Background knowledge is important for data mining, especially in complicated situation. Ontological engineering is the successor of knowledge engineering. The sharable knowledge bases built on ontology can be used to ...Background knowledge is important for data mining, especially in complicated situation. Ontological engineering is the successor of knowledge engineering. The sharable knowledge bases built on ontology can be used to provide background knowledge to direct the process of data mining. This paper gives a common introduction to the method and presents a practical analysis example using SVM (support vector machine) as the classifier. Gene Ontology and the accompanying annotations compose a big knowledge base, on which many researches have been carried out. Microarray dataset is the output of DNA chip. With the help of Gene Ontology we present a more elaborate analysis on microarray data than former researchers. The method can also be used in other fields with similar scenario.展开更多
As an open standard of data representation,XML breathes new energy to the Web application and the network computing.The development,advantage and status of XML and some standards relating to XML are reviewed.In additi...As an open standard of data representation,XML breathes new energy to the Web application and the network computing.The development,advantage and status of XML and some standards relating to XML are reviewed.In addition,the authors put forward a method representing logging data and using UML language to establish the conceptual and logical model of logging data;using a logging data,explain how to establish the model as well as how to use XML to display and process geology data.展开更多
基金Project (No. 20040248001) supported by the Ph.D. Programs Foun-dation of Ministry of Education of China
文摘Background knowledge is important for data mining, especially in complicated situation. Ontological engineering is the successor of knowledge engineering. The sharable knowledge bases built on ontology can be used to provide background knowledge to direct the process of data mining. This paper gives a common introduction to the method and presents a practical analysis example using SVM (support vector machine) as the classifier. Gene Ontology and the accompanying annotations compose a big knowledge base, on which many researches have been carried out. Microarray dataset is the output of DNA chip. With the help of Gene Ontology we present a more elaborate analysis on microarray data than former researchers. The method can also be used in other fields with similar scenario.
基金Supported by National Oil-gas Project:No XQ-2004-07
文摘As an open standard of data representation,XML breathes new energy to the Web application and the network computing.The development,advantage and status of XML and some standards relating to XML are reviewed.In addition,the authors put forward a method representing logging data and using UML language to establish the conceptual and logical model of logging data;using a logging data,explain how to establish the model as well as how to use XML to display and process geology data.
