Aika

Aika is an open source text mining engine that automatically extracts and annotates semantic information into text. For a case where the extracted information is ambigous Aika generates several hypothetical interpretations concerning the meaning of the text and pick the most likely one.Aika algorithm is based on various ideas and approaches from the field of AI such as artificial neural networks, frequent pattern mining and logic based expert systems. Aika is written in Java and distributed under the Apache license.

Aika is based on non-monotonic logic, meaning that it first draws tentative conclusions only. In other words, Aika is able to generate multiple mutually exclusive interpretations of a word, phrase, or sentence, and select the most likely interpretation. The Aika algorithm is based on various ideas and approaches from the field of AI such as artificial neural networks, frequent pattern mining and logic based expert systems. It can be applied to a broad spectrum of text analysis tasks and combines these concepts in a single algorithm.

Aika allows to model linguistic concepts like words, word meanings (entities), categories (e.g. person name, city), grammatical word types and so on as neurons in a neural network. In contrast to conventional neural networks, Aika propagates activation objects through its network, not just activation values. These activation objects refer to a specific text segment and a given interpretation.Aika consists of two layers.

The neural layer , containing all the neurons and continuously weighted synapses and underneath that the discrete logic layer , containing a boolean representation of all the neurons. The logic layer uses a frequent pattern lattice to efficiently store the individual logic nodes.

This architecture allows Aika to process extremely large networks in which only neurons that are activated by a logic node need to compute their weighted sum and their activation value. This means that the fast majority of neurons stays inactive during the processing of a given text.