Knowledge Representation Methods in Crop Pest Expert Systems Authors: Zhang Manna, Zhang Wu, Jin Xiu, Zhu Cheng, Song Yifan, Hong Xun, Li Mengjie (College of Information and Computer, Anhui Agricultural University, Hefei, Anhui 230036) Abstract The effectiveness of knowledge representation and reasoning methods for crop pests is the foundation for accurate decision-making in crop pest … Read more
“Knowledge is the driving force of artificial intelligence.” Knowledge engineering aims to study machine representation and computation of human knowledge, making it an important branch of artificial intelligence. Knowledge engineering was first proposed by Turing Award winner Feigenbaum at the 5th International Conference on Artificial Intelligence in 1977, but related research can be traced back … Read more
Expert Systems are knowledge-based intelligent reasoning systems that involve research into knowledge acquisition, knowledge bases, reasoning control mechanisms, and intelligent human-computer interfaces. They integrate artificial intelligence and domain knowledge, marking a milestone as expert systems have rapidly developed and been widely applied in various fields, significantly advancing the trend towards intelligence in practical applications. Expert … Read more
Introduction: The main technologies of knowledge graphs include knowledge acquisition, knowledge representation, knowledge storage, knowledge modeling, knowledge fusion, knowledge understanding, and knowledge maintenance. The main technologies of knowledge graphs include knowledge acquisition, knowledge representation, knowledge storage, knowledge modeling, knowledge fusion, knowledge understanding, and knowledge maintenance. These seven aspects support the construction of knowledge graphs from … Read more