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计算机工程 ›› 2009, Vol. 35 ›› Issue (11): 184-186. doi: 10.3969/j.issn.1000-3428.2009.11.063

• 人工智能及识别技术 • 上一篇    下一篇

面向垂直搜索引擎的基于知识的语义关联算法

高一波1,赵先章1,2,孙 硕1,黄 河3   

  1. (1. 中国科学院自动化研究所,北京 2. 中国农业大学信息与电气工程学院,北京 100083; 3. 哈尔滨工业大学计算机科学与技术学院,哈尔滨 150001)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-06-05 发布日期:2009-06-05

Vertical Search Engine-aimed Semantic Correlation Algorithm Based on Knowledge

GAO Yi-bo1, ZHAO Xian-zhang1,2, SUN Shuo1, HUANG He3   

  1. (1. Institute of Automation, Chinese Academy of Sciences, Beijing 100190; 2. College of Information & Electrical Engineering, China Agricultural University, Beijing 100083; 3. College of Computer Science & Technology, Harbin Institute of Technology, Harbin 150001)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-06-05 Published:2009-06-05

摘要: 提出一种面向垂直搜索引擎的基于知识的语义关联算法,以知识表达技术及语义关联度计算为核心,建立语义关联规则,在语义扩展基础上提高查询招回率和语义相关度计算高检索的准确性,同时根据农产品物流领域的特点,设计并实现了用于农产品物流ASP平台的垂直搜索引擎。

关键词: 概念知识树, 知识表达, 语义计算, 垂直搜索

Abstract: A new vertical search engine-aimed semantic correlation algorithm based on knowledge is presented, which emphasizes knowledge representation technique and semantic association calculation to build up semantic rules. The query recall rate and the retrieval accuracy of both semantic extension and semantic association calculation are promoted. According to the characteristic in fields of agricultural products logistics, the vertical search engine in the Application Service Probider(ASP) platform is designed and implemented.

Key words: concept knowledge tree, knowledge representation, semantic calculation, vertical search

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