Journal
SOFTWARE IMPACTS
Volume 7, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.simpa.2020.100052
Keywords
Domain-specific search; Knowledge graphs; Information extraction; Complex domains; Knowledge discovery; Information retrieval
Categories
Funding
- Defense Advanced Research Projects Agency (DARPA), United States
- Air Force Research Laboratory (AFRL), United States [FA8750-14C-0240]
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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.
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