4.0 Article

A meta-engine for building domain-specific search engines

期刊

SOFTWARE IMPACTS
卷 7, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.simpa.2020.100052

关键词

Domain-specific search; Knowledge graphs; Information extraction; Complex domains; Knowledge discovery; Information retrieval

资金

  1. Defense Advanced Research Projects Agency (DARPA), United States
  2. Air Force Research Laboratory (AFRL), United States [FA8750-14C-0240]

向作者/读者索取更多资源

Domain-specific search has become increasingly important in the fields of artificial intelligence and information retrieval. Our group has developed the myDIG system, which provides a simple and customizable workflow for building DSS without advanced technical training. The system has been applied to important and challenging use cases, as well as used in graduate classrooms for building complex DSSs from scratch.
In recent years, domain-specific search (DSS) has emerged as a growing and important area of applied research in artificial intelligence (AI) and information retrieval (IR). Over the last 6 years of research, our group has developed a 'meta-engine' called myDIG (my Domain-specific Insight Graphs) that provides a relatively easy and customizable workflow for building DSSs without advanced technical training in crawling, information retrieval or user-interfaces. The myDIG system has been applied to some important and difficult use cases (most notably, fighting human trafficking), in addition to being used in classrooms by graduate students for building complex DSSs from scratch.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.0
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据