A meta-engine for building domain-specific search engines

被引：4
|
作者：
Kejriwal, Mayank [1 ]
机构：
[1] Univ Southern Calif, Informat Sci Inst, 4676 Admiralty Way,Suite 1001, Marina Del Rey, CA 90502 USA
来源：
SOFTWARE IMPACTS | 2021年 / 7卷
关键词：
Domain-specific search; Knowledge graphs; Information extraction; Complex domains; Knowledge discovery; Information retrieval;
D O I：
10.1016/j.simpa.2020.100052
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
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.
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页数：3
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