Multi-agent Web Texts Mining Based on Galois Lattice
In the face of immense Web texts of WWW,how to extract valuable knowledge from the Internet is a difficult problem. The paper presents a model of multi-agent Web texts Mining,based on Galois Lattice. In preprocessing agent and constructing Galois Lattice agent,Web texts model is denoted by feature set The relationship between non-structured Web texts and their keywords are represented by Galois Lattice. In knowledge extracting agent,the constructed can effectively extract potential valuable knowledge front Web texts. The paper proposes representing Web text model with feature set,which can be used to construct formal context of Galois Lattice. As Web texts update frequently,the paper applies an incremental algorithm to construct the Galois Lattice. Finally,the experiment proves that the use of Galois Lattices for Web texts mining is feasible.
knowledge extracting Web texts Mining multiagent Galois Lattice
Yu Bo Zhang Nan Yao Dengju Tang Guangyi
Software College,Harbin University of Science and Technology,Harbin 150040,China College of Information Technology,Heilongjiang Bayi Agricultural University,Daqing 163319,China
国际会议
南宁
英文
335-339
2010-12-10（万方平台首次上网日期，不代表论文的发表时间）