BEATCA stands for Bayesian and Evolutionary Approach to Text Connectivity Analysis. It represents a new approach to document collection analysis and search in the main stream of so-called “landscape metaphor”. BEATCA applies new concepts for document maps generation, including map stabilization and navigation based on large scale Bayesian networks techniques called ETC and new concepts of map cell filling based on Growing Neural Gas and Artificial Immune Paradigms combined with WebSOM approach.
BEATCA may be considered as a search engine with document map type user interface, dedicated for small collections of documents (a couple of millions at present). The core of this application can also be accessed by Personalization Services of the Personal Reader framework to search for data in an individualized way.