Data Warehouse Design for Chinese Intelligent Question Answering System Based on Data Mining

Research on Application of Improved Text Cluster Algorithm in Intelligent QA System

“…The processing flow is: (1).Select k objects from n data objects at random as original cluster center ,and each object has its text feature expression ,set the original iterative number as 1.…”

Enrichment of the phenotypic and genotypic Data Warehouse analysis using Question Answering systems to facilitate the decision making process in cereal breeding programs

“…So far, many attempts to integrate a corporate DW of structured data with unstructured data have been reported (Badia, 2006;Henrich & Morgenroth, 2003;McCabe et al, 2000;Pérez-Martínez, 2007;Pérez-Martínez et al, 2008a, 2008bPérez-Martínez, Berlanga, & Aramburu, 2009;Priebe & Pernul, 2003a, 2003bQu et al, 2007;Rieger, Kleber, & von Maur, 2000). They are mainly based on systems that use Natural Language Processing (NLP) techniques to access the unstructured data in order to extract the relevant information of them but they do not reach a full integration of structured and unstructured data as our proposal manages.…”

“…With regard to work on the integration of DW and QA systems, in (Qu et al, 2007), a scheme about a DW design based on data mining techniques was put forward in order to overcome the defects of current Chinese QA systems. In (Roussinov & Robles-Flores, 2004), authors explored the feasibility of a completely trainable approach to automated QA on the Web for the purpose of business intelligence and other practical applications.…”

The Design and Implementation of an Interactive Intelligent Chinese Question Answering System

“…Many experts have done a lot in this field and have brought many beneficial results, such as Chinese QA system based on ontology [3], semantic similarity [4], data-mining [5], semantic web [6] and retrieval [7], etc.…”