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Concept Lattice Construction Algorithm and Application Based on the Ontology

Author: WangShaoZuo
Tutor: TianHong
School: Dalian Jiaotong University
Course: Applied Computer Technology
Keywords: Concept lattice Segmentation Statistical Learning Reduction Ontology model
CLC: TP391.1
Type: Master's thesis
Year: 2010
Downloads: 58
Quote: 0
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Abstract


Formal Concept Analysis (FCA) by Germany Wille Professor for later in 1982 , in recent years , has been widely used in software engineering , knowledge discovery , information retrieval . Core data structure - concept lattice of the formal concept analysis , it is through the Hasse diagram to show the hierarchical relationship between the concept of the concept lattice , the visualization of the conceptual structure of formal context ; With the development of the Semantic Web , ontologies in information retrieval , artificial intelligence and other fields has been studied extensively , there are certain similarities in the relationship between the concept contained in the body as well as concepts and concept lattice , the formal concept analysis is applied to the body can overcome some of the shortcomings of the body 's own . The content of this article is divided into two parts , the first part introduces the formal concept analysis of theoretical knowledge , analysis of the classic concept lattice construction algorithm , a new batch of concept lattice construction algorithm , a new batch and then verified by experiments the processing concept lattice construction algorithm accuracy and time efficiency ; second part of this new batch of concept lattice construction algorithm applied to the generation of ontology segmentation of text documents , statistical learning , the concept lattice of formal context , and then with a new batch of concept lattice construction algorithm concept lattice and its reduction , and finally get the model of the body of the class hierarchy .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
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