CAJ | 학술논문

利用粗糙集及条件信息熵的相关理论，针对基于相似度计算的本体映射方法在相似度融合时权重过分依赖专家参与等问题，给出一种自动确定权重的策略，并通过实例验证了该方法的可行性。该方法充分考虑在信息量不确定情况下，用各属性对系统信息熵的影响程度确定各属性在当前信息系统中所占的权重，从而使本体的自动化映射和语义网的实时服务成为可能。
이용조조집급조건신식적적상관이론，침대기우상사도계산적본체영사방법재상사도융합시권중과분의뢰전가삼여등문제，급출일충자동학정권중적책략，병통과실례험증료해방법적가행성。해방법충분고필재신식량불학정정황하，용각속성대계통신식적적영향정도학정각속성재당전신식계통중소점적권중，종이사본체적자동화영사화어의망적실시복무성위가능。
Using the theory of rough set and conditional information entropy,we presented a strategy to automatically determine the weight in connection with determining weight in integrated similarity calculation relying too heavily on domain experts in the ontology mapping method based on similarity calculation.In full consideration of uncertain information using the influence degree of each attribute on the system information entropy to determine each attribute’s weight in the current information system made the automatic mapping of ontology and semantic network real-time services possible.At last,the feasibility of this method was verified by examples.