Information retrieval system: For skill set improvement in software projects

In this paper, a new indexing technique is proposed which retrieves the proximity of the keyword when exact match is not found. It is based on a signature graph along with n-ary tree which retrieves the relevant information when exact match does not exist. The index structure arranges signatures in aggregation hierarchy which leads to improvement of query evaluation. It also uses an n-ary tree data structure which is a hierarchy of keywords which is used to map in case of inexact match. As a proof of concept, a small application is built for a project manager to organize and retrieve resources efficiently. The application retrieves employee with required skill set and if such person is not available then it locates the closest match for the requirement. It also provides adequate resources to improve skill sets of the closest match selected. Thus, this system provides one point solution for the project manager.