Preliminary Experiments on Literature Based Discovery using the Semantic Vectors Package

This paper presents a literature based discovery (LBD) implementation that uses Lucene for indexing, the Semantic Vectors (SV) package for latent semantic analysis, Neo4j for graph database storage, Gephi for visual representation along with custom code written by the author. The approach of using a latent semantic analysis based systems like SV to do LBD is not new, but going the next steps of examining related concepts and using a graph database representation for finding candidate linking terms is. The LBD system is a framework where relation extraction experiments may be performed. This paper presents work that is in progress.