【24h】

Integrating Keywords and Semantics on Document Annotation and Search

机译:在文档注释和搜索中整合关键字和语义

获取原文

摘要

This paper describes GoNTogle, a framework for document annota-tion and retrieval, built on top of Semantic Web and IR technologies. GoN-Togle supports ontology-based annotation for documents of several formats, in a fully collaborative environment. It provides both manual and automatic anno-tation mechanisms. Automatic annotation is based on a learning method that exploits user annotation history and textual information to automatically sug-gest annotations for new documents. GoNTogle also provides search facilities beyond the traditional keyword-based search. A flexible combination of key-word-based and semantic-based search over documents is proposed in conjunc-tion with advanced ontology-based search operations. The proposed methods are implemented in a fully functional tool and their effectiveness is experimen-tally validated.
机译:本文介绍了GoNTogle,它是一种基于语义Web和IR技术构建的文档注释和检索框架。 GoN-Togle在完全协作的环境中支持多种格式文档的基于本体的注释。它提供手动和自动注释机制。自动注释基于一种学习方法,该方法利用用户注释历史记录和文本信息为新文档自动建议注释。 GoNTogle还提供了超越传统的基于关键字的搜索功能的搜索功能。结合基于高级本体的搜索操作,提出了基于关键字的基于关键字的搜索和基于语义的基于文档的搜索的灵活组合。所提出的方法是在功能齐全的工具中实施的,其有效性已通过实验验证。

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