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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...
Fixture design is a complex and intelligent process, which demands professional knowledge and experience from the exports and designer. For a given work piece, the design solution space is large. With the development of artificial intelligence, there are increasingly methods to solve the problem of selection of optimal fixture design scheme, such as CBE. In the paper, the intelligent algorithms of...
Both expert system and data mining belong to the Artificial Intelligence fields. Association rule is a method of datamining, whose typical application is analyzing the shopping basket in supermarket. The main task of expert system is ratiocination, while that of association rule is to find out the valuable relationship between each data item. By modifying the apriori arithmetic and the method of the...
In the era of monumental development in all spheres of technology, the repository of huge amounts of raw data is but a necessity. Also with increasing availability of storage space, this factor is not a big problem. Hence instead of tackling issues related to reducing the amount of data to be stored, there is bigger need to implement the creation of a knowledge base and hence create semantic data...
Sem@ntica is a system for extracting the information contained in collections of documents into a knowledge base. It combines high quality conventional named entity analysis with an ontology class labeling capability for open class words. The ontology comprises an upper ontology and one or more domain ontologies. The system has tools for rapidly designing the ontology and mapping segments of Word...
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