在某些情况下可能不需要调和(比如模型已经是一致的了,或者你只想检查模型的一致性而不想改变它们)。
In some cases, reconciliation may not be needed (when the models are already consistent, or if you only want to check the consistency of models without changing them).
学习对象也经历了自身的标准纷争,但大部分研究已经逐渐走向协调和一致。
Learning objects have gone through their own profusion of standards, but a good deal of effort has gone into coordination and coherence.
语义互操作性的范围越大,其成果的长远可重用性会越高,但是也更加难以协调和达成一致。
The bigger the circle of semantic interoperability is, the more reusable the result will be in the long run, but also more difficult to coordinate and reach consensus.
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