...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>International Journal of Systems and Service-Oriented Engineering >Multidimensional Ontology- Based Information Retrieval for Academic Counseling
【24h】

Multidimensional Ontology- Based Information Retrieval for Academic Counseling

机译：基于多维本体的学术咨询信息检索

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Conventional information retrieval can only locate documents containing user specified keywords. Integrating domain ontology with information retrieval extends the keyword-based search to semantic search and thus potentially improves the precision and recall of the document retrieval. In this paper, a set of new multidimensional ontology-based information retrieval algorithms is proposed for searching both specific and related terms. In particular, the relevant data properties of an instance, the relevant concepts, the relevant related concepts, and the related instances of a given user query can be identified from the domain ontology via the multidimensional search. Using the proposed algorithms, an intelligent counselling system which provides 24x7 online academic counselling services is developed. Through an interactive user-interface and domain ontology, the system facilitates students to find desired information by reviewing and refining their query. The article also outlines how to enable ontology-based searching for a conventional website.
机译：常规信息检索只能找到包含用户指定关键字的文档。将域本体与信息检索集成在一起，可以将基于关键字的搜索扩展到语义搜索，从而潜在地提高了文档检索的准确性和查全率。本文提出了一套新的基于多维本体的信息检索算法，用于同时搜索特定和相关术语。特别地，可以经由多维搜索从域本体中识别实例的相关数据属性，相关概念，相关相关概念以及相关实例。使用提出的算法，开发了提供24x7全天候在线学术咨询服务的智能咨询系统。通过交互式的用户界面和领域本体，该系统通过审查和完善他们的查询来帮助学生找到所需的信息。本文还概述了如何启用基于本体的常规网站搜索。

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