Date of Original Version
"© ACM, 2001. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in the Proceedings of the 1st ACM/IEEE-CS Joint Conference on Digital Libraries, 1-58113-345-6 (2001).http://doi.acm.org/10.1145/379437.379777http://doi.acm.org/10.1145/nnnnnn.nnnnnn"
Abstract or Description
Much current research on digital libraries focuses on named entity extraction and transformation into structured information. Examples include entities like events, people, and places, and attributes like birth date or latitude. This video demonstration illustrates the potential for finding relationships among entities extracted from 50,000 news segments from CMU’s Informedia Digital Video Library. A visual query language is used to specify relationships among entities. Data populate the query structure, which becomes an interface for exploration that gives continuous feedback in the form of visualizations of summary statistics. The target user is a data analyst familiar with the domain from which the entities come, but not a computer scientist.