SemreX: Towards Large-Scale Literature Information Retrieval and Browsing with Semantic Association
SemreX: Towards Large-Scale Literature Information Retrieval and Browsing with Semantic Association
复制标题
DOI：
10.1109/icebe.2006.87
复制
发表时间：
2006-10
期刊：
影响因子：
--
通讯作者：
Xiaomin Ning;Hai Jin;Hao Wu
中科院分区：
文献类型：
--
作者：
Xiaomin Ning;Hai Jin;Hao Wu
科技文献信息的获取是科研工作者一项十分重要的日常工作，也是一项耗时的工作。目前的检索方法通常限于使用信息检索技术的基于关键字的搜索。在本文中，我们提出了SemreX，它实现了高效的大规模文献检索和浏览与一个单一的访问点基于语义Web技术。提出语义关联的概念，揭示语义实体之间的显式或隐式关系，结合基于本体的信息可视化技术，方便研究者检索语义相关的信息，以及上下文关系，可以捕捉用户当前的搜索意图，同时保持科学知识的全貌
Access to scientific literature information is a very important, as well as time-consuming daily work for scientific researchers. Current methods of retrieval are usually limited to keyword-based searching using information retrieval techniques. In this paper, we present SemreX which implements efficient large-scale literature retrieval and browsing with a single access point based on semantic Web technologies. The concept of semantic association is proposed to reveal explicit or implicit relationships between semantic entities, combining with the ontology-based information visualization technique so as to facilitate researchers retrieving semantically relevant information, as well as context relationships which can capture user's current search intentions while preserving an overall picture of scientific knowledge