CASSIOPEIA: A Model Based on Summarization and Clusterization used for Knowledge Discovery in Teztual Bases

摘要：

This work proposes the creation of a model called Cassiopeia, whose aim is to allow for knowledge discovery in textual bases in distinct and/or antagonic domains by using a process of summarization and clusterization to obtain these pieces of knowledge. By proposing the Cassiopeia model, we hope to obtain a better cohesion of the clusters and to make feasible the issue of high dimensionality in knowledge discovery in textual bases.

关键词： Tezt mining Knowledge Discovery Summarization and Clusterization

作者: Marcus V. C. Guelpeli António Horta Branco Ana Cristina B. Garcia Dept.

作者单位: Dept. de Ci(e)ncia da Computa(ca)o Universidade Federal Fluminense - UFF, Brasil de Informática da Faculdade de Ciências da Universidade de Lisboa,UL, Portugal de Ci(e)ncia da Computa(ca)o Universidade Federal Fluminense - UFF, Brasil

会议类型: 国际会议

会议名称: International Conference on Natural Language Processing and Knowledge Engineering(IEEE自然语言处理与知识工程国际会议 IEEE NLP-KE 2009)

会议地点: 大连

会议语种:英文

页码: 1-8

在线出版日期: 2009-09-24（万方平台首次上网日期，不代表论文的发表时间）