首页> 外文会议>International conference on information knowledge engineering >How to Build an Ontology Driven Information Retrieval System
【24h】

How to Build an Ontology Driven Information Retrieval System

机译:如何构建本体驱动信息检索系统

获取原文

摘要

In this paper, we present an approach to build an ontology driven information retrieval system. This approach has been implemented on the HyperManyMedia platform, and is already being used by online students at WKU. The design of this work is based on the following steps: (1) using a knowledge-based framework that supports ontology modeling such as Protege, (2) constructing the E-learning domain ontology of the "HyperManyMedia" repository, (3) implementation using the Nutch search engine, (4) providing the learner with semantic term recommendation, and (5) visualizing the ontology as a directed graph. As of 2006, the "HyperManyMedia" search engine has been ranked number 24 on "The Ultimate Guide to Using Open Courseware," (between Cambridge University and Harvard Business), and followed by Princeton, Stanford, Yale, Johns Hopkins, and Boston College.
机译:在本文中,我们提出了一种构建本体驱动信息检索系统的方法。这种方法已经在高白妇女地带平台上实施,并已被WKU的在线学生使用。本工作的设计基于以下步骤:(1)使用基于知识的框架,支持本体建模,如Quotege,(2)构建“HyperManymedia”存储库的电子学习域本体,(3)实施使用Nutch搜索引擎,(4)为学习者提供语义术语推荐,(5)可视化本体作为定向图。截至2006年,“高级美女”搜索引擎在“使用开放课件的最终指南”(剑桥大学和哈佛大学业务)上排名第24号,然后是普林斯顿,斯坦福,耶鲁,约翰霍普金斯和波士顿学院。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号