Four groups have been developing IBM Watson-like systems based on open source work.
The U.S. Defense Advanced Research Projects Agency's DeepDive project is designed to emulate Watson's ability to improve its decision-making over time with human guidance. DeepDive, developed by University of Wisconsin-Madison professor Christopher Re, aims to create an automated system for classifying unstructured data.
IBM's Unstructured Information Management architecture, which was open-sourced and is being maintained by the Apache Foundation, features support for multiple programming languages, with updates added periodically.
OpenCog aims to provide research scientists and software developers with a common platform to build and share artificial intelligence programs. The framework already is in use in natural-language applications, both for research and commercial corporations, according to OpenCog's creators.
The Open Advancement of Question Answering Systems program, jointly initiated by IBM and Carnegie Mellon University, aims to develop "open advancement in the engineering of question answering system — language software systems that provide direct answers to questions posed in natural language."
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Abstracts Copyright © 2014 Information Inc., Bethesda, Maryland, USA
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