The Model of Knowledge Base Quality Control with Assessment
作者： Valeriya Gribova , Elena Shalfeeva
DOI: 10.1109/SIBIRCON48586.2019.8958297
关键词: Knowledge-based systems 、 Quality (business) 、 Artificial intelligence 、 Control (management) 、 Medical diagnostic 、 Order (business) 、 Knowledge base 、 Knowledge quality 、 Machine learning 、 Computer science 、 Software system
摘要: Software systems that support formalized knowledge-based decision-making require control of knowledge to ensure their quality. In order improve and keep it up date, is proposed use many practical tasks when correct solutions become known. Among them will be those for which only an inaccurate solution or even incorrect could obtained using the base. Using these precedents base should retrained. The method improvement based on such has been considered. algorithm demonstrated example correction temporal KB medical diagnostics.
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