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Huge amount of entities and theirs relationships are posted on the Web. Those entities and theirs relationship networks help many activities. In this paper, we focus on the task of extracting academic entity network from homepages. Homepages usually contain many entities, such as persons, conference/journal and organization and theirs relationship. However, homepages don't follow a unified layout...
This paper investigates the advantages of using web data to forecast white liquor market demand. The authors constructed the corresponding relationship between web information structure and white liquor market demand, explored the methods of using web data mining techniques to analyze and predict white liquor market demands, and established the principles of constructing knowledge base based on the...
This paper presents the development of a new Chinese organization system (Chinese scientific and technical vocabulary system). The system including knowledge base, management & construction tools, application interface. This paper presents the details of knowledge base from expanding relationships between terms, term attribute and syntactical functional structure type of compound words to concept...
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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