Texai is a knowledge-based software project to create artificial intelligence.
Texai's knowledge base is stored in the Sesame RDF server. Because the initial knowledge base is large, it has been partitioned into separate Sesame repositories. These have been extracted into RDF and have been released in the file download section here.
The project's domain objects are persisted in Sesame using the RDF Entity Manager and semantic annotations. The RDF Entity Manager is released as a separate component.
The dialog system is presently under development and will be released when it is able to process its bootstrap use cases.
Requirements:
· Java Runtime Environment (JRE) 1.5 or later
What's New in This Release:
· This release contains a Java library that implements the Spreading Activation artificial intelligence algorithm, which iteratively searches a directed graph by spreading activation over weighted links between nodes. Javadoc, GraphViz output, and unit test examples are included.
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