Revision and acquisition of history knowledge based on multiple text knowledge sources

Knowledge acquisition is the key step in knowledge engineering, and acquiring professional knowledge from texts is an important and commonly used way. However, different texts have different description on the same object. In order to acquire complete knowledge of high-precise and fine-grained, this paper provides a method for acquiring history knowledge from multiple texts knowledge sources, which can be described as follows: automatically translating history knowledge into frames; inconsistency detection and revision, and merging related frames. The experimental results show that this method is feasible and effective. It can acquire high-precise and fine-grained history knowledge, and lay important basis for knowledge service.