逻辑进行描述,这种方法在构造性知识描述领域中得到大量应用.无辜诊断方法对局部诊断方法进行了改进,可进一步提高局部诊断方法的求解效率.在此基础上,对DAG图表示进行了扩展,提出了一种基于E_DAG的本体不一致性处理的表示方法及其相应实现算法,并通过动物本体实例说明了此方法的工作原理.
본체불일치성문제시어의망락연구중적관건기술지일.기우DAG도적국부진단방법재전통적모형진단기출상,채용경전라집진행묘술,저충방법재구조성지식묘술영역중득도대량응용.무고진단방법대국부진단방법진행료개진,가진일보제고국부진단방법적구해효솔.재차기출상,대DAG도표시진행료확전,제출료일충기우E_DAG적본체불일치성처리적표시방법급기상응실현산법,병통과동물본체실례설명료차방법적공작원리.
Ontology inconsistent problem is one of the key technologies on semantic web.Based on model diagnosis,local diagnosis technology algorithm on E_DAG decribed with classical logic has been widely used in the domain of constructive knowledge description.lnnocent diagnosis has improved local diagnosis to obtain more effective result.On the basis of innocent diagnosis,this paper presents an E_DAG representation and its corresponding algorithm,which extends DAG to solve ontology inconsistent problem.An animal ontology example is given to demonstrate the working principle of the E_DAG diagnosis algorithm.