An information retrieval system which performs the clustering of results by the automatic selection document descriptor, formal concept analysis and latent semantic indexing techniques.

The IR system analyses the results and retrieves a concept lattice (showing the he most general information on the top and the most specific on the bottom) and allowing the user to browse across the relevant documents in a different fashion.

The system integrates an IR technology with information extraction and formal concept analysis techniques.

The system needs an IR module which retrieves a set of relevant documents from a query, expressing the user’s information needs. The system is currently using the Yahoo! and Google API to retrieve documents from the Web, but this is an independent module.

The added value of this technology, which is a result of a research project, is that a new form of exploring the results and browsing across relevant information, is proposed, allowing the non explicit relations discovery.

JBraindDead is the result of a PhD thesis.

• J. Cigarrán, A. Peñas, J. Gonzalo, F. Verdejo. 2005. “Automatic selection of noun phrases as document descriptors in an FCA-based Information Retrieval system”. International Conference on Formal Concept Analysis (ICFCA 2005). Lecture Notes in Computer Science. Springer-Verlag, vol. 3403.
• J. Cigarrán, J. Gonzalo, A. Peñas, F. Verdejo (2004). “Browsing search results via Formal Concept Analysis: Automatic selection of Attributes”. Concept Lattices Proceedings of the Second International Conference on Formal Concept Analysis (ICFCA 2004). Lecture Notes in Computer Science. Springer-Verlag.