Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Studying how the past is remembered: towards computational history through large scale text mining
Proceedings of the 20th ACM international conference on Information and knowledge management
A subjunctive exploratory search interface to support media studies researchers
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Cognitive temporal document priors
ECIR'13 Proceedings of the 35th European conference on Advances in Information Retrieval
Using temporal bursts for query modeling
Information Retrieval
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The availability of digitized collections of historical data, such as newspapers, increases every day. With that, so does the wish for historians to explore these collections. Methods that are traditionally used to examine a collection do not scale up to today's collection sizes. We propose a method that combines text mining with exploratory search to provide historians with a means of interactively selecting and inspecting relevant documents from very large collections. We assess our proposal with a case study on a prototype system.