A Knowledge Reasoning Model Based on Rough Set Theory

With the extensive use of computer and the rapid development of information technology, how to seek for useful knowledge from massive data becomes a difficult problem of knowledge service. According to knowledge reasoning of massive information, this paper adopts Rough Set Theory and proposes a knowledge reasoning model. The domain ontology is constructed, from whose properties the Rough Set decision table is extracted. The relationship of domain ontology is reduced through the decision table within the domain ontology knowledge base. Related property rules of domain knowledge are gained, and the knowledge acquisition is realized through the Rough Set knowledge reasoning algorithm. This knowledge reasoning model is finally testified by experiments.