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In order to construct the knowledge base in the field of journalism, this paper improved the knowledge representation framework of Freebase to make it more suitable for the knowledge in journalism domain. On the basis, we chose to extract entities, entity attributes and relationships between entities from Baidu Encyclopedia websites in order to analyze its structure. According to the infobox, the...
Knowledge base building is a key branch of modern artificial intelligence research. Current methods in this field mainly focus on computational efficiency, decidability, data exchange, and machine readability. In this paper, a novel human like knowledge representation method called dynamic semantic network (DSN) is proposed. With the inspiration of high level human brain cognitive models, DSN aims...
Spatial data mining is a highly demanding field because very large amounts of spatial data have been collected in various applications, ranging from remote sensing (RS), to geographical information system (GIS), computer cartography, environmental assessment and planning, etc. Classification is a data mining technique where the data stored in a database is analyzed in order to find rules that describe...
Classification is a famous branch of machine learning. We have tried many ways to invent and improve algorithms to get better results from given data. However, few have been done on how to revise data to adapt machine learning. In this paper, the same classifiers are implemented on same object sets which are different in the granularity of classification to show different classification can make great...
Aiming at the problems take place in current intrusion detection systems, which are techniques lack of connection, and so on. The author propose a method that build the knowledge base used in intrusion detection based on entities-relations-problems knowledge representation system, and combine the self characters about e-government system, point out the methods of realization.
This paper firstly inquired the categories of knowledge on dam safety monitoring expert system and the knowledge acquisition process. Secondly, it not only analyzed knowledge representation about dam safety monitoring expert system, that is, factual knowledge, rule knowledge and procedure knowledge, but also established a simple knowledge base based on relational database for dam safety monitoring...
We present an expert system profile (EMIS) that serves as an information system for earthquake mitigation purpose. Knowledge-based systems, also called expert systems, are problem solving systems that use a knowledge base (KB) as one of their central components. Crucial phases for building an effective knowledge-base include data collection, knowledge acquisition and knowledge representation. In this...
To solve the limitations of intelligent fault diagnosis system, a new intelligent fault diagnosis method based on data mining is presented. After a brief discussion of the general structure of intelligent fault diagnosis system based on data mining (IFDSDM), the function of its subsystem is described, followed with the structure of knowledge base and the method of knowledge representation. IFDSDM...
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