Question-answering Semantic Search System Based on the Semantic Web

被引：0

作者：

Ma, Yuanchao ^{[1
]}

He, Yu ^{[1
]}

机构：

[1] Beijing Technol & Business Univ, Sch Comp & Informat Engn, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON COOPERATION AND PROMOTION OF INFORMATION RESOURCES IN SCIENCE AND TECHNOLOGY(COINFO 10) | 2010年

关键词：

Semantic Web; Natural Language Processing; Question-answering Search System; Semantic Search; OWL Modeling;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Searches based on keywords, which is the currently most widely used search technology, is not satisfactory because of its lack of semantic information. To solve this problem, this paper comes out with a new information retrieval system based on semantic web and natural language processing, and designs a new mapping algorithm from natural language questions to semantic resources. A Java-based small college-oriented question-answering semantic search system implementing the algorithm is designed, which shows satisfactory performance.

引用

页码：1 / 5

页数：5